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section-decodes.tex
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section-decodes.tex
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\chapter{Filters}
\section{Introduction}
\subsection{Key Concepts}
ngscopeclient and libscopehal are based on a ``filter graph" architecture internally. The filter graph is a directed
acyclic graph with a set of source nodes (waveforms captured from hardware, loaded from a saved session, or generated
numerically) and sink nodes (waveform views, protocol analyzer views, and statistics) connected by edges representing
data flow.
A filter is simply an intermediate node in the graph, which takes input from zero or more waveform nodes and outputs a
waveform which may be displayed, used as input to other filters, or both. A waveform is a series of data points which
may represent voltages, digital samples, or arbitrarily complex protocol data structures.
As a result, there is no internal distinction between math functions, measurements, and protocol decodes, and it is
possible to chain them arbitrarily. Consider the following example:
\begin{itemize}
\item Two analog waveforms representing serial data and clock are acquired
\item Each analog waveform is thresholded, producing a digital waveform
\item The two digital waveforms are decoded as $I^2C$, producing a series of packets
\item The $I^2C$ packets are decoded as writes to a serial DAC, producing an analog waveform
\item A moving average filter is applied to the analog waveform
\item A measurement filter finds the instantaneous frequency of each cycle of the DAC output
\end{itemize}
In this document we use the term ``filter" consistently to avoid ambiguity.
\subsection{Conventions}
A filter can take arbitrarily many inputs (vector or scalar values from the filter graph), arbitrarily many parameters
(static scalar configuration settings), and outputs arbitrarily many vector or scalar outputs.
If the output signal is a multi-field type (as opposed to a single scalar, e.g. voltage, at each sample) the
``Output Signal" section will include a table describing how various types of output data are displayed.
All filters with complex output use a standardized set of colors to display various types of data fields in a
consistent manner. These colors are configurable under the \menustyle{Appearance / Decodes} preferences category.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Color name} & \textbf{Use case} & \textbf{Default Color} \\
\thickhline
Address & Memory addresses & \cellcolor{address}\textcolor{black}{\#ffff00} \\
\thinhline
Checksum Bad & Incorrect CRC/checksum & \cellcolor{checksumbad}\textcolor{white}{\#ff0000} \\
\thinhline
Checksum OK & Valid CRC/checksum & \cellcolor{checksumok}\textcolor{black}{\#00ff00} \\
\thinhline
Control & Miscellaneous control data & \cellcolor{control}\textcolor{white}{\#c000a0} \\
\thinhline
Data & User data & \cellcolor{data}\textcolor{white}{\#336699} \\
\thinhline
Error & Malformed/unreadable data & \cellcolor{error}\textcolor{white}{\#ff0000} \\
\thinhline
Idle & Inter-frame gaps & \cellcolor{idle}\textcolor{white}{\#404040} \\
\thinhline
Preamble & Preamble/sync words & \cellcolor{preamble}\textcolor{white}{\#808080} \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{128b/130b}
\label{filter:128b130b}
Decodes the 128b/130b line code used by PCIe gen 3/4/5. This filter performs block alignment and descrambling, but no
decoding of block contents.
128b/130b, as a close relative of \hyperref[filter:128b130b]{64b/66b}, is a serial line code which divides transmitted
data into 128-bit blocks and scrambles them with a LFSR, then appends a 2-bit type field (which is not scrambled) to
each block for synchronization. Block synchronization depends on always having an edge in the type field so types 2'b00
and 2'b11 are disallowed.
For PCIe over 128b/130b, block type 2'b01 contains 128 bits of upper layer protocol data while block type 2'b10
contains an ordered set.
Note that this filter only performs block alignment and descrambling. No decoding or parsing is applied to the 128-bit
blocks, other than searching for skip ordered sets (beginning with 0xaa) and using them for scrambler synchronization.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/128b130b.png}
\caption{Example 128b/130b decode}
\label{filter_128b130b}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-pcie-gen3.png}
\caption{Example filter graph using 128b/130b to decode a 2-lane PCIe gen3 link}
\label{filter_graph_128b130b}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Digital & Serial 128b/130b data line \\
\thinhline
clk & Digital & DDR bit clock, typically generated by use of the \hyperref[filter:cdrpll]{Clock Recovery
(PLL)} filter on the input data.\\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
The 128B/130B filter outputs a time series of 128B/130B sample objects. These consist of a control/data flag and
a 128-bit data block.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Sparse protocol & Output decode \\
\thickhline
\end{tabularx}
\begin{tabularx}{16cm}{lllX}
\thickhline
\textbf{Type} & \textbf{Description} & \textbf{Color} & \textbf{Format} \\
\thickhline
Ordered set & Block with type 2'b10 & \cellcolor{control}\textcolor{white}{Control} & \%032x \\
\thinhline
Data & Block with type 2'b01 & \cellcolor{data}\textcolor{white}{Data} & \%032x \\
\thinhline
Error & Block with type 2'b00 or 2'b11 & \cellcolor{error}\textcolor{white}{Error} & \%032x \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{2-Port Shunt Through}
\label{filter:2portshuntthrough}
Measures the impedance of a DUT connected to a VNA in a 2-port shunt-through topology (VNA ports 1 and 2 connected,
with DUT attached between the connection point and ground). This is commonly used for measuring very low impedance
networks, such as power distribution networks.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{64b/66b}
\label{filter:64b66b}
Decodes the 64/66b line code used by \hyperref[filter:10gbaser]{10Gbase-R} and other serial protocols, as originally
specified in IEEE 802.3 clause 49.2.
64b/66b is a serial line code which divides transmitted data into 64-bit blocks and scrambles them with a LFSR, then
appends a 2-bit type field (which is not scrambled) to each block for synchronization. Block synchronization depends on
always having an edge in the type field so types 2'b00 and 2'b11 are disallowed.
Note that this filter only performs block alignment and descrambling. No decoding is applied to the 64-bit blocks, as
different upper-layer protocols assign different meaning to them. In 10Gbase-R, type 2'b01 denotes ``64 bits of upper
layer data" and type 2'b10 denotes ``8-bit type field and 56 bits of data whose meaning depends on the type", however
this is not universal and some other protocols use these fields for different purposes.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/64b66b.png}
\caption{Example 64b/66b decode}
\label{filter_64b66b}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-10gbe.png}
\caption{Example filter graph using 64b/66b to decode a 10Gbase-R signal}
\label{filter_graph_64b66b}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Digital & Serial 64b/66b data line \\
\thinhline
clk & Digital & DDR bit clock, typically generated by use of the \hyperref[filter:cdrpll]{Clock Recovery
(PLL)} filter on the input data.\\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
The 64B/66B filter outputs a time series of 64B/66B sample objects. These consist of a control/data flag and
a 64-bit data block.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Sparse protocol & Output decode \\
\thickhline
\end{tabularx}
\begin{tabularx}{16cm}{lllX}
\thickhline
\textbf{Type} & \textbf{Description} & \textbf{Color} & \textbf{Format} \\
\thickhline
Control & Block with type 2'b10 & \cellcolor{control}\textcolor{white}{Control} & \%016x \\
\thinhline
Data & Block with type 2'b01 & \cellcolor{data}\textcolor{white}{Data} & \%016x \\
\thinhline
Error & Block with type 2'b00 or 2'b11 & \cellcolor{error}\textcolor{white}{Error} & \%016x \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{8B/10B (IBM)}
\label{filter:8b10b}
Decodes the standard 8b/10b line code used by \hyperref[filter:sgmii]{SGMII}, \hyperref[filter:1000basex]{1000base-X},
DisplayPort, JESD204, \hyperref[filter:pcie2_logical]{PCIe gen 1/2}, SATA, USB 3.0, and many other common serial
protocols.
8b/10b is a dictionary based code which converts each byte of message data to a ten-bit code. In order to maintain DC
balance and limit run length to a maximum of five identical bits in a row, all 8-bit input codes have one of:
\begin{itemize}
\item One legal coding, with exactly five zero bits
\item Two legal codings, one with four zero bits and one with six
\end{itemize}
The transmitter maintains a ``running disparity" counter and chooses the appropriate coding for each symbol to ensure
DC balance. There are twelve legal codes which are not needed for encoding data values; these are used to encode
frame boundaries, idle/alignment sequences, and other control information.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/8b10b.png}
\caption{Example 8b/10b decode}
\label{filter_8b10b}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-1000basex.png}
\caption{Example filter graph using 8b/10b to decode a differential 1000base-X link}
\label{filter_graph_8b10b}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Digital & Serial 8b/10b data line \\
\thinhline
clk & Digital & DDR bit clock, typically generated by use of the \hyperref[filter:cdrpll]{Clock Recovery
(PLL)} filter on the input data.\\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thinhline
Comma Search Window & Integer &
Number of unit intervals to search when performing comma alignment. A larger window increases the probability of a
correct lock, but significantly slows down the decode. \\
\thinhline
Display Format & Enum &
\textbf{Dotted (K28.5 D21.5)}: displays the 3b4b and 5b6b code blocks separately, with K or D prefix. \newline
\textbf{Hex (K.bc b5)}: displays data as hex byte values and control codes with a K prefix. \\
\thickhline
\end{tabularx}
\subsection{Output Signal}
The 8B/10B filter outputs a time series of 8B/10B sample objects. These consist of a control/data flag, the current
running disparity, and a byte of data.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Sparse protocol & Output decode \\
\thickhline
\end{tabularx}
\begin{tabularx}{16cm}{lllX}
\thickhline
\textbf{Type} & \textbf{Description} & \textbf{Color} & \textbf{Format} \\
\thickhline
Control & Control codes & \cellcolor{control}\textcolor{white}{Control} & K\%d.\%d+ or K\%02x\\
\thinhline
Data & Upper layer protocol data & \cellcolor{data}\textcolor{white}{Data} & D\%d.\%d+ or \%02x\\
\thinhline
Error & Malformed data & \cellcolor{error}\textcolor{white}{Error} & ERROR \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{8B/10B (TMDS)}
\label{filter:tmds}
Decodes the 8-to-10 Transition Minimized Differential Signalling line code used in \hyperref[filter:dvi]{DVI} and
\hyperref[filter:hdmi]{HDMI}.
Like the \hyperref[filter:8b10b]{8B/10B (IBM)} line code, TMDS is an 8-to-10 bit serial line code. TMDS, however, is
designed to \emph{minimize} the number of toggles in the data stream for EMC reasons, rendering it difficult to
synchronize a CDR PLL to. As a result, HDMI and DVI provide a reference clock at the pixel clock rate (1/10 the serial
data bit rate) along with the data stream to provide synchronization.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/tmds.png}
\caption{Example TMDS decode}
\label{filter_tmds}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-tmds.png}
\caption{Example filter graph decoding TMDS from a single-ended input. Note that this example recovers the clock from
the input signal rather than multiplying up the reference clock.}
\label{filter_graph_tmds}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Digital & Serial TMDS data line \\
\thinhline
clk & Digital & DDR \emph{bit} clock, typically generated by use of the \hyperref[filter:cdrpll]{Clock Recovery
(PLL)} filter on the input data. Note that this is 5x the rate of the pixel clock signal. \\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thinhline
Lane Number & Integer & Lane number within the link (0-3)\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
The TMDS filter outputs a time series of TMDS sample objects. These consist of a type field and a byte of data.
The output of the TMDS decode is commonly fed to the \hyperref[filter:dvi]{DVI} or \hyperref[filter:hdmi]{HDMI}
protocol decoders.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Sparse protocol & Output decode \\
\thickhline
\end{tabularx}
\begin{tabularx}{16cm}{lllX}
\thickhline
\textbf{Type} & \textbf{Description} & \textbf{Color} & \textbf{Format} \\
\thickhline
Control & Control codes (H/V sync) & \cellcolor{control}\textcolor{white}{Control} & CTL\%d \\
\thinhline
Data & Pixel/island data & \cellcolor{data}\textcolor{white}{Data} & \%02x \\
\thinhline
Error & Malformed data & \cellcolor{error}\textcolor{white}{Error} & ERROR \\
\thinhline
Guard band & HDMI data/video guard band & \cellcolor{preamble}\textcolor{white}{Preamble} & GB \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{AC Couple}
\label{filter:accouple}
Automatically removes a DC offset from an analog waveform by subtracting the average of all samples from each sample.
This filter should only be used in postprocessing already acquired data, or other situations in which AC coupling in
the hardware (via an AC coupled probe, or coaxial DC block) is not possible.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/accouple.png}
\caption{Example input and output of the AC Couple filter}
\label{filter_accouple}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-accouple.png}
\caption{Example filter graph AC coupling an input waveform}
\label{filter_graph_accouple}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
This filter outputs an analog waveform with identical configuration (sparse or uniform) and sample rate to the input,
vertically shifted to center the signal at zero volts.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Analog & Output decode \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{AC RMS}
\label{filter:acrms}
Measures the Root Mean Square value of the waveform after removing any DC offset. The DC offset is calculated by
averaging all samples in the waveform.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/acrms.png}
\caption{Example usage of the AC RMS filter on a QAM modulated signal}
\label{filter_acrms}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-acrms.png}
\caption{Example filter graph measuring RMS value of a waveform}
\label{filter_graph_acrms}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
This filter has two output streams.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
trend & Sparse analog & One sample per cycle of the input waveform containing the RMS value across that cycle \\
\thinhline
avg & Scalar & RMS value across the entire waveform \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Add}
\label{filter:add}
This filter adds two inputs. Either input may be a vector (waveform) or scalar.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/add.png}
\caption{Example usage of adding two analog waveforms}
\label{filter_add}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-add.png}
\caption{Example filter graph adding two analog waveforms}
\label{filter_graph_add}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
a & Analog waveform or scalar & First input waveform\\
\thinhline
b & Analog waveform or scalar & Second input waveform\\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
If both inputs are vectors, this filter outputs a waveform containing the pairwise sum; i.e. sample $i$ of the output
is $a[i] + b[i]$. No resampling is performed on the inputs so incorrect or unexpected results may occur if they do not
share the same timebase. Both inputs must be the same type (both sparse or both uniform), mixing sparse and uniform
(even if the sample timestamps are the same) is not allowed.
If both inputs are scalars, this filter outputs their sum.
If one input is a vector and the other is a scalar, this filter outputs the sum of the scalar and each element of the
waveform, i.e. sample $i$ of the output is $a + b[i]$ for the scalar + vector case and $a[i] + b$ for the vector +
scalar.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Analog & One sample per cycle of the input waveform containing the sum of the a and b inputs at that time \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Area Under Curve}
\label{filter:AreaUnderCurve}
TODO: needs to be updated when we port to scalar interface
Measures the area under the curve by integrating the data points. By default, area measured above ground is considered
as positive and area measured below the ground is considered negative. The negative area can also be considered as positive
by changing a filter parameter. The measurement can be performed on the full record or on each cycle.
\begin{figure}[h]
\centering
\bigimage{images/filters/true-area.png}
\caption{Example of true area under the curve measurement (Integral)}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{images/filters/absolute-area.png}
\caption{Example of absolute area under the curve measurement}
\end{figure}
\pagebreak
\begin{figure}[h]
\centering
\bigimage{images/filters/per-cycle-absolute-area.png}
\caption{Example of per-cycle absolute area under the curve measurement}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
Measurement Type & Enum &
\textbf{Full Record}: Measure the area of entire waveform \newline
\textbf{Per Cycle}: Measure the area of each cycle in the waveform\\
\thinhline
Area Type & Enum &
\textbf{True Area}: Consider area below ground as negative\newline
\textbf{Absolute Area}: Consider area below ground as positive\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
For full record measurement, this filter outputs a waveform indicating total area measured till the time on the waveform.
For per cycle measurement, this filter outputs waveform representing area of each cycle.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{ADL5205}
\label{filter:adl5205}
Decodes SPI data traffic to one half of an ADL5205 variable gain amplifier.
TODO: Screenshot
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
spi & SPI bus & The SPI data bus \\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
This filter outputs one ADL5205 sample object for each write transaction, formatted as ``write: FA=2 dB, gain=8 dB".
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Autocorrelation}
\label{filter:autocorrelation}
This filter calculates the autocorrelation of an analog waveform. Autocorrelation is a measure of self-similarity
calculated by multiplying the signal with a time-shifted copy of itself. In Fig. \ref{filter_autocorrelation}, strong peaks
can be seen at multiples of the 8b/10b symbol rate.
For best performance, it is crucial to keep the maximum offset as low as possible, since filter run time grows linearly
with offset range.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/autocorrelation.png}
\caption{Example waveforms showing autocorrelation of an 8b/10b signal}
\label{filter_autocorrelation}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-autocorrelation.png}
\caption{Example filter graph showing usage of autocorrelation filter}
\label{filter_graph_autocorrelation}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Uniform analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
Max offset & Integer & Maximum shift (in samples)\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
This filter outputs an analog waveform with the same timebase as the input, one sample for each correlation offset.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Stream name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Uniform analog & Autocorrelation waveform \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Average}
\label{filter:average}
This filter calculates the average of its input.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/average.png}
\caption{Typical usage of average filter}
\label{filter_average}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-average.png}
\caption{Example filter graph showing usage of average filter}
\label{filter_graph_average}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
in & Analog or scalar & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
latest & Scalar & Average of the filter's current input \\
\thinhline
cumulative & Scalar & Average of all input since the last clear-sweeps\\
\thinhline
totalSamples & Scalar & Total number of integrated samples \\
\thinhline
totalWaveforms & Scalar & Total number of integrated waveforms \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Bandwidth}
Calculates the -3 dB bandwidth of a network, given the insertion loss magnitude.
The bandwidth is measured relative to a user-specified reference level; for example the bandwidth of a -20 dB
attenuator can be measured by setting the reference level to -20 dB.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/bandwidth.png}
\caption{Measuring the -3 dB bandwidth of a cable}
\label{filter_bandwidth}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-bandwidth.png}
\caption{Example filter graph showing usage of bandwidth filter on an imported Touchstone file}
\label{filter_graph_bandwidth}
\end{figure}
\FloatBarrier
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform (typically S21) \\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
Reference Level & Float & Nominal (DC / mid band) insertion loss of the network\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
This filter outputs a scalar containing the first frequency in the network which is at least -3 dB below the reference
level. If the input waveform is entirely below this level, the lowest frequency in the input is returned. If the
input waveform is entirely above this level, the highest frequency in the input is returned.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Scalar & Calculated bandwidth \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Base}
\label{filter:base}
TODO: needs to be updated when we port to scalar interface
Calculates the base (logical zero level) of each cycle in a digital waveform.
It is most commonly used as an input to statistics, to view the average base of the entire waveform. At times, however,
it may be useful to view the base waveform. For example, in Fig. \ref{filter_base}, the vertical eye closure caused by
channel ISI is readily apparent.
\begin{figure}[h]
\centering
\bigimage{images/filters/base.png}
\caption{Example of base measurement on a serial data stream}
\label{filter_base}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
This filter takes no parameters.
\subsection{Output Signal}
This filter outputs an analog waveform with one sample for each group of logical zeroes in the input signal, containing
the average value of the zero level for the middle 50\% of the low period.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{BIN Import}
Loads an Agilent / Keysight / Rigol binary waveform file.
%\begin{figure}[h]
%\centering
%\bigimage{images/filters/autocorrelation.png}
%\caption{Example of autocorrelation on a serial data stream}
%\label{filter_accouple}
%\end{figure}
\subsection{Inputs}
This filter takes no inputs.
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
BIN File & Filename & Path to the file being imported\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
This filter outputs a uniformly sampled analog waveform for each channel in the file. The number of output streams is
variable based on how many channels are present in the file.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Burst Width}
Measures the burst width of each burst in a waveform. A Burst is a sequence of adjacent crossings of the mid level reference
of the waveform. Burst width is the duration of this sequence. Bursts are separated by a user-defined idle time that can be
provided as a parameter to this filter. The measurement is made on each burst in the waveform.
\begin{figure}[h]
\centering
\bigimage{images/filters/burst-width.png}
\caption{Example of burst width measurement}
\label{filter_burstwidth}
\end{figure}
\subsection{Inputs}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
din & Analog & Input waveform \\
\thickhline
\end{tabularx}
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
Idle Time & Integer & Minimum idle time with no toggles, before declaring start of a new burst\\
\thickhline
\end{tabularx}
\subsection{Output Signal}
This filter outputs an analog waveform with one sample for each burst in the input signal.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{Bus Heatmap}
Computes a ``spectrogram" visualization of bus activity with address on the Y axis and time on the X axis, in order to
identify patterns in memory or bus activity.
The current version only supports CAN bus however other common memory interfaces will be added in the future.
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/bus-heatmap.png}
\caption{CAN bus activity on a car's OBD port showing the vehicle being started, running for 50 seconds, then shutting down}
\label{filter_busheatmap}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-bus-heatmap.png}
\caption{Example filter graph showing usage of bus heatmap filter on an imported CAN bus capture}
\label{filter_graph_busheatmap}
\end{figure}
\FloatBarrier
\subsection{Parameters}
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Parameter name} & \textbf{Type} & \textbf{Description} \\
\thickhline
Max Address & Integer & Maximum address to display in the plot \\
\thinhline
X Bin Size & Integer & Width of each pixel in the X axis (timebase units) \\
\thinhline
Y Bin Size & Integer & Number of addresses to merge into each pixel in the Y axis \\
\thickhline
\end{tabularx}
\subsection{Output Signal}
This filter outputs a 2D density plot that is (max address) / (y bin size) pixels high and (memory depth) / (x bin
size) pixels wide, spanning the entire duration of the input and the full address range requested.
All packets within the input waveform have the start time and address rounded to the closest bin in X and Y. The
corresponding pixel in the integration buffer is incremented, then the final waveform is normalized to cover the full
range of the selected color ramp.
\begin{tabularx}{16cm}{llX}
\thickhline
\textbf{Signal name} & \textbf{Type} & \textbf{Description} \\
\thickhline
data & Density map & Calculated heatmap \\
\thickhline
\end{tabularx}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\pagebreak
\section{CAN}
\label{filter:can}
Decodes the Control Area Network (CAN) bus, commonly used in vehicle control systems. Both standard (11 bit) and
extended (29 bit) IDs are supported.
CAN-FD frames are detected and flagged as such, but the current decode cannot parse them fully. Full support is planned
(\issue{scopehal}{334}).
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/can.png}
\caption{Example of decoding a single extended-format frame with 3 bytes of data}
\label{filter_can}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/graph-can.png}
\caption{Example filter graph showing usage of CAN bus decode}
\label{filter_graph_can}
\end{figure}
\begin{figure}[h]
\centering
\bigimage{ng-images/filters/packet-can.png}