Digital Communication Systems |
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26 pages matching sampling theorem in this book
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amplitude analog applies ASK system assumed average bandlimited bandwidth baseband binary digits bit error probability bit interval carrier codeword coherent Communications cos(wot D-SM decision decoding defined delta modulation demodulator denoted density spectrum DPCM duration E₁ E₂ energy erfc example Figure Find format Fourier transform frequency Gaussian given input integrator intersymbol interference lowpass filter M-ary m₁ m₂ matched filter multiplexer noise power noncoherent Nyquist rate occur optimum receiver OQPSK orthogonal output P₁ P₂ performance phase power density power spectrum Prob probability density pulse train Px(x QPSK quantizer random variable response s₁(t sample rate sampled signal sampling pulse sampling theorem sequence shown in Fig signal f(t signal set signal vectors slope overload spectral symbol interval transfer function transmitted unipolar V₁ values w₁ waveform white noise zero δυ Ть
References to this book
Informationsübertragung: Grundlagen der Kommunikationstechnik Jürgen Lindner No preview available - 2004 |