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system and signals course - discrete LTI system convolution with matlab

Birim dürtü yanıtı n = 1:100; // unit impulse response h = 0.08*(0.9).^n; ///lti signal system as the system  olarak verilen doğrusal…

NeoSapiens · 2022-08-02 22:22 · 3 claps · 1.4 min read
#signals-and-systems #signal-processing #convolution #gebze-teknik-üniversitesi #mehmetköse
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System and Signals - Discrete LTI System Convolution with Matlab

Birim dürtü yanıtı n = 1:100; // unit impulse response h = 0.08*(0.9).^n; ///lti signal system as the system olarak verilen doğrusal zamanla değişmeyen sistemi göz önüne alalım

a) Birim dürtü yanıtı h’yi MATLAB’de çizdiriniz. //draw unit i. response Ayrık zamanlı işareti çizdirirken plot yerine stem komutunu kullanınız. // while drawing discrete time signal, use “ stem ”instead of “ plot ” b) Bu sisteme x=[zeros(1,100) ones(1,100) zeros(1,100) ones(1,100) ones(1,100)]; işareti giriş olarak uygulanıyor. x işaretini MATLAB’de çizdiriniz. // x is the output signal when the input signal apply c) Sistemin çıkışını bulmak için ayrık zamanlı konvolusyon işlemi gerçekleştiren bir MATLAB kodunu for döngüsü kullanarak yazınız.

The outputs

output signal convolution of lti system

output signal convolution of lti system

unit impulse response is h[n]. n between 0 to 500.

unit impulse response is h[n]. n between 0 to 500.

input signal x[n] n = [0,100]

input signal x[n] n = [0,100]

workspace after code is run

workspace after code is run

matlab codes… clear all i = 0:100; h = 0.08(0.5).^i; x = [ zeros(1,100) ones(1,100) zeros(1,100) ones(1,100) ones(1,100)]; y = [ zeros(1,600)]; for n=1:600 toplamx=0; for k=1:100 if ( (n-k > 0) & ( n-k < 500) ) toplamx = toplamx + h(k)x(n-k); end end y(n)=toplamx; end figure(1); stem(y); grid on title(“ y[n] “) figure(2); stem(x); grid on title(“ h[n] “) figure(3); stem(h); grid on title(“ x[n] “)

Gebze Technical University — Electronics Eng.

Mehmet KÖSE


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