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007    cr cnu|||||||| 
008    200713s2004    xx      o     ||||0 eng d 
020    9780080472522|q(electronic bk.) 
020    |z9780750663441 
035    (MiAaPQ)EBC288931 
035    (Au-PeEL)EBL288931 
035    (CaPaEBR)ebr10169915 
035    (CaONFJC)MIL101604 
035    (OCoLC)476042885 
040    MiAaPQ|beng|erda|epn|cMiAaPQ|dMiAaPQ 
050  4 TK5102.9.S76 2004 
082 0  621.3822 
100 1  Stranneby, Dag 
245 10 Digital Signal Processing and Applications 
250    2nd ed 
264  1 Jordan Hill :|bElsevier Science & Technology,|c2004 
264  4 |c©2004 
300    1 online resource (368 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
505 0  Cover -- Digital Signal Processing and Applications -- 
       Contents -- Preface -- 1 Introduction -- Background -- 
       Objectives -- 1.1 The history of digital signal processing
       -- 1.1.1 Measurements and analysis -- 1.1.2 
       Telecommunications -- 1.1.3 Audio and television -- 1.1.4 
       Household appliances and toys -- 1.1.5 Automotive -- 1.2 
       Digital signal processing basics -- 1.2.1 Continuous and 
       discrete signals -- 1.2.2 Sampling and reconstruction -- 
       1.2.3 Quantization -- 1.2.4 Processing models for discrete
       -time series -- 1.2.4.1 Linear systems -- 1.2.4.2 The 
       difference equation model -- 1.2.4.3 The state-space model
       -- 1.2.4.4 The convolution model -- 1.2.4.5 The transfer 
       function model -- 1.2.4.6 The frequency function model -- 
       1.3 Common filters -- 1.3.1 Filter architectures -- 
       1.3.1.1 The non-recursive filter -- 1.3.1.2 The recursive 
       filter -- 1.3.1.3 The lattice filter -- 1.3.2 Filter 
       synthesis -- 1.3.2.1 Indirect filter synthesis -- 1.3.2.2 
       Direct filter synthesis -- 1.4 Digital control systems -- 
       1.4.1 Proportional-integral-derivate controllers -- 1.4.2 
       Advanced controllers -- 1.4.2.2 Pole placement controller 
       -- Summary -- Review questions -- Solved problems -- 2 The
       analog-digital interface -- Background -- Objectives -- 
       2.1 System considerations -- 2.1.1 Encoding and modulation
       -- 2.1.2 Number representation and companding systems -- 
       2.2 Digital-to-analog conversion -- 2.2.1 Multiplying 
       digital-to-analog converters -- 2.2.2 Integrating digital-
       to-analog converters -- 2.2.3 Bitstream digital-to-analog 
       converters -- 2.2.4 Sample-and-hold and reconstruction 
       filters -- 2.3 Analog-to-digital conversion -- 2.3.1 Anti-
       aliasing filters and sample-and-hold -- 2.3.2 Flash analog
       -to-digital converters -- 2.3.3 Successive approximation 
       analog-to-digital converters -- 2.3.4 Counting analog-to-
       digital converters -- 2.3.5 Integrating analog-to-digital 
       converters 
505 8  2.3.6 Dither -- 2.3.7 Sigma-delta analog-to-digital 
       converters -- Summary -- Review questions -- Solved 
       problems -- 3 Adaptive digital systems -- Background -- 
       Objectives -- 3.1 Introduction -- 3.1.1 System structure -
       - 3.2 The processor and the performance function -- 3.2.1 
       The adaptive linear combiner -- 3.2.2 The performance 
       function -- 3.3 Adaptation algorithms -- 3.3.1 The method 
       of steepest descent -- 3.3.2 Newton's method -- 3.3.3 The 
       least mean square algorithm -- 3.4 Applications -- 3.4.1 
       Adaptive interference canceling -- 3.4.2 Equalizers -- 
       3.4.3 Adaptive beamforming -- Summary -- Review questions 
       -- Solved problems -- 4 Non-linear applications -- 
       Background -- Objectives -- 4.1 The median filter -- 4.1.1
       Basics -- 4.1.2 Threshold decomposition -- 4.1.3 
       Performance -- 4.1.4 Applications -- 4.2 Artificial neural
       networks -- 4.2.1 Background -- 4.2.2 The models -- 4.2.3 
       Some historical notes -- 4.2.4 Feedforward networks -- 
       4.2.4.1 Nodes -- 4.2.4.2 Network topology -- 4.2.4.3 
       Training and adaptation -- 4.2.4.4 Applications -- 4.2.5 
       Feedback networks -- 4.2.5.1 Nodes -- 4.2.5.2 Network 
       topology -- 4.2.5.3 Local and global minimum -- 4.2.5.4 
       Applications -- 4.2.6 An example application -- 4.2.6.1 
       The problem -- 4.2.6.2 The Hamming net -- 4.2.6.3 The 
       feedforward input layer -- 4.2.6.4 The feedback layer, 
       MAXNET -- 4.3 Fuzzy logic -- 4.3.1 General -- 4.3.2 
       Membership functions -- 4.3.3 Fuzzy rules and inference --
       4.3.4 Defuzzification -- 4.3.5 Applications -- Summary -- 
       Review questions -- Solved problems -- 5 Spectral analysis
       and modulation -- Background -- Objectives -- 5.1 Discrete
       Fourier transform and fast Fourier transform -- 5.2 
       Spectral analysis -- 5.2.1 Discrete Fourier transform and 
       fast Fourier transform approaches -- 5.2.2 Using the auto-
       correlation function -- 5.2.3 Periodogram averaging -- 
       5.2.4 Parametric spectrum analysis 
505 8  5.2.5 Wavelet analysis -- 5.3 Modulation -- 5.3.1 
       Amplitude shift keying (ASK) -- 5.3.2 Frequency shift 
       keying (FSK) -- 5.3.3 Phase shift keying (PSK) -- 5.3.4 
       Complex modulation -- 5.3.5 The Hilbert transformer -- 
       Summary -- Review questions -- Solved problems -- 6 
       Introduction to Kalman filters -- Background -- Objectives
       -- 6.1 An intuitive approach -- 6.1.1 Recursive least 
       square estimation -- 6.1.2 The pseudo-inverse -- 6.2 The 
       Kalman filter -- 6.2.1 The signal model -- 6.2.2 The 
       filter -- 6.2.3 Kalman filter properties -- 6.2.4 
       Applications -- Summary -- Review questions -- Solved 
       problems -- 7 Data compression -- Background -- Objectives
       -- 7.1 An information theory primer -- 7.1.1 Historic 
       notes -- 7.1.2 Information and entropy -- 7.1.2.1 Some 
       concluding remarks about the concept of entropy -- 7.2 
       Source coding -- 7.2.1 Huffman algorithm -- 7.2.2 Delta 
       modulation, adaptive delta modulation and continuously 
       variable slope delta modulation -- 7.2.3 Differential 
       pulse code modulation and adaptive differential pulse code
       modulation -- 7.2.4 Speech coding, adaptive predictive 
       coding and sub-band coding -- 7.2.5 Vocoders and linear 
       predictive coding -- 7.2.6 Image coding, joint 
       photographics expert group (JPEG), moving pictures expert 
       group (MPEG) -- 7.2.7 The layer-3 of MPEG-1 algorithm 
       (MP3) -- 7.2.8 The Lempel-Ziv algorithm -- 7.3 Recognition
       techniques -- 7.3.1 A general problem formulation -- 7.3.2
       Speech recognition -- 7.3.3 Image recognition -- Summary -
       - Review questions -- Solved problems -- 8 Error-
       correcting codes -- Background -- Objectives -- 8.1 
       Channel coding -- 8.1.1 The channel model -- 8.1.2 The 
       channel capacity -- 8.2 Error-correcting codes -- 8.2.1 
       Hamming distance and error correction -- 8.2.2 Linear 
       block codes -- 8.2.3 Cyclic codes, Bose, Chaudhuri, 
       Hocquenghem codes -- 8.2.4 Convolution codes -- 8.2.5 
       Viterbi decoding 
505 8  8.2.6 Interleaving -- 8.2.7 Concatenated codes and turbo 
       codes -- Summary -- Review questions -- Solved problems --
       9 Digital signal processors -- Background -- Objectives --
       9.1 System considerations -- 9.1.1 Applications and 
       requirements -- 9.1.2 Hardware implementation -- 9.2 
       Digital signal processors versus conventional 
       microprocessors -- 9.2.1 Conventional microprocessors -- 
       9.2.1.1 Architecture -- 9.2.1.2 Instruction repertoire -- 
       9.2.1.3 Interface -- 9.2.2 Digital signal processors -- 
       9.2.2.1 Architecture -- 9.2.2.2 Instruction repertoire -- 
       9.2.2.3 Interface -- 9.3 Programming digital signal 
       processors -- 9.3.1 The development process -- 9.3.2 
       Digital signal processing programming languages -- 9.3.3 
       The program structure -- 9.3.4 Arithmetic issues -- 9.3.5 
       Data structures and addressing modes -- 9.3.6 The state 
       machine -- 9.4 Implementation examples -- 9.4.1 Finite 
       impulse response-type filter -- 9.4.2 Infinite impulse 
       response-type filter -- 9.5 Future systems and chips -- 
       Summary -- Review questions -- Solved problems -- Appendix
       1 Solutions to problems -- Appendix 2 A MATLAB™/Simulink™ 
       primer -- A2.1 Introduction -- A2.1.1 The software -- A2.2
       Basics -- A2.2.1 Some simple math -- A2.2.2 Variables, 
       scalars, vectors and matrices -- A2.2.2.1 Scalars -- 
       A2.2.2.2 Vectors and matrices -- A2.2.2.3 Vector and 
       matrix computations -- A2.2.2.4 Addressing vectors and 
       matrices -- A2.2.2.5 Sequences -- A2.2.3 Basic input/
       output and graphics -- A2.2.3.1 Input -- A2.2.3.2 
       Numerical and character output -- A2.2.3.3 Graphic output 
       -- A2.2.4 Other programming structures -- A2.2.4.1 
       Conditional execution -- A2.2.4.2 Loop structures -- A2.3 
       Workspace, scripts and functions -- A2.3.1 The workspace -
       - A2.3.2 Scripts and m-files -- A2.3.3 Functions -- A2.4 
       Some useful functions -- A2.4.1 Linear systems -- A2.4.2 
       Filter design -- A2.4.2.1 Analog filter design 
505 8  A2.4.2.2 Transformations -- A2.4.2.3 Digital filter design
       -- A2.4.3 Fast Fourier transform and convolution -- A2.5 
       Simulink™ -- References -- Glossary -- A -- B -- C -- D --
       E -- F -- G -- H -- I -- J -- L -- M -- N -- O -- P -- Q -
       - R -- S -- T -- U -- V -- W -- X -- Z -- Index -- A -- B 
       -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- 
       N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -
       - Z 
520    A uniquely practical DSP text, this book gives a thorough 
       understanding of the principles and applications of DSP 
       with a minimum of mathematics, and provides the reader 
       with an introduction to DSP applications in telecoms, 
       control engineering and measurement and data analysis 
       systems. The new edition contains:  Expanded coverage of 
       the basic concepts to aid understanding  New sections on 
       filter sysnthesis, control theory and contemporary topics 
       of speech and image recognition  Full solutions to all 
       questions and exercises in the book  A complete on-line 
       resource The on-line resource offers instructors and 
       students complete lecture notes, lecture videos, 
       PowerPoint slides for presentations, final exams and 
       solutions, project exercises, URLs to DSP applet 
       experiment animations and e-meeting software for direct 
       communication with the authors. Assuming the reader 
       already has some prior knowledge of signal theory, this 
       textbook will be highly suitable for undergraduate and 
       postgraduate students in electrical and electronic 
       engineering taking introductory and advanced courses in 
       DSP, as well as courses in communications and control 
       systems engineering. It will also prove an invaluable 
       introduction to DSP and its applications for the 
       professional engineer. · Expanded coverage of the basic 
       concepts to aid understanding, along with a wide range of 
       DSP applications · New textbook features included 
       throughout, including learning objectives, summary 
       sections, exercises and worked examples to increase 
       accessibility of the text · Full solutions to all 
       questions and exercises included in the book, with extra 
       resources on-line 
588    Description based on publisher supplied metadata and other
       sources 
590    Electronic reproduction. Ann Arbor, Michigan : ProQuest 
       Ebook Central, 2020. Available via World Wide Web. Access 
       may be limited to ProQuest Ebook Central affiliated 
       libraries 
650  0 Signal processing--Digital techniques 
655  4 Electronic books 
700 1  Walker, William 
776 08 |iPrint version:|aStranneby, Dag|tDigital Signal 
       Processing and Applications|dJordan Hill : Elsevier 
       Science & Technology,c2004|z9780750663441 
856 40 |uhttps://ebookcentral.proquest.com/lib/sinciatw/
       detail.action?docID=288931|zClick to View