Catálogo de la biblioteca Antonio Monteiro - INMABB

1. COMPLEX VARIABLES AND PHASORS [1]
1.1 The real and complex number system[1]
1.2 The complex plane [7]
1.3 The vector representation of complex numbers [13]
1.4 Phasors [17]
1.5 Applications: The amplitude and Phase pattern of an array [21]
1.6 Taylor series [30]
1.7 Laurent series [40]
2. DIGITAL SIGNALS AND SYSTEMS [49]
2.1 Finite differences [49]
2.2 Difference equations [58]
2.3 Digital signals [66]
2.4 Classification of digital systems [81]
2.5 Impulse response and convolution [89]
3. THE TRANSFER FUNCTION [99]
3.1 Causal filters and Taylor series [99]
3.2 Noncausal filters and Laurent series [121]
3.3 The Laplace z-transform and the engineering z-transform [124]
3.4 Properties of the Laplace z-transform [133]
3.5 The inverse Laplace z-transform [144]
3.6 Invertibility and minimum-delay [153]
3.7 Recursive (ARMA) systems [153]
4. THE FOURIER TRANSFORM OF DIGITAL SIGNALS [170]
4.1 Frequency domain representation of digital signals and systems [170]
4.2 Fourier transform of discrete-time signals [183]
4.3 Specialization of the Fourier transform to the case of real sequences [197]
4.4 Minimum-delay and minimum-phase-lag [201]
4.5 All-pass systems [210]
4.6 The finite Fourier transform [217]
4.7 The fast Fourier transform, an algorithm for the computation of the finite Fourier transform [224]
4.8 Development of the fast Fourier transform [22]
5. THE RELATIONSHIP BETWEEN ANALOG AND DIGITAL SYSTEMS [232]
5.1 Mathematical description of the uniform-rate sampling process [232]
5.2 The sampling theorem [239]
6. DESIGN OF DIGITAL FILTERS [244]
6.1 Design of moving average (MA) filters [244]
6.2 Design of recursive (ARMA) filters [259]
6.3 Least-squares design of moving average (MA) filters [268]
7. THE KEPSTRUM [276]
7.1 Even-odd and real-imaginary relationships for causal systems [276]
7.2 Relationship between gain and phase-lag [283]
7.3 The kepstrum [292]
7.4 Removal of an echo [298]
8. RANDOM PROCESSES [300]
8.1 Stationary random processes [300]
8.2 Signal enhancement and prediction [308]
8.3 Spectral factorization [314]
9. SPECTRAL ESTIMATION [316]
9.1 Harmonic analysis [316]
9.2 The periodogram [318]
9.3 Specialization for real-valued signals [319]
9.4 White noise sample [322]
9.5 The Gaussian and chi-square distributions [324]
9.6 Distribution of the periodogram for a white Gaussian process [326]
9.7 Distribution of the periodogram for a Gaussian process [329]
9.8 An example of spectral estimation by transforming the autocorrelation [333]
10. SEISMIC DECONVOLUTION [336]
10.1 Exploration for oil and natural gas [336]
10.2 Sedimentary model of the earth's crust [342]
10.3 Random reflection model [354]
11. SPEECH DECONVOLUTION [358]
11.1 Speech production [358]
11.2 Acoustic tube model [360]
APPENDIX A [363]
BIBLIOGRAPHY [367]
ANSWERS TO PROBLEMS [369]
SUBJECT INDEX [406]

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