CxEquiRpl_BPFiltering

Advanced Analysis Library Only

AnalysisLibErrType CxEquiRpl_BPFiltering (NIComplexNumber inputArray[], ssize_t numberOfElements, int numberOfCoeffs, double samplingFrequency, double f1, double f2, double f3, double f4, NIComplexNumber outputArray[]);

Purpose

Filter the complex array using a optimal bandpass FIR linear phase filter with equi-ripple characteristics.

Example Code

/* Design a 51-point bandpass FIR filter and filter the complex incoming signal. */
complexnum x[256], y[306]; double input[256]; double fs, f1, f2, f3, f4; int n, ncoef, i; fs = 1000.0; // sampling frequency f1 = 200.0; // first stop band [0, 200] f2 = 250.0; // pass band [250, 350] f3 = 350.0; f4 = 400.0; // second stop band [400, fs/2] n = 256; // input signal length ncoef = 51; //filter length WhiteNoise (n, 1, 17, input); for(i = 0; i < n; i++){ x[i].real = input[i]; x[i].imaginary = input[i]; } CxEquiRpl_BPFiltering(x, n, ncoef, fs, f1, f2, f3, f4, y);

Parameters

Input
Name	Type	Description
inputArray	NIComplexNumber []	Array containing the raw data to filter.
numberOfElements	ssize_t	Number of elements in the input array inputArray.
numberOfCoeffs	int	Length of the FIR filter. numberOfCoeffs must be greater than 2.
samplingFrequency	double	Sampling frequency in Hertz.
highestStopFreq	double	Highest frequency of the lower stop band. The lower stop band is [0, f1].
f2	double	Lowest frequency of the pass band. The pass band is [f2, f3].
f3	double	Highest frequency of the pass band. The pass band is [f2, f3].
f4	double	Lowest frequency of the upper stop band. The upper stop band is [f4, samplingFreq/2].
Output
Name	Type	Description
outputArray	NIComplexNumber []	Filtered data. This array must be at least elements long.

Return Value

Additional Information

Library: Advanced Analysis Library

Include file: analysis.h

LabWindows/CVI compatibility: LabWindows/CVI 2012 and later