LEADER 05364nam 22006374a 450 001 9910876970703321 005 20200520144314.0 010 $a1-280-28754-3 010 $a9786610287543 010 $a0-470-02189-6 010 $a0-470-02188-8 035 $a(CKB)1000000000357230 035 $a(EBL)242937 035 $a(OCoLC)62786201 035 $a(SSID)ssj0000139831 035 $a(PQKBManifestationID)11134923 035 $a(PQKBTitleCode)TC0000139831 035 $a(PQKBWorkID)10028263 035 $a(PQKB)10507296 035 $a(MiAaPQ)EBC242937 035 $a(EXLCZ)991000000000357230 100 $a20050228d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDiscrete signals and inverse problems $ean introduction for engineers and scientists /$fJ. Carlos Santamarina, Dante Fratta 210 $aHoboken, NJ $cWiley$dc2005 215 $a1 online resource (366 p.) 300 $aDescription based upon print version of record. 311 $a0-470-02187-X 320 $aIncludes bibliographical references and index. 327 $aContents; Preface; Brief Comments on Notation; 1 Introduction; 1.1 Signals, Systems, and Problems; 1.2 Signals and Signal Processing - Application Examples; 1.3 Inverse Problems - Application Examples; 1.4 History - Discrete Mathematical Representation; 1.5 Summary; Solved Problems; Additional Problems; 2 Mathematical Concepts; 2.1 Complex Numbers and Exponential Functions; 2.2 Matrix Algebra; 2.3 Derivatives - Constrained Optimization; 2.4 Summary; Further Reading; Solved Problems; Additional Problems; 3 Signals and Systems; 3.1 Signals: Types and Characteristics 327 $a3.2 Implications of Digitization - Aliasing3.3 Elemental Signals and Other Important Signals; 3.4 Signal Analysis with Elemental Signals; 3.5 Systems: Characteristics and Properties; 3.6 Combination of Systems; 3.7 Summary; Further Reading; Solved Problems; Additional Problems; 4 Time Domain Analyses of Signals and Systems; 4.1 Signals and Noise; 4.2 Cross- and Autocorrelation: Identifying Similarities; 4.3 The Impulse Response - System Identification; 4.4 Convolution: Computing the Output Signal; 4.5 Time Domain Operations in Matrix Form; 4.6 Summary; Further Reading; Solved Problems 327 $aAdditional Problems5 Frequency Domain Analysis of Signals (Discrete Fourier Transform); 5.1 Orthogonal Functions - Fourier Series; 5.2 Discrete Fourier Analysis and Synthesis; 5.3 Characteristics of the Discrete Fourier Transform; 5.4 Computation in Matrix Form; 5.5 Truncation, Leakage, and Windows; 5.6 Padding; 5.7 Plots; 5.8 The Two-Dimensional Discrete Fourier Transform; 5.9 Procedure for Signal Recording; 5.10 Summary; Further Reading and References; Solved Problems; Additional Problems; 6 Frequency Domain Analysis of Systems; 6.1 Sinusoids and Systems - Eigenfunctions 327 $a6.2 Frequency Response6.3 Convolution; 6.4 Cross-Spectral and Autospectral Densities; 6.5 Filters in the Frequency Domain - Noise Control; 6.6 Determining H with Noiseless Signals (Phase Unwrapping); 6.7 Determining H with Noisy Signals (Coherence); 6.8 Summary; Further Reading and References; Solved Problems; Additional Problems; 7 Time Variation and Nonlinearity; 7.1 Nonstationary Signals: Implications; 7.2 Nonstationary Signals: Instantaneous Parameters; 7.3 Nonstationary Signals: Time Windows; 7.4 Nonstationary Signals: Frequency Windows; 7.5 Nonstationary Signals: Wavelet Analysis 327 $a7.6 Nonlinear Systems: Detecting Nonlinearity7.7 Nonlinear Systems: Response to Different Excitations; 7.8 Time-Varying Systems; 7.9 Summary; Further Reading and References; Solved Problems; Additional Problems; 8 Concepts in Discrete Inverse Problems; 8.1 Inverse Problems - Discrete Formulation; 8.2 Linearization of Nonlinear Problems; 8.3 Data-Driven Solution - Error Norms; 8.4 Model Selection - Ockham's Razor; 8.5 Information; 8.6 Data and Model Errors; 8.7 Nonconvex Error Surfaces; 8.8 Discussion on Inverse Problems; 8.9 Summary; Further Reading and References; Solved Problems 327 $aAdditional Problems 330 $aDiscrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs. Based on the original 'Introduction to Discrete Signals and Inverse Problems in Civil Engineering', this expanded and enriched version:combines discrete signal processing and inverse problem solving in one bookcovers the most versatile tools that are needed to process engineering and scient 606 $aCivil engineering$xMathematics 606 $aSignal processing$xMathematics 606 $aInverse problems (Differential equations) 615 0$aCivil engineering$xMathematics. 615 0$aSignal processing$xMathematics. 615 0$aInverse problems (Differential equations) 676 $a621.382/2 700 $aSantamarina$b J. Carlos$01762915 701 $aFratta$b Dante$0770915 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876970703321 996 $aDiscrete signals and inverse problems$94203095 997 $aUNINA