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Digital signal processing using MATLAB /
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are pro...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés Francés |
| Publicado: |
Hoboken, NJ : London :
Wiley ; ISTE,
2008.
|
| Edición: | 2nd ed. |
| Colección: | Digital signal and image processing series.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 020 | |a 9781848210110 | ||
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| 020 | |z 9781848210110 | ||
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| 050 | 4 | |a TK5102.9 |b .D545835 2008 | |
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| 049 | |a UAMI | ||
| 130 | 0 | |a Traitement du signal sous MATLAB. |l English. | |
| 245 | 1 | 0 | |a Digital signal processing using MATLAB / |c André Quinquis [editor]. |
| 250 | |a 2nd ed. | ||
| 260 | |a Hoboken, NJ : |b Wiley ; |a London : |b ISTE, |c 2008. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Digital signal and image processing series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Digital Signal Processing using MATLAB®; Table of Contents; Preface; Chapter 1. Introduction; 1.1. Brief introduction to MATLAB; 1.1.1. MATLAB software presentation; 1.1.2. Important MATLAB commands and functions; 1.1.3. Operating modes and programming with MATLAB; 1.1.4. Example of work session with MATLAB; 1.1.5. MATLAB language; 1.2. Solved exercises; Chapter 2. Discrete-Time Signals; 2.1. Theoretical background; 2.1.1. Mathematical model of 1D and 2D discrete-time signals; 2.1.2. Basic 1D and 2D discrete-time signals | |
| 505 | 8 | |a 2.1.3. Periodic 1D and 2D discrete-time signals representation using the discrete-time Fourier series2.1.4. Representation of non-periodic 1D and 2D discrete-time signals by discrete-time Fourier transform; 2.1.5. Analytic signals; 2.2. Solved exercises; 2.3. Exercises; Chapter 3. Discrete-Time Random Signals; 3.1. Theoretical background; 3.1.1. Introduction; 3.1.2. Real random variables; 3.1.3. Random processes; 3.2. Solved exercises; 3.3. Exercises; Chapter 4. Statistical Tests and High Order Moments; 4.1. Theoretical background; 4.1.1. Moments; 4.1.2. Cumulants; 4.1.3. Cumulant properties | |
| 505 | 8 | |a 4.1.4. Chi-square (Chi2) tests4.1.5. Normality test using the Henry line; 4.2. Solved exercises; 4.3. Exercises; Chapter 5. Discrete Fourier Transform of Discrete-Time Signals; 5.1. Theoretical background; 5.1.1. Discrete Fourier transform of 1D digital signals; 5.1.2. DFT of 2D digital signals; 5.1.3. Z-transform of 1D digital signals; 5.1.4. Z-transform of 2D digital signals; 5.1.5. Methods and algorithms for the DFT calculation; 5.2. Solved exercises; 5.3. Exercises; Chapter 6. Linear and Invariant Discrete-Time Systems; 6.1. Theoretical background; 6.1.1. LTI response calculation | |
| 505 | 8 | |a 6.1.2. LTI response to basic signals6.2. Solved exercises; 6.3. Exercises; Chapter 7. Infinite Impulse Response Filters; 7.1. Theoretical background; 7.1.1. Transfer function and filter specifications for infinite impulse response (IIR) filters; 7.1.2. Design methods for IIR filters; 7.1.3. Frequency transformations; 7.2. Solved exercises; 7.3. Exercises; Chapter 8. Finite Impulse Response Filters; 8.1. Theoretical background; 8.1.1. Transfer function and properties of FIR filters; 8.1.2. Design methods; 8.1.3. General conclusion about digital filter design; 8.2. Solved exercises | |
| 505 | 8 | |a 8.3. ExercisesChapter 9. Detection and Estimation; 9.1. Theoretical background; 9.1.1. Matched filtering: optimal detection of a known noisy signal; 9.1.2. Linear optimal estimates; 9.1.3. Least squares (LS) method; 9.1.4. LS method with forgetting factor; 9.2. Solved exercises; 9.3. Exercises; Chapter 10. Power Spectrum Density Estimation; 10.1. Theoretical background; 10.1.1. Estimate properties; 10.1.2. Power spectral density estimation; 10.1.3. Parametric spectral analysis; 10.1.4. Superresolution spectral analysis methods; 10.1.5. Other spectral analysis methods; 10.2. Solved exercises | |
| 520 | |a This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a MATLAB. |
| 630 | 0 | 7 | |a MATLAB. |2 blmlsh |
| 630 | 0 | 7 | |a MATLAB |2 fast |
| 650 | 0 | |a Signal processing |x Digital techniques. | |
| 650 | 6 | |a Traitement du signal |x Techniques numériques. | |
| 650 | 7 | |a Signal processing |x Digital techniques |2 fast | |
| 700 | 1 | |a Quinquis, André. | |
| 776 | 0 | 8 | |i Print version: |t Digital signal processing using MATLAB. |d London : ISTE ; Hoboken, NJ : Wiley, 2008 |z 9781848210110 |w (DLC) 2007043209 |w (OCoLC)175286418 |
| 830 | 0 | |a Digital signal and image processing series. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781848210110/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||