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| 019 | _a968749544 | ||
| 020 | _a1305635124 | ||
| 020 | _a9781305635128 | ||
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| 035 | _a(OCoLC)915490324 | ||
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| 100 | 1 |
_aIngle, Vinay K., _eauthor. _0http://id.loc.gov/authorities/names/no92009048 |
|
| 245 | 0 | 0 |
_aDigital signal processing using MATLAB℗ʾ : _ba problem solving companion / _cVinay K. Ingle, John G. Proakis, Northeastern University. |
| 250 | _aFourth edition. | ||
| 264 | 1 |
_aBoston, MA : _bCengage Learning, |
|
| 264 | 1 | _cc2017 | |
| 300 |
_axvii, 613 pages, 23 pages in various pagings : _billustrations ; _c24 cm. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index | ||
| 505 | 0 | _aMachine generated contents note: 1.Introduction -- 1.1.Overview of Digital Signal Processing -- 1.2.A Brief Introduction to MATLAB -- 1.3.Applications of Digital Signal Processing -- 1.4.Brief Overview of the Book -- 2.Discrete-Time Signals And Systems -- 2.1.Discrete-Time Signals -- 2.2.Discrete Systems -- 2.3.Convolution -- 2.4.Difference Equations -- 2.5.Problems -- 3.The Discrete-Time Fourier Analysis -- 3.1.The Discrete-Time Fourier Transform (DTFT) -- 3.2.The Properties of the DTFT -- 3.3.The Frequency Domain Representation of LTI Systems -- 3.4.Sampling and Reconstruction of Analog Signals -- 3.5.Problems -- 4.The z-Transform -- 4.1.The Bilateral z-Transform -- 4.2.Important Properties of the z-Transform -- 4.3.Inversion of the z-Transform -- 4.4.System Representation in the z-Domain -- 4.5.Solutions of the Difference Equations -- 4.6.Problems -- 5.The Discrete Fourier Transform -- 5.1.The Discrete Fourier Series -- 5.2.Sampling and Reconstruction in the z-Domain -- 5.3.The Discrete Fourier Transform -- 5.4.Properties of the Discrete Fourier Transform -- 5.5.Linear Convolution Using the DFT -- 5.6.The Fast Fourier Transform -- 5.7.Problems -- 6.Implementation Of Discrete-Time Filters -- 6.1.Basic Elements -- 6.2.IIR Filter Structures -- 6.3.FIR Filter Structures -- 6.4.Overview of Finite-Precision Numerical Effects -- 6.5.Representation of Numbers -- 6.6.The Process of Quantization and Error Characterizations -- 6.7.Quantization of Filter Coefficients -- 6.8.Problems -- 7.Fir Filter Design -- 7.1.Preliminaries -- 7.2.Properties of Linear-Phase FIR Filters -- 7.3.Window Design Technique -- 7.4.Frequency-Sampling Design Technique -- 7.5.Optimal Equiripple Design Technique -- 7.6.Problems -- 8.IIR Filter Design -- 8.1.Some Preliminaries -- 8.2.Some Special Filter Types -- 8.3.Characteristics of Prototype Analog Filters -- 8.4.Analog-to-Digital Filter Transformations -- 8.5.Lowpass Filter Design Using MATLAB -- 8.6.Frequency-Band Transformations -- 8.7.Problems -- 9.Sampling Rate Conversion -- 9.1.Introduction -- 9.2.Decimation by a Factor D -- 9.3.Interpolation by a Factor I -- 9.4.Sampling Rate Conversion by a Rational Factor I/D -- 9.5.FIR Filter Designs for Sampling Rate Conversion -- 9.6.FIR Filter Structures for Sampling Rate Conversion -- 9.7.Problems -- 10.Round-Off Effects In Digital Filters -- 10.1.Analysis of A/D Quantization Noise -- 10.2.Round-Off Effects in IIR Digital Filters -- 10.3.Round-Off Effects in FIR Digital Filters -- 10.4.Problems -- 11.Applications In Adaptive Filtering -- 11.1.LMS Algorithm for Coefficient Adjustment -- 11.2.System Identification or System Modeling -- 11.3.Suppression of Narrowband Interference in a Wideband Signal -- 11.4.Adaptive Line Enhancement -- 11.5.Adaptive Channel Equalization -- 12.Applications In Communications -- 12.1.Pulse-Code Modulation -- 12.2.Differential PCM (DPCM) -- 12.3.Adaptive PCM and DPCM (ADPCM) -- 12.4.Delta Modulation (DM) -- 12.5.Linear Predictive Coding (LPC) of Speech -- 12.6.Dual-Tone Multifrequency (DTMF) Signals -- 12.7.Binary Digital Communications -- 12.8.Spread-Spectrum Communications -- 13.Random Processes* -- 13.1.Random Variable -- 13.2.A Pair of Random Variables -- 13.3.Random Signals -- 13.4.Power Spectral Density -- 13.5.Stationary Random Processes through LTI Systems -- 13.6.Useful Random Processes -- 13.7.Summary and References -- 14.Linear Prediction and Optimum Linear Filters* -- 14.1.Innovations Representation of a Stationary Random Process -- 14.2.Forward and Backward Linear Prediction -- 14.3.Solution of the Normal Equations -- 14.4.Properties of the Linear Prediction-Error Filters -- 14.5.AR Lattice and ARMA Lattice-Ladder Filters -- 14.6.Wiener Filters for Filtering and Prediction -- 14.7.Summary and References -- 15.Adaptive Filters* -- 15.1.Applications of Adaptive Filters -- 15.2.Adaptive Direct-Form FIR Filters -- 15.3.Summary and References. | |
| 630 | 0 | 0 |
_aMATLAB. _0http://id.loc.gov/authorities/names/n92036881 |
| 650 | 1 | 0 |
_aMATLAB. _2sears |
| 650 | 1 | 0 |
_aSignal processing--Digital techniques--Data processing. _2sears |
| 650 | 1 | 0 |
_aSignal processing--Digital techniques. _2sears |
| 650 | 1 | 0 |
_aSignal processing _xDigital techniques _xMathematics _0http://id.loc.gov/authorities/subjects/sh94001318. |
| 700 | 1 |
_aProakis, John G., _eauthor. _0http://id.loc.gov/authorities/names/n82049358 |
|
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