Introduction to digital signal processing using MATLAB / Robert J. Schilling and Sandra L. Harris.
Material type:
- 9781111426026
- QA 297 .S35 2012

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main General Circulation | Gen. Ed. - COE | GC QA 297 .S35 2012 c.2 (Browse shelf(Opens below)) | c.2 | Available | NULIB000006380 |
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GC QA 297 .G54 2011 Numerical methods : an introduction with applications using Matlab / | GC QA 297 .P35 2008 A Concise Introduction to Matlab / | GC QA 297 .S35 2012 c.1 Introduction to digital signal processing using MATLAB / | GC QA 297 .S35 2012 c.2 Introduction to digital signal processing using MATLAB / | GC QA 303 .G62 1998 Calculus and its applications / | GC QA 303 .L428 2002 The Calculus 7 / | GC QA 303 .M36 2021 c.1 Essential calculus skills practice workbook with full solutions / |
Includes bibliographical references and index.
Part I: Signal and system analysis -- 1. Signal processing -- 2. Discrete-time systems in the time domain -- 3. Discrete-time systems in the frequency domain -- 4. Fourier transforms and spectral analysis -- Part II: Digital filter design -- 5. Filter design specifications -- 6. FIR filter design -- 7. IIR filter design -- Part III: Advanced signal processing -- 8. Multirate signal processing -- 9. Adaptive signal processing -- Appendix 1. Transform tables -- Appendix 2. Mathematical identities -- Appendix 3. FDSP toolbox functions.
This second edition text focuses on the fundamentals of digital signal processing with an emphasis on practical applications. In order to motivate students, many of the examples illustrate the processing of speech and music. This theme is also a focus of the course software that features facilities for recording and playing sound on a standard PC. The accompanying website contains a comprehensive MATLAB software package called the Fundamentals of Digital Signal Processing (FDSP) toolbox version 2.0. The FDSP toolbox includes chapter GUI modules, an extensive library of DSP functions, direct access to all of the computational examples, figures, and tables, solutions to selected problems, and onliine help documentation. Using the interactive GUI modules, students can explore, compare, and directly experience the effects of signal processing techniques without any need for programming.
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