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010   $a3-319-25468-5
024 7 $a10.1007/978-3-319-25468-5
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035   $a(PQKBTitleCode)TC0001599511
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035   $a(DE-He213)978-3-319-25468-5
035   $a(MiAaPQ)EBC6314935
035   $a(MiAaPQ)EBC5586542
035   $a(Au-PeEL)EBL5586542
035   $a(OCoLC)933247936
035   $a(PPN)190885661
035   $a(EXLCZ)993780000000094067
100   $a20151209d2016      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aDigital Signal Processing and Spectral Analysis for Scientists $eConcepts and Applications /$fby Silvia Maria Alessio
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XXIV, 900 p. 352 illus. in color.)
225 1 $aSignals and Communication Technology,$x1860-4862
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-25466-9 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Discrete-time Signals and Systems -- Transforms of Discrete-time Signals -- Sampling of Continuous-time Signals -- Spectral Analysis of Deterministic Discrete-Time Signals -- Digital Filter Properties and Filtering Implementation -- FIR Filters Design -- IIR Filters Design -- Statistical Approach to Signal Analysis -- Non-Parametric Spectral Methods -- Parametric Spectral Methods.- Singular Spectrum Analysis (SSA).- Non-Stationary Spectral Analysis.- Discrete Wavelet Transform (DWT) -- De-noising and Compression byWavelets -- Exercises with Matlab.
330   $aThis book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aPhysics
606   $aRemote sensing
606   $aEconometrics
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010
606   $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aPhysics.
615  0$aRemote sensing.
615  0$aEconometrics.
615 14$aSignal, Image and Speech Processing.
615 24$aNumerical and Computational Physics, Simulation.
615 24$aRemote Sensing/Photogrammetry.
615 24$aEconometrics.
676   $a621.3822
700   $aAlessio$b Silvia Maria$4aut$4http://id.loc.gov/vocabulary/relators/aut$0788081
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254186103321
996   $aDigital Signal Processing and Spectral Analysis for Scientists$91756547
997   $aUNINA