LEADER 01535nas 2200505- 450 001 996206070503316 005 20230124191658.0 011 $a2195-3961 035 $a(OCoLC)905958805 035 $a(CKB)3350000000000808 035 $a(CONSER)--2015247838 035 $a(MiAaPQ)2046143 035 $a(DE-599)ZDB2842515-7 035 $a(EXLCZ)993350000000000808 100 $a20150303a20159999 --- - 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational cognitive science 210 1$a[Heidelberg, Germany] :$cSpringer,$d[2015]- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 531 $aCOMPUT COGN SCI 531 0 $aComput. cognit. sci. 606 $aCognitive science$vPeriodicals 606 $aCognition$xComputer simulation 606 $aCognition$xComputer simulation$2fast$3(OCoLC)fst00866461 606 $aCognitive science$2fast$3(OCoLC)fst00866547 606 $aCognitive Science 606 $aArtificial Intelligence 608 $aPeriodical. 608 $aPeriodicals.$2fast 610 $aPsychology 615 0$aCognitive science 615 0$aCognition$xComputer simulation. 615 7$aCognition$xComputer simulation. 615 7$aCognitive science. 615 2$aCognitive Science. 615 2$aArtificial Intelligence. 906 $aJOURNAL 912 $a996206070503316 996 $aComputational cognitive science$92195823 997 $aUNISA LEADER 03316nam 22005174 450 001 9910807864803321 005 20231206232748.0 010 $a1-68392-801-6 010 $a1-68392-800-8 035 $a(CKB)27374575600041 035 $a(DE-B1597)653831 035 $a(DE-B1597)9781683928010 035 $a(MiAaPQ)EBC6975919 035 $a(FR-PaCSA)88949199 035 $a(EXLCZ)9927374575600041 100 $a20230808h20222022 uy 0 101 0 $aeng 135 $aur||#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Signal Processing $eAn Introduction /$fR. Anand 210 1$aDulles, Virginia :$cMercury Learning and Information,$d[2022] 210 4$d©2022 215 $a1 online resource (xii, 651 pages) $cillustrations 300 $aIncludes index. 311 $a1-68392-802-4 327 $tFrontmatter --$tContents --$tPreface --$tChapter 1: Introduction to Digital Signal Processing (DSP) --$tChapter 2: Review of Discrete?Time Signals and Systems --$tChapter 3: The z-Transform --$tChapter 4: Frequency Analysis Using DTFT --$tChapter 5: Discrete Fourier Transforms (DFTs) --$tChapter 6: Fast Fourier Transform (FFT) Algorithms --$tChapter 7: Implementation of Discrete-Time Systems --$tChapter 8: Digital Filters --$tChapter 9: Design and Analysis of Infinite Impulse Response (IIR) Digital Filters --$tChapter 10: Design and Analysis of Finite Impulse Response (FIR) Digital Filters --$tChapter 11: Statistical Digital Signal Processing --$tChapter 12: Multirate Digital Signal Processing (MDSP) --$tChapter 13: Applications of Digital Signal Processing to Speech --$tChapter 14: Applications of Digital Signal Processing to Radar --$tGlossary --$tIndex 330 $aDesigned to cover the fundamental concepts of digital signal processing, the book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more. DSP has been applied in most disciplines ranging from engineering to telecommunications, and from astronomy to medical imaging. This book focuses on the fundamentals of DSP, namely on the representation of signals by mathematical models and on the processing of signals by discrete-time systems. FEATURES: Designed to cover the fundamental concepts of DSPIntroduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and moreFeatures a variety of exercises and a glossary 606 $aSignal processing$xDigital techniques 606 $aTechnology & Engineering / Mechanical$2bisacsh 610 $aEngineering. 610 $aMathematics. 610 $aPhysics. 610 $afast Fourier transforms, digital filters, FIR, statistical DSP, applications. 610 $az-transform, frequency analysis, discrete. 615 0$aSignal processing$xDigital techniques. 615 7$aTechnology & Engineering / Mechanical. 676 $a621.3822 700 $aAnand$b R.$01688947 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910807864803321 996 $aDigital Signal Processing$94063588 997 $aUNINA