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PENGOLAHAN SINYAL DIGITAL
Modul 5. Sistem Waktu Diskret dan Aplikasi TZ
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Content Overview Sistem Waktu Diskrit
System Properties (Shift Invariance, Kausalitas, Stabilitas) dikaitkan dengan TZ Transformasi sistem dari persamaan difference ke respon impuls dan sebaliknya Realisasi Sistem dg adder minimal dan delay minimal Mencari Respon Steady State Struktur : kaskade, paralel
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Signal Classification
Periodic and non-periodic signals Analog and discrete signals A non-periodic signal A periodic signal A discrete signal Analog signals
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Sampling Time domain Frequency domain
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modulated (PAM) signal
Sampling theorem Sampling theorem: A bandlimited signal with no spectral components beyond , can be uniquely determined by values sampled at uniform intervals of The sampling rate, is called Nyquist rate. Sampling process Analog signal Pulse amplitude modulated (PAM) signal
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Aliasing Effect LP filter Nyquist rate aliasing
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Modulation, Demodulation and Coding
Quantization Amplitude quantizing: Mapping samples of a continuous amplitude waveform to a finite set of amplitudes. In Out Quantized values Average quantization noise power Signal peak power Signal power to average quantization noise power Lecture 2
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Modulation, Demodulation and Coding
Quantization example amplitude x(t) x(nTs): sampled values xq(nTs): quantized values boundaries Quant. levels Ts: sampling time t PCM codeword PCM sequence Lecture 3
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