Digital Signal and Image Processing Using MATLABThis title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. |
Contents
Preface | 15 |
Introduction to MATLAB | 23 |
Operations and functions | 29 |
Copyright | |
29 other sections not shown
Common terms and phrases
a₁ algorithm aliasing amplitude assume axis image band bilinear transform bits block calculation called causal coding coefficients colormap cmap complex gain Consider continuous-time convolution corresponding covariance matrix defined derivative filter determine discrete-time DTFT equal estimate example Exercise expression Figure finite finite impulse response FIR filter following program Fourier transform Gaussian Go(z grid H₂(z Hence hermitian symmetry imagesc impulse response input inverse leads length Lfft linear filter low-pass filter MATLAB method minimum phase modulation nlig obtained operation output oversampling parameters perform periodogram phase pixc pixels pixr points poles polynomial quantization random process random variable reconstruction recursive equation result sampling frequency sequence set gca signal x(t sine solution spectrum subplot 212 SYNOPSIS theorem Toeplitz matrix transfer function undersampling unit circle values variance vector Write a program xlim Ycolor z-transform zeros