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SAMPLING DAN ALIASING

SAMPLING DAN ALIASING. Meet 9 Fitri Amillia , S.T., M.T. Sampling. Sampling adalah proses pengambilan sampel-sampel sinyal analog pada titik tertentu secara teratur dan berurutan . S inyal analog disampel , akan didapatkan bentuk sinyal waktu diskrit .

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SAMPLING DAN ALIASING

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  1. SAMPLING DAN ALIASING Meet 9 FitriAmillia, S.T., M.T.

  2. Sampling • Sampling adalahprosespengambilansampel-sampelsinyal analog padatitiktertentusecarateraturdanberurutan. • Sinyalanalog disampel, akandidapatkanbentuksinyalwaktudiskrit. • Untukmendapatkansinyalwaktudiskrit yang mampumewakilisifatsinyalaslinya, proses sampling harusmemenuhisyaratNyquist: fs > 2 fi • dimana: fs= frekuensisinyal sampling fi= frekuensisinyalinformasiyangakandisampel

  3. Aliasing • Fenomena aliasing proses sampling akanmunculpadasinyalhasil sampling apabilaprosesfrekuensisinyal sampling tidakmemenuhi criteria diatas.

  4. Sinyalsinusoidawaktudiskrit • sinyalsinusoidawaktudiskrit yang memilikibentukpersamaanmatematikasepertiberikut: x(n) = A sin(ωn +θ) dimana: A = amplitudosinyal ω = frekuensisudut θ = faseawalsinyal • Frekuensidalamsinyalwaktudiskritmemilikisatuan radian per indek sample, danmemilikiekuivalensidengan 2πf.

  5. Program %Program PengamatanPengaruhPemilihanFrekuensi Sampling Secara Visual clear all; clc; Fs=8;%frekuensi sampling t=(0:Fs-1)/Fs;%proses normalisasi s1=sin(2*pi*t*2); subplot(211) stem(t,s1) axis([0 1 -1.2 1.2]) Fs=16;%frekuensi sampling t=(0:Fs-1)/Fs;%proses normalisasi s2=sin(2*pi*t*2); subplot(212) stem(t,s2) axis([0 1 -1.2 1.2])

  6. figure

  7. Program %Program PengamatanPengaruhPemilihanFrekuensi Sampling padaEfek Audio %coba anda rubah nilai f = 200, 300, 400, 500, 600, 700, 800, dan 900 clear all; clc; Fs=1000; t=0:1/Fs:0.25; f=400; x=sin(2*pi*f*t); sound(x,Fs)

  8. Progam %Program PengamatanEfek Aliasing pada Audio 1 % Lagugundul.m % ubahpadanilaifrekuensi sampling Fs=16000, % menjadi Fs =10000, 8000, 2000, 1000, 900, 800, 700, 600, dan 500. clear all; clc; Fs=16000; t=0:1/Fs:0.25; c=sin(2*pi*262*t); d=sin(2*pi*294*t); e=sin(2*pi*330*t); f=sin(2*pi*249*t); g=sin(2*pi*392*t); a=sin(2*pi*440*t); b=sin(2*pi*494*t); c1=sin(2*pi*523*t); nol = [zeros(size(t))]; nada1 = [c,e,c,e,f,g,g,nol,b,c1,b,c1,b,g,nol,nol]; nada2 = [c,e,c,e,f,g,g,nol,b,c1,b,c1,b,g,nol]; nada3 = [c,nol,e,nol,g,nol,f,f,g,f,e,c,f,e,c,nol]; nada4 = [c,nol,e,nol,g,nol,f,f,g,f,e,c,f,e,c]; lagu=[nada1,nada2,nada3,nada4]; sound(lagu,Fs)

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