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Clean up LinearDigitalFilter class (#782)
* Renamed LinearDigitalFilter to LinearFilter * Filter base class removed since it wasn't useful * C++: std::shared_ptr<> replaced with double parameter
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committed by
Peter Johnson
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311e2de4c1
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30e936837c
140
wpilibc/src/main/native/include/frc/LinearFilter.h
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140
wpilibc/src/main/native/include/frc/LinearFilter.h
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) 2015-2019 FIRST. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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/*----------------------------------------------------------------------------*/
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#pragma once
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#include <vector>
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#include <wpi/ArrayRef.h>
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#include "frc/circular_buffer.h"
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namespace frc {
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/**
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* This class implements a linear, digital filter. All types of FIR and IIR
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* filters are supported. Static factory methods are provided to create commonly
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* used types of filters.
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*
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* Filters are of the form:<br>
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* y[n] = (b0 * x[n] + b1 * x[n-1] + … + bP * x[n-P]) -
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* (a0 * y[n-1] + a2 * y[n-2] + … + aQ * y[n-Q])
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*
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* Where:<br>
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* y[n] is the output at time "n"<br>
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* x[n] is the input at time "n"<br>
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* y[n-1] is the output from the LAST time step ("n-1")<br>
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* x[n-1] is the input from the LAST time step ("n-1")<br>
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* b0 … bP are the "feedforward" (FIR) gains<br>
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* a0 … aQ are the "feedback" (IIR) gains<br>
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* IMPORTANT! Note the "-" sign in front of the feedback term! This is a common
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* convention in signal processing.
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*
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* What can linear filters do? Basically, they can filter, or diminish, the
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* effects of undesirable input frequencies. High frequencies, or rapid changes,
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* can be indicative of sensor noise or be otherwise undesirable. A "low pass"
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* filter smooths out the signal, reducing the impact of these high frequency
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* components. Likewise, a "high pass" filter gets rid of slow-moving signal
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* components, letting you detect large changes more easily.
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*
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* Example FRC applications of filters:
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* - Getting rid of noise from an analog sensor input (note: the roboRIO's FPGA
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* can do this faster in hardware)
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* - Smoothing out joystick input to prevent the wheels from slipping or the
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* robot from tipping
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* - Smoothing motor commands so that unnecessary strain isn't put on
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* electrical or mechanical components
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* - If you use clever gains, you can make a PID controller out of this class!
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*
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* For more on filters, we highly recommend the following articles:<br>
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* https://en.wikipedia.org/wiki/Linear_filter<br>
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* https://en.wikipedia.org/wiki/Iir_filter<br>
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* https://en.wikipedia.org/wiki/Fir_filter<br>
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*
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* Note 1: Calculate() should be called by the user on a known, regular period.
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* You can use a Notifier for this or do it "inline" with code in a
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* periodic function.
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*
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* Note 2: For ALL filters, gains are necessarily a function of frequency. If
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* you make a filter that works well for you at, say, 100Hz, you will most
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* definitely need to adjust the gains if you then want to run it at 200Hz!
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* Combining this with Note 1 - the impetus is on YOU as a developer to make
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* sure Calculate() gets called at the desired, constant frequency!
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*/
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class LinearFilter {
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public:
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/**
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* Create a linear FIR or IIR filter.
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*
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* @param ffGains The "feed forward" or FIR gains.
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* @param fbGains The "feed back" or IIR gains.
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*/
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LinearFilter(wpi::ArrayRef<double> ffGains, wpi::ArrayRef<double> fbGains);
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LinearFilter(LinearFilter&&) = default;
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LinearFilter& operator=(LinearFilter&&) = default;
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// Static methods to create commonly used filters
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/**
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* Creates a one-pole IIR low-pass filter of the form:<br>
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* y[n] = (1 - gain) * x[n] + gain * y[n-1]<br>
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* where gain = e<sup>-dt / T</sup>, T is the time constant in seconds
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*
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* This filter is stable for time constants greater than zero.
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*
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* @param timeConstant The discrete-time time constant in seconds.
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* @param period The period in seconds between samples taken by the
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* user.
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*/
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static LinearFilter SinglePoleIIR(double timeConstant, double period);
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/**
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* Creates a first-order high-pass filter of the form:<br>
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* y[n] = gain * x[n] + (-gain) * x[n-1] + gain * y[n-1]<br>
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* where gain = e<sup>-dt / T</sup>, T is the time constant in seconds
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*
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* This filter is stable for time constants greater than zero.
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*
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* @param timeConstant The discrete-time time constant in seconds.
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* @param period The period in seconds between samples taken by the
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* user.
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*/
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static LinearFilter HighPass(double timeConstant, double period);
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/**
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* Creates a K-tap FIR moving average filter of the form:<br>
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* y[n] = 1/k * (x[k] + x[k-1] + … + x[0])
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*
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* This filter is always stable.
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*
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* @param taps The number of samples to average over. Higher = smoother but
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* slower
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*/
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static LinearFilter MovingAverage(int taps);
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/**
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* Reset the filter state.
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*/
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void Reset();
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/**
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* Calculates the next value of the filter.
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*
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* @param input Current input value.
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*
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* @return The filtered value at this step
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*/
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double Calculate(double input);
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private:
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circular_buffer<double> m_inputs{0};
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circular_buffer<double> m_outputs{0};
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std::vector<double> m_inputGains;
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std::vector<double> m_outputGains;
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};
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} // namespace frc
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@@ -1,5 +1,5 @@
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) 2008-2018 FIRST. All Rights Reserved. */
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/* Copyright (c) 2008-2019 FIRST. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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@@ -14,11 +14,11 @@
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#include <wpi/mutex.h>
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#include "frc/Base.h"
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#include "frc/LinearFilter.h"
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#include "frc/PIDInterface.h"
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#include "frc/PIDOutput.h"
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#include "frc/PIDSource.h"
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#include "frc/Timer.h"
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#include "frc/filters/LinearDigitalFilter.h"
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#include "frc/smartdashboard/SendableBase.h"
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namespace frc {
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@@ -215,7 +215,7 @@ class PIDBase : public SendableBase, public PIDInterface, public PIDOutput {
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*
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* @return the average error
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*/
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WPI_DEPRECATED("Use a LinearDigitalFilter as the input and GetError().")
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WPI_DEPRECATED("Use a LinearFilter as the input and GetError().")
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virtual double GetAvgError() const;
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/**
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@@ -397,8 +397,7 @@ class PIDBase : public SendableBase, public PIDInterface, public PIDOutput {
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double m_error = 0;
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double m_result = 0;
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std::shared_ptr<PIDSource> m_origSource;
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LinearDigitalFilter m_filter{nullptr, {}, {}};
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LinearFilter m_filter{{}, {}};
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};
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} // namespace frc
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@@ -1,5 +1,5 @@
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) 2008-2018 FIRST. All Rights Reserved. */
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/* Copyright (c) 2008-2019 FIRST. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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@@ -19,7 +19,6 @@
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#include "frc/PIDBase.h"
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#include "frc/PIDSource.h"
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#include "frc/Timer.h"
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#include "frc/filters/LinearDigitalFilter.h"
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namespace frc {
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@@ -1,5 +1,5 @@
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/*----------------------------------------------------------------------------*/
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/* Copyright (c) 2015-2018 FIRST. All Rights Reserved. */
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/* Copyright (c) 2015-2019 FIRST. All Rights Reserved. */
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/* Open Source Software - may be modified and shared by FRC teams. The code */
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/* must be accompanied by the FIRST BSD license file in the root directory of */
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/* the project. */
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@@ -11,6 +11,7 @@
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#include <vector>
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#include <wpi/ArrayRef.h>
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#include <wpi/deprecated.h>
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#include "frc/circular_buffer.h"
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#include "frc/filters/Filter.h"
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@@ -76,6 +77,7 @@ class LinearDigitalFilter : public Filter {
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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WPI_DEPRECATED("Use LinearFilter class instead.")
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LinearDigitalFilter(PIDSource& source, wpi::ArrayRef<double> ffGains,
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wpi::ArrayRef<double> fbGains);
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@@ -86,6 +88,7 @@ class LinearDigitalFilter : public Filter {
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* @param ffGains The "feed forward" or FIR gains
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* @param fbGains The "feed back" or IIR gains
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*/
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WPI_DEPRECATED("Use LinearFilter class instead.")
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LinearDigitalFilter(std::shared_ptr<PIDSource> source,
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wpi::ArrayRef<double> ffGains,
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wpi::ArrayRef<double> fbGains);
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