internetboekhandel.nl
buttons Home pagina Kassa pagina, Winkelwagentje Contact info Email ons
leeg Home pagina Kassa pagina, Winkelwagentje Contact info Email ons Home pagina Rijks
Boekenweek
Rijks Home pagina Home pagina Kassa pagina, Winkelwagentje Contact info Email ons Besteller 60
 
Nederlands Buitenlands   Alles  Titel  Auteur  ISBN        
Technische wetenschappen
Technische wetenschappen algemeen
Levertijd: 5 tot 11 werkdagen


J. Carlos Santamarina

Discrete Signals and Inverse Problems

An Introduction for Engineers and Scientists

€ 171.95

Discrete 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.


Taal / Language : English

Inhoudsopgave:
Preface xi
Brief Comments on Notation xiii
Introduction
1(16)
Signals, Systems, and Problems
1(2)
Signals and Signal Processing -- Application Examples
3(5)
Inverse Problems -- Application Examples
8(2)
History -- Discrete Mathematical Representation
10(2)
Summary
12(5)
Solved Problems
12(2)
Additional Problems
14(3)
Mathematical Concepts
17(18)
Complex Numbers and Exponential Functions
17(4)
Matrix Algebra
21(7)
Derivatives - Constrained Optimization
28(1)
Summary
29(6)
Further Reading
29(1)
Solved Problems
30(3)
Additional Problems
33(2)
Signals and Systems
35(30)
Signals: Types and Characteristics
35(5)
Implications of Digitization - Aliasing
40(5)
Elemental Signals and Other Important Signals
45(4)
Signal Analysis with Elemental Signals
49(4)
Systems: Characteristics and Properties
53(4)
Combination of Systems
57(2)
Summary
59(6)
Further Reading
59(1)
Solved Problems
60(3)
Additional Problems
63(2)
Time Domain Analyses of Signals and Systems
65(38)
Signals and Noise
65(12)
Cross- and Autocorrelation: Identifying Similarities
77(8)
The Impulse Response -- System Identification
85(4)
Convolution: Computing the Output Signal
89(5)
Time Domain Operations in Matrix Form
94(2)
Summary
96(7)
Further Reading
96(1)
Solved Problems
97(2)
Additional Problems
99(4)
Frequency Domain Analysis of Signals (Discrete Fourier Transform)
103(34)
Orthogonal Functions - Fourier Series
103(4)
Discrete Fourier Analysis and Synthesis
107(5)
Characteristics of the Discrete Fourier Transform
112(7)
Computation in Matrix Form
119(2)
Truncation, Leakage, and Windows
121(2)
Padding
123(2)
Plots
125(2)
The Two-Dimensional Discrete Fourier Transform
127(1)
Procedure for Signal Recording
128(2)
Summary
130(7)
Further Reading and References
131(1)
Solved Problems
131(3)
Additional Problems
134(3)
Frequency Domain Analysis of Systems
137(38)
Sinusoids and Systems - Eigenfunctions
137(1)
Frequency Response
138(4)
Convolution
142(5)
Cross-Spectral and Autospectral Densities
147(4)
Filters in the Frequency Domain -- Noise Control
151(5)
Determining H with Noiseless Signals (Phase Unwrapping)
156(4)
Determining H with Noisy Signals (Coherence)
160(8)
Summary
168(7)
Further Reading and References
169(1)
Solved Problems
169(3)
Additional Problems
172(3)
Time Variation and Nonlinearity
175(40)
Nonstationary Signals: Implications
175(4)
Nonstationary Signals: Instantaneous Parameters
179(5)
Nonstationary Signals: Time Windows
184(4)
Nonstationary Signals: Frequency Windows
188(3)
Nonstationary Signals: Wavelet Analysis
191(6)
Nonlinear Systems: Detecting Nonlinearity
197(3)
Nonlinear Systems: Response to Different Excitations
200(4)
Time-Varying Systems
204(3)
Summary
207(8)
Further Reading and References
209(1)
Solved Problems
209(3)
Additional Problems
212(3)
Concepts in Discrete Inverse Problems
215(34)
Inverse Problems -- Discrete Formulation
215(12)
Linearization of Nonlinear Problems
227(1)
Data-Driven Solution -- Error Norms
228(6)
Model Selection -- Ockham`s Razor
234(4)
Information
238(2)
Data and Model Errors
240(1)
Nonconvex Error Surfaces
241(1)
Discussion on Inverse Problems
242(1)
Summary
243(6)
Further Reading and References
244(1)
Solved Problems
244(2)
Additional Problems
246(3)
Solution by Matrix Inversion
249(36)
Pseudoinverse
249(1)
Classification of Inverse Problems
250(3)
Least Squares Solution (LSS)
253(2)
Regularized Least Squares Solution (RLSS)
255(7)
Incorporating Additional Information
262(3)
Solution Based on Singular Value Decomposition
265(2)
Nonlinearity
267(1)
Statistical Concepts - Error Propagation
268(4)
Experimental Design for Inverse Problems
272(2)
Methodology for the Solution of Inverse Problems
274(1)
Summary
275(10)
Further Reading
276(1)
Solved Problems
277(5)
Additional Problems
282(3)
Other Inversion Methods
285(30)
Transformed Problem Representation
286(7)
Iterative Solution of System of Equations
293(5)
Solution by Successive Forward Simulations
298(3)
Techniques from the Field of Artificial Intelligence
301(7)
Summary
308(7)
Further Reading
308(1)
Solved Problems
309(3)
Additional Problems
312(3)
Strategy for Inverse Problem Solving
315(32)
Step 1: Analyze the Problem
315(5)
Step 2: Pay Close Attention to Experimental Design
320(1)
Step 3: Gather High-quality Data
321(1)
Step 4: Preprocess the Data
321(6)
Step 5: Select an Adequate Physical Model
327(3)
Step 6: Explore Different Inversion Methods
330(8)
Step 7: Analyze the Final Solution
338(1)
Summary
338(9)
Solved Problems
339(3)
Additional Problems
342(5)
Index 347
Extra informatie: 
Hardback
364 pagina's
Januari 2005
658 gram
229 x 159 x 25 mm
Wiley-Blackwell us

Levertijd: 5 tot 11 werkdagen