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Elements of Signal Theory
Discretization and Quantization of Signals
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according additive algorithms applied approach average basis calculation called changes characteristics coding coefficients components considered constructed continuous convenient coordinates correction correlation corresponding defined depends derived described determined devices difference direct discrete distortion distribution effect elements equal error estimator example extraction factorized filter Fourier transform fragment frequency functions given Haar histogram imaging impulse response initial interpolation interval inverse known levels limited linear matrix means measured methods modes multiplications noise object observed obtain operator optimal periodic photograph picture possible preparation presented problem processing processors properties quantization random relation representation represented restoration result samples separate sequence shown shows signal values smoothing space spatial spectra spectrum statistical Table takes theorem tion transfer function two-dimensional usually values various vector video signal Walsh zero