LEADER 01498nam--2200409---450- 001 990003070200203316 005 20080410124117.0 010 $a3-540-33295-2 035 $a000307020 035 $aUSA01000307020 035 $a(ALEPH)000307020USA01 035 $a000307020 100 $a20080226d2007----km-y0itay0103----ba 101 $aeng 102 $aDE 105 $aa|||z|||101yy 200 1 $aResearch in Computational Molecular Biology$e11th Annual International Conference, RECOMB 2007$eOakland, CA, USA, April 21-25, 2007$eproceedings$fTerry Speed, Haiyan Huang (Eds.) 210 $aBerlin [etc.]$cSpringer$d[c2007] 215 $aXVI, 550 p.$cill.$d24 cm 225 $aLecture notes in bioinformatics$v4453 225 $aLecture notes in computer science 410 0$12001$aLecture notes in bioinformatics$v4453 606 0 $aGenetica$xModelli matematici$xCongressi$yOakland$z2007 606 0 $aBiologia molecolare$xModelli matematici$xCongressi$yOakland$z2007 676 $a572.8 702 1$aSPEED,$bTerry 702 1$aHUANG,$bHaiyan 710 12$aAnnual International Conference, RECOMB 2007$d<11. ;$f2007 ;$eOakland>$0600316 801 0$aIT$bsalbc$gISBD 912 $a990003070200203316 951 $a005.12 LNBI 4453$b34866/CBS$c005.12$d00224890 959 $aBK 969 $aSCI 979 $aANGELA$b90$c20080226$lUSA01$h1053 979 $aANGELA$b90$c20080410$lUSA01$h1241 996 $aResearch in Computational Molecular Biology$91023003 997 $aUNISA LEADER 06474nam 2200757 a 450 001 9910140977003321 005 20240516062953.0 010 $a9786613126368 010 $a9781283126366 010 $a1283126362 010 $a9781118033807 010 $a1118033809 010 $a9781118033623 010 $a1118033620 010 $a9781118033609 010 $a1118033604 035 $a(CKB)2670000000083421 035 $a(EBL)697635 035 $a(SSID)ssj0000535879 035 $a(PQKBManifestationID)11346955 035 $a(PQKBTitleCode)TC0000535879 035 $a(PQKBWorkID)10545984 035 $a(PQKB)10094907 035 $a(OCoLC)729726215 035 $a(CaSebORM)9780470880913 035 $a(MiAaPQ)EBC697635 035 $a(OCoLC)801812936 035 $a(OCoLC)ocn801812936 035 $a(Perlego)1011594 035 $a(EXLCZ)992670000000083421 100 $a20101115d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital signal processing using MATLAB for students and researchers /$fJohn W. Leis 205 $a1st ed. 210 $aHoboken, New Jersey $cWiley$d[2011] 215 $a1 online resource (382 pages) 300 $aDescription based upon print version of record. 311 08$a9780470880913 311 08$a0470880910 320 $aIncludes bibliographical references and index. 327 $aDIGITAL SIGNAL PROCESSING USING MATLAB FOR STUDENTS AND RESEARCHERS; CONTENTS; PREFACE; CHAPTER 1: WHAT IS SIGNAL PROCESSING?; 1.1 CHAPTER OBJECTIVES; 1.2 INTRODUCTION; 1.3 BOOK OBJECTIVES; 1.4 DSP AND ITS APPLICATIONS; 1.5 APPLICATION CASE STUDIES USING DSP; 1.6 OVERVIEW OF LEARNING OBJECTIVES; 1.7 CONVENTIONS USED IN THIS BOOK; 1.8 CHAPTER SUMMARY; CHAPTER 2: MATLAB FOR SIGNAL PROCESSING; 2.1 CHAPTER OBJECTIVES; 2.2 INTRODUCTION; 2.3 WHAT IS MATLAB?; 2.4 GETTING STARTED; 2.5 EVERYTHING IS A MATRIX; 2.6 INTERACTIVE USE; 2.7 TESTING AND LOOPING; 2.8 FUNCTIONS AND VARIABLES 327 $a2.9 PLOTTING AND GRAPHING2.10 LOADING AND SAVING DATA; 2.11 MULTIDIMENSIONAL ARRAYS; 2.12 BITWISE OPERATORS; 2.13 VECTORIZING CODE; 2.14 USING MATLAB FOR PROCESSING SIGNALS; 2.15 CHAPTER SUMMARY; CHAPTER 3: SAMPLED SIGNALS AND DIGITAL PROCESSING; 3.1 CHAPTER OBJECTIVES; 3.2 INTRODUCTION; 3.3 PROCESSING SIGNALS USING COMPUTER ALGORITHMS; 3.4 DIGITAL REPRESENTATION OF NUMBERS; 3.5 SAMPLING; 3.6 QUANTIZATION; 3.7 IMAGE DISPLAY; 3.8 ALIASING; 3.9 RECONSTRUCTION; 3.10 BLOCK DIAGRAMS AND DIFFERENCE EQUATIONS; 3.11 LINEARITY, SUPERPOSITION, AND TIME INVARIANCE 327 $a3.12 PRACTICAL ISSUES AND COMPUTATIONAL EFFICIENCY3.13 CHAPTER SUMMARY; CHAPTER 4: RANDOM SIGNALS; 4.1 CHAPTER OBJECTIVES; 4.2 INTRODUCTION; 4.3 RANDOM AND DETERMINISTIC SIGNALS; 4.4 RANDOM NUMBER GENERATION; 4.5 STATISTICAL PARAMETERS; 4.6 PROBABILITY FUNCTIONS; 4.7 COMMON DISTRIBUTIONS; 4.8 CONTINUOUS AND DISCRETE VARIABLES; 4.9 SIGNAL CHARACTERIZATION; 4.10 HISTOGRAM OPERATORS; 4.11 MEDIAN FILTERS; 4.12 CHAPTER SUMMARY; CHAPTER 5: REPRESENTING SIGNALS AND SYSTEMS; 5.1 CHAPTER OBJECTIVES; 5.2 INTRODUCTION; 5.3 DISCRETE-TIME WAVEFORM GENERATION; 5.4 THE z TRANSFORM 327 $a5.5 POLYNOMIAL APPROACHThe previous section showed how to iterate a difference equation in order to determinethe output sequence. It is particularly important to understand the relationshipbetween difference equations and their transforms. The z transform of a linear systemgives us the key to combining systems together to form more complex systems, sincethe z transforms in combined blocks are able to be multiplied or added together asnecessary. We now give another insight into this approach.S...5.6 POLES, ZEROS, AND STABILITY; 5.7 TRANSFER FUNCTIONS AND FREQUENCY RESPONSE 327 $a5.8 VECTOR INTERPRETATION OF FREQUENCY RESPONSE5.9 CONVOLUTION; 5.10 CHAPTER SUMMARY; CHAPTER 6: TEMPORAL AND SPATIAL SIGNAL PROCESSING; 6.1 CHAPTER OBJECTIVES; 6.2 INTRODUCTION; 6.3 CORRELATION; 6.4 LINEAR PREDICTION; 6.5 NOISE ESTIMATION AND OPTIMAL FILTERING; 6.6 TOMOGRAPHY; 6.7 CHAPTER SUMMARY; CHAPTER 7: FREQUENCY ANALYSIS OF SIGNALS; 7.1 CHAPTER OBJECTIVES; 7.2 INTRODUCTION; 7.3 FOURIER SERIES; 7.4 HOW DO THE FOURIER SERIES COEFFICIENT EQUATIONS COME ABOUT?; 7.5 PHASE-SHIFTED WAVEFORMS; 7.6 THE FOURIER TRANSFORM; 7.7 ALIASING IN DISCRETE-TIME SAMPLING 327 $a7.8 THE FFT AS A SAMPLE INTERPOLATOR 330 $a"This book uses an active learning approach to the topic of digital signal processing (DSP). DSP is a fundamental technology with wide ranging applications as, for example, digital downloads of movies, mobile and broadband communications, digital television, and many other areas. In this book the subject is taught using a "hands-on" experimental approach with MATLAB examples throughout the text to illustrate the mathematical concepts and DSP algorithms developed and explained. Existing books in this area tends to fall into one of two camps - either a highly mathematical treatment with few practical examples of the everyday uses of DSP, or else very verbose and descriptive treatments with little or no mathematical content to back up the topics. The former type of text is excellent as a standard reference, but poor as a learning vehicle. The latter type of text is good for general knowledge, but fails to meet the needs of University students and practicing industry professionals. Students need a learn-by-doing approach, and industry professionals need to come up to speed as rapidly as possible. The book uses MATLAB throughout, inn an established industry and University programming environment. Furthermore, it requires that the reader only have access to the Student/Educational version of MATLAB, not the full commercial version, which is out of reach of most students"--$cProvided by publisher. 606 $aSignal processing$xDigital techniques 606 $aSignal processing$xMathematics$xData processing 615 0$aSignal processing$xDigital techniques. 615 0$aSignal processing$xMathematics$xData processing. 676 $a621.382/2 676 $a621.3822 686 $aSCI067000$2bisacsh 700 $aLeis$b John$f1966-$0514730 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910140977003321 996 $aDigital signal processing using MATLAB for students and researchers$9851565 997 $aUNINA