## Digital signal processing and time series analysis / Enders A. Robinson y Manuel T. Silvia

Series Holden-Day series in time series analysis and digital signal processingEditor: San Francisco : Holden-Day, 1978Descripción: 411 p. ; 25 cmOtra clasificación: *CODIGO*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]

Item type | Home library | Shelving location | Call number | Materials specified | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|

Libros | Instituto de Matemática, CONICET-UNS | Últimas adquisiciones | 62 R658d (Browse shelf) | Available | A-9380 |

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]

MR, REVIEW #

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