000 02229nam a2200253Ia 4500
003 NULRC
005 20250520100600.0
008 250520s9999 xx 000 0 und d
020 _a9781111426026
040 _cNULRC
050 _aQA 297 .S35 2012
100 _aSchilling, Robert J.
_eauthor
245 0 _aIntroduction to digital signal processing using MATLAB /
_cRobert J. Schilling and Sandra L. Harris.
250 _a2nd edition. | International edition.
260 _a[Singapore] :
_bCengage Learning Asia Pte Ltd,
_cc2012
300 _axviii, 766 pages :
_billustrations ;
_c26 cm.
365 _bPHP7240
504 _aIncludes bibliographical references and index.
505 _aPart 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.
520 _aThis 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.
650 _aMATLAB
700 _aSandra L. Harris.
_eco-author
942 _2lcc
_cBK
999 _c8591
_d8591