Real time FIR filter drop-in classes and units for C, C++ and Python. Includes lowpass, highpass, bandpass and bandstop filters. The implementation aims to be lean, yet flexible and easy to understand, providing high performance with a small footprint suitable for embedded systems such as beaglebone, raspberry pi or even arduino.
#include "rtfir.hpp"
#include <stdlib.h>
int main(){
double samplerate=500; // Fs in Hz
double cutoff=100; // Fc in Hz
int taps=100; // FIR taps
RTFIR_lowpass lowpass=RTFIR_lowpass(taps,cutoff/samplerate);
double filtered[1000];
for(int i=0;i<1000;i++){
filtered[i]=lowpass.Filter(rand()%100);
}
return 0;
}
#include "rtfir.h"
#include <stdlib.h>
int main(){
double samplerate=500; // Fs in Hz
double cutoff=100; // Fc in Hz
int taps=100; // FIR taps
RTFIR lowpass;
RTFIR_init_lowpass(&lowpass,taps,cutoff/samplerate);
double filtered[1000];
for(int i=0;i<1000;i++){
filtered[i]=RTFIR_filter(&lowpass,rand()%100);
}
RTFIR_close(&lowpass);
return 0;
}
For python we have to compile the c++ library first:
make
This will generate the python module (rtfir.py) and a shared library (_rtfir.so), allowing you to use the module in the current folder. Optionally you can choose to install the module to your system:
make install
Once you have compiled and/or installed the module you can proceed to use it:
import random,rtfir
samplerate=500 # Fs in Hz
cutoff=100 # Fc in Hz
taps=100 # FIR taps
lowpass=rtfir.RTFIR_lowpass(taps,cutoff/samplerate)
filtered=[]
for i in range(0,1000):
filtered.append(lowpass.Filter(random.random()))
For a more comprehensive example, including other filter types, check out example.py which synthesizes a frequency sweep, filters it through the available filter types and plots the resulting fft's so you can assess it's performance. Use the --help parameter for further information on the script's usage.
make
./example.py --samplerate 250 --taps 256
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