Thursday, April 23, 2026

High pass FIR filter implementation and High pass IIR filter implementation

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Rajeshwari Chiluveru
Rajeshwari Chiluveruhttps://www.webvidyalayam.com/
Rajeshwari is a Smart TV and connectivity specialist with over 7 years of hands-on experience in troubleshooting real-world device issues. She has worked extensively on diagnosing problems such as WiFi not working, HDMI ARC/eARC failures, app errors, and connectivity issues across platforms like Samsung, Hisense, and Android TV. At Web Vidyalayam, she focuses on creating verified, step-by-step solutions based on practical testing rather than theory. Her goal is to simplify complex technical problems and help users fix their devices quickly and confidently.

Steps involved in performing FIR filter operation

Step I: Let’s enter the pass band frequency (fp) and stop band frequency (fq).

Step II: And then get the sampling frequency (fs), length of window (n).

Step III: Next calculate cut off frequency.

Step IV: Use the boxcar, hamming, Blackman Commands for designing window.

Step V: And then design filter by using above parameters.

Step VI: To find frequency response of the filter by using matlab command freqz.

Step VII: Then plot the magnitude response and phase response of the filter.

Program:

clc;

clear all;

close all;

n=20;

fp=300;

fq=200;

fs=1000;

fn=2*fp/fs;

window=blackman(n+1);

b=fir1(n,fn,’high’,window);

[H W]=freqz(b,1,128);

subplot(2,1,1);

plot(W/pi,abs(H));

title(‘mag res of lpf’);

ylabel(‘gain in db——–>’);

xlabel(‘normalized frequency——>’);

subplot(2,1,2);

plot(W/pi,angle(H));

title(‘phase res of lpf’);

ylabel(‘angle——–>’);

xlabel(‘normalized frequency——>’);

Steps involved in performing IIR filter operation

Step I: Now enter the pass band ripple (rp) and stop band ripple (rs).

Step II: while the pass band frequency (wp) and stop band frequency (ws).

Step III: Then Get the sampling frequency (fs).

Step IV: Then calculate the normalized pass band frequency, and normalized stop band frequency w1 and w2 respectively.

Step V : Make using the following function for calculating the Butterworth filter order [n,wn]=buttord(w1,w2,rp,rs ) and Chebyshev filter order [n,wn]=cheb1ord(w1,w2,rp,rs)

 Step VI: Let’s design the nth order digital high pass Chebyshev or Butterworth filter using the following commands. Butterworth filter [b,a]=butter (n, wn,’high’) Chebyshev filter [b,a]=cheby1 (n, 0.5, wn,’high’)

Step VII: In order to find the digital frequency response of the filter by using ‘freqz ( )’ function

Step VIII: Then calculate the magnitude for the frequency response in decibels (dB) mag=20*log10 (abs (H))

Step IX: Then plot the magnitude response [magnitude in dB Vs normalized frequency]

Step X: Next calculate the phase response using angle (H).

Step XI: Then plot the phase response [phase in radians Vs normalized frequency (Hz)].

Program:

clc;

clear all;

close all;

disp(‘enter the IIR filter design specifications’);

rp=input(‘enter the passband ripple’);

rs=input(‘enter the stopband ripple’);

wp=input(‘enter the passband freq’);

ws=input(‘enter the stopband freq’);

fs=input(‘enter the sampling freq’);

w1=2*wp/fs;w2=2*ws/fs;

[n,wn]=buttord(w1,w2,rp,rs,’s’);

disp(‘Frequency response of IIR HPF is:’);

[b,a]=butter(n,wn,’high’,’s’);

w=0:.01:pi;

[h,om]=freqs(b,a,w);

m=20*log10(abs(h));

an=angle(h);

figure, subplot(2,1,1);plot(om/pi,m);

title(‘magnitude response of IIR filter is:’);

xlabel(‘(a) Normalized freq. –>’);

ylabel(‘Gain in dB–>’);

subplot(2,1,2);plot(om/pi,an);

title(‘phase response of IIR filter is:’);

xlabel(‘(b) Normalized freq. –>’);

ylabel(‘Phase in radians–>’);

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