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Signal Processing - ece.rutgers.edu

INTRODUCTION TOSignalProcessingINTRODUCTION TOSignalProcessingSophocles J. OrfanidisRutgers ~orfanidi/intro2spTo my lifelong friend George LazosCopyright 2010 by Sophocles J. OrfanidisThis book was previously published by Pearson Education, 1996 2009 by Prentice Hall, Inc. Previous ISBN rights reserved. No parts of this publication may be reproduced, stored in a retrievalsystem, or transmitted in any form or by any means, electronic, mechanical, photocopy-ing, recording or otherwise, without the prior written permission of the Ris a registered trademark of The MathWorks, ~orfanidi/i2spContentsPreface xiii1 Sampling and Reconstruction , of Analog Signals, Theorem, Theorem, Prefilters, Limits, of Sinusoids, Reconstruction and Aliasing, Motion, Frequency Units, of Sampled Signals , Fourier Transform, Replication, Antialiasing Prefilters, Reconstructors , Reconstructors, Reconstructors, Postfilters, Components of DSP Systems, , 552 Quantization Process, and Noise Shaping , Converters, Converters, and Digital Dither , , 903 Discrete-Time Systems Rules.

The learning of DSP can be made into a rewarding, interesting, and fun experience for the student by weaving into the material several applications, such as the above, that serve as vehicles for teaching the basic DSP concepts, while generating and maintaining

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