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_a9781111427375 (paperbaack)
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_a(OCoLC)ocn700516252;(IMchF)fol14541163
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_a621.3822 In4d 2012
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_aIngle, Vinay K.
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_aDigital signal processing using MATLAB /
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_cVinay K. Ingle, John G. Proakis.
_h6
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_aThird edition.
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_aAustralia :
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_bCengage Learning,
_c©2012;copyright 2012.46
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_c23 cm.
_axv, 652 pages :
_billustrations
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336 _b
_atext
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_aunmediated
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_aIncludes bibliographical references (p. 635-636) and index.
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_a1. Introduction 2. Discrete-time signals and systems 3. Discrete-time Fourier analysis 4. z-Transform 5. Discrete Fourier transform 6. Implementation of discrete-time filters 7. FIR filter design 8. IIR filter design 9. Sampling rate conversion 10. Round-off effects in digital filters 11. Applications in adaptive filtering 12. Applications in communications.
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_aIn this supplementary text, MATLAB® is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.--publisher.
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_aMATLAB.
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_xDigital techniques;Mathematics.
_aSignal processing
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