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140214t19971997enka ob 001 0 eng d |
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|a E7B
|b eng
|e rda
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|a 871225070
|a 1162427659
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|a 9780857099815
|q (electronic bk.)
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|a 0857099817
|q (electronic bk.)
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|z 9781898563303
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|a (OCoLC)874158516
|z (OCoLC)871225070
|z (OCoLC)1162427659
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|a TK5102.9
|b .C437 1997eb
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|a 621.3822
|2 23
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|a Chapman, Michael J.
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|a Signal processing in electronic communications /
|c Michael J. Chapman, David P. Goodall and Nigel C. Steele.
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|a Chichester, England :
|b Horwood Publishing,
|c 1997.
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|c �1997
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|a 1 online resource (310 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Woodhead Publishing Series in Electronic and Optical Materials
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504 |
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|a Includes bibliographical references and index.
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|a Online resource; title from PDF title page (ebrary, viewed February 14, 2014).
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|a This text deals with signal processing as an important aspect of electronic communications in its role of transmitting information, and the language of its expression. It develops the required mathematics in an interesting and informative way, leading to confidence on the part of the reader. The first part of the book focuses on continuous-time models, and contains chapters on signals and linear systems, and on system responses. Fourier methods, so vital in the study of information theory, are developed prior to a discussion of methods for the design of analogue filters. The second part of the book is directed towards discrete-time signals and systems. There is full development of the z- and discrete Fourier transforms to support the chapter on digital filter design. All preceding material in the book is drawn together in the final chapter on some important aspects of speech processing which provides an up-to-date example of the use of the theory. Topics considered include a speech production model, linear predictive filters, lattice filters and cepstral analysis, with application to recognition of non-nasal voiced speech and formant estimation. In addition to course requirement for undergraduates studying electrical engineering, applied mathematics, and branches of computer science involving such signal processing as speak synthesis, computer vision and robotics, this book should provide a valuable reference source for post-graduate research work in industry and academia. An elementary knowledge of algebra (e.g. partial fractions) is a prerequisite, and also calculus including differential equations. A knowledge of complex numbers and of the basic concept of a function of a complex variable is also needed. Deals with signal processing as an important aspect of electronic communications in its role of transmitting information, and the language of its expressionTopics considered include a speech production model, linear predictive filters, lattice filters and cepstral analysis, with application to recognition of non-nasal voiced speech and formant estimation.
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|a Front Cover; Signal Processing in Electronic Communications; Copyright Page; Preface; OUTLINE OF THE BOOK; PREREQUISITES; EXERCISES; ACKNOWLEDGEMENTS; Table of contents; List of Tables; Chapter 1. Signals and linear system fundamentals; 1.1 INTRODUCTION; 1.2 SIGNALS AND SYSTEMS; 1.3 L-C-R CIRCUITS; 1.4 LINEAR SYSTEMS; 1.5 SIMULATION DIAGRAMS; 1.6 THE LAPLACE TRANSFORM; 1.7 INTRODUCTION TO GENERALIZED FUNCTIONS; 1.8 SOME PROPERTIES OF THE LAPLACE TRANSFORM; 1.9 APPLICATION TO TIME-INVARIANT LINEAR SYSTEMS; 1.10 TRANSFER FUNCTIONS; 1.11 EXERCISES; Chapter 2. System responses; 2.1 INTRODUCTION.
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|a 2.2 STABILITY OF LINEAR TIME-INVARIANT SYSTEMS2.3 THE IMPULSE RESPONSE; 2.4 THE STEP RESPONSE; 2.5 SIGNAL DECOMPOSITION AND CONVOLUTION; 2.6 FREQUENCY RESPONSE; 2.7 EXERCISES; Chapter 3. Fourier methods; 3.1 INTRODUCTION; 3.2 FOURIER SERIES; 3.3 THE FOURIER TRANSFORM; 3.4 THE FOURIER SPECTRUM; 3.5 PROPERTIES OF THE FOURIER TRANSFORM; 3.6 SIGNAL ENERGY AND POWER; 3.7 A GENERALIZATION OF THE FOURIER TRANSFORM; 3.8 THE CONVOLUTION THEOREMS; 3.9 SAMPLING OF TIME SIGNALS AND ITS IMPLICATIONS; 3.10 EXERCISES; Chapter 4. Analogue filters; 4.1 INTRODUCTION; 4.2 ANALOGUE FILTER TYPES.
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|a 4.3 A CLASS OF LOW-PASS FILTERS4.4 BUTTERWORTH FILTERS, THE GENERAL CASE; 4.5 FILTER TRANSFORMATIONS; 4.6 OTHER FILTER DESIGNS; 4.7 EXERCISES; Chapter 5. Discrete-time signals and systems; 5.1 INTRODUCTION; 5.2 SEQUENCES; 5.3 LINEAR SYSTEMS; 5.4 SIMULATION DIAGRAMS; 5.5 THE z-TRANSFORM; 5.6 PROPERTIES OF THE z-TRANSFORM; 5.7 APPLICATION TO LINEAR TIME-INVARIANT SYSTEMS; 5.8 THE z-TRANSFER FUNCTION; 5.9 A CONNECTION WITH THE LAPLACE TRANSFORM; 5.10 EXERCISES; Chpater 6. Discrete-time system responses; 6.1 INTRODUCTION; 6.2 BIBO AND MARGINAL STABILITY; 6.3 THE IMPULSE RESPONSE.
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|a 6.4 THE STEP RESPONSE6.5 DISCRETE-TIME CONVOLUTION; 6.6 THE FREQUENCY RESPONSE; 6.7 EXERCISES; Chapter 7. Discrete-time Fourier analysis; 7.1 INTRODUCTION; 7.2 THE DISCRETE FOURIER TRANSFORM, (DFT); 7.3 THE DISCRETE-TIME FOURIER TRANSFORM, DTFT; 7.4 ESTIMATING THE DTFT; 7.5 ESTIMATING FOURIER SERIES; 7.6 ESTIMATING FOURIER TRANSFORMS; 7.7 THE FAST FOURIER TRANSFORM; 7.8 EXERCISES; Chapter 8. The design of digital filters; 8.1 INTRODUCTION; 8.2 THE IMPULSE INVARIANT METHOD; 8.3 THE STEP INVARIANT METHOD; 8.4 THE BILINEAR TRANSFORM METHOD.
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|a 8.5 A 'DIRECT' DESIGN METHOD: THE FOURIER SERIES APPROACH8.6 WINDOWS; 8.7 EXERCISES; Chapter 9. Aspects of speech processing; 9.1 INTRODUCTION; 9.2 SPEECH PRODUCTION MODEL; 9.3 CORRELATION FUNCTIONS; 9.4 LINEAR PREDICTIVE FILTERS; 9.5 ESTIMATION OF THE SPEECH GAIN PARAMETER; 9.6 FORMANT ESTIMATION; 9.7 LATTICE FILTER FORMULATION; 9.8 THE CEPSTRUM; 9.9 HOMOMORPHIC SYSTEMS AND DECONVOLUTION; 9.10 CEPSTRAL ANALYSIS OF SPEECH SIGNALS; 9.11 FORMANT ESTIMATION USING CEPSTRAL ANALYSIS; 9.12 EXERCISES; Chapter A. The complex exponential; A.1 MACLAURIN SERIES FOR EXP, COS AND SIN.
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546 |
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|a English.
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650 |
|
0 |
|a Signal processing
|x Digital techniques.
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650 |
|
0 |
|a Signal theory (Telecommunication)
|x Mathematics.
|
650 |
|
6 |
|a Traitement du signal
|x Techniques num�eriques.
|0 (CaQQLa)201-0087536
|
650 |
|
6 |
|a Th�eorie du signal (T�el�ecommunications)
|0 (CaQQLa)201-0006238
|x Math�ematiques.
|0 (CaQQLa)201-0380112
|
650 |
|
7 |
|a Signal processing
|x Digital techniques.
|2 fast
|0 (OCoLC)fst01118285
|
650 |
|
7 |
|a Signal theory (Telecommunication)
|x Mathematics.
|2 fast
|0 (OCoLC)fst01118307
|
700 |
1 |
|
|a Goodall, David P.
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700 |
1 |
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|a Steele, N. C.
|q (Nigel C.)
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776 |
0 |
8 |
|i Print version:
|a Chapman, Michael J.
|t Signal processing in electronic communications.
|d Chichester, England : Horwood Publishing, �1997
|h ix, 296 pages
|z 9781898563303
|
830 |
|
0 |
|a Woodhead Publishing series in electronic and optical materials.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9781898563303
|z Texto completo
|