LEADER 04838nam 2200697 450 001 9910820918403321 005 20230807221020.0 010 $a1-119-11311-3 010 $a1-119-04607-6 010 $a1-119-04608-4 035 $a(CKB)3710000000444123 035 $a(EBL)2090103 035 $a(SSID)ssj0001530509 035 $a(PQKBManifestationID)12589512 035 $a(PQKBTitleCode)TC0001530509 035 $a(PQKBWorkID)11532005 035 $a(PQKB)11593145 035 $a(PQKBManifestationID)16049246 035 $a(PQKB)24167324 035 $a(MiAaPQ)EBC4040762 035 $a(MiAaPQ)EBC2090103 035 $a(DLC) 2015030464 035 $a(Au-PeEL)EBL4040762 035 $a(CaPaEBR)ebr11113850 035 $a(CaONFJC)MIL812252 035 $a(OCoLC)915775227 035 $a(EXLCZ)993710000000444123 100 $a20151104h20152015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDiscrete wavelet transform $ea signal processing approach /$fD. Sundararajan 210 1$aHoboken, New Jersey :$cWiley,$d2015. 210 4$dİ2015 215 $a1 online resource (340 p.) 300 $aDescription based upon print version of record. 311 $a1-119-04606-8 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Preface; List of Abbreviations; Chapter 1 Introduction; 1.1 The Organization of This Book; Chapter 2 Signals; 2.1 Signal Classifications; 2.1.1 Periodic and Aperiodic Signals; 2.1.2 Even and Odd Signals; 2.1.3 Energy Signals; 2.1.4 Causal and Noncausal Signals; 2.2 Basic Signals; 2.2.1 Unit-Impulse Signal; 2.2.2 Unit-Step Signal; 2.2.3 The Sinusoid; 2.3 The Sampling Theorem and the Aliasing Effect; 2.4 Signal Operations; 2.4.1 Time Shifting; 2.4.2 Time Reversal; 2.4.3 Time Scaling; 2.5 Summary; Exercises; Chapter 3 Convolution and Correlation 327 $a3.1 Convolution 3.1.1 The Linear Convolution; 3.1.2 Properties of Convolution; 3.1.3 The Periodic Convolution; 3.1.4 The Border Problem; 3.1.5 Convolution in the DWT; 3.2 Correlation; 3.2.1 The Linear Correlation; 3.2.2 Correlation and Fourier Analysis; 3.2.3 Correlation in the DWT; 3.3 Summary; Exercises; Chapter 4 Fourier Analysis of Discrete Signals; 4.1 Transform Analysis; 4.2 The Discrete Fourier Transform; 4.2.1 Parseval's Theorem; 4.3 The Discrete-Time Fourier Transform; 4.3.1 Convolution; 4.3.2 Convolution in the DWT; 4.3.3 Correlation; 4.3.4 Correlation in the DWT 327 $a4.3.5 Time Expansion 4.3.6 Sampling Theorem; 4.3.7 Parseval's Theorem; 4.4 Approximation of the DTFT; 4.5 The Fourier Transform; 4.6 Summary; Exercises; Chapter 5 The z-Transform; 5.1 The z-Transform; 5.2 Properties of the z-Transform; 5.2.1 Linearity; 5.2.2 Time Shift of a Sequence; 5.2.3 Convolution; 5.3 Summary; Exercises; Chapter 6 Finite Impulse Response Filters; 6.1 Characterization; 6.1.1 Ideal Lowpass Filters; 6.1.2 Ideal Highpass Filters; 6.1.3 Ideal Bandpass Filters; 6.2 Linear Phase Response; 6.2.1 Even-Symmetric FIR Filters with Odd Number of Coefficients 327 $a6.2.2 Even-Symmetric FIR Filters with Even Number of Coefficients 6.3 Summary; Exercises; Chapter 7 Multirate Digital Signal Processing; 7.1 Decimation; 7.1.1 Downsampling in the Frequency-Domain; 7.1.2 Downsampling Followed by Filtering; 7.2 Interpolation; 7.2.1 Upsampling in the Frequency-Domain; 7.2.2 Filtering Followed by Upsampling; 7.3 Two-Channel Filter Bank; 7.3.1 Perfect Reconstruction Conditions; 7.4 Polyphase Form of the Two-Channel Filter Bank; 7.4.1 Decimation; 7.4.2 Interpolation; 7.4.3 Polyphase Form of the Filter Bank; 7.5 Summary; Exercises 327 $aChapter 8 The Haar Discrete Wavelet Transform 8.1 Introduction; 8.1.1 Signal Representation; 8.1.2 The Wavelet Transform Concept; 8.1.3 Fourier and Wavelet Transform Analyses; 8.1.4 Time-Frequency Domain; 8.2 The Haar Discrete Wavelet Transform; 8.2.1 The Haar DWT and the 2-Point DFT; 8.2.2 The Haar Transform Matrix; 8.3 The Time-Frequency Plane; 8.4 Wavelets from the Filter Coefficients; 8.4.1 Two Scale Relations; 8.5 The 2-D Haar Discrete Wavelet Transform; 8.6 Discontinuity Detection; 8.7 Summary; Exercises; Chapter 9 Orthogonal Filter Banks; 9.1 Haar Filter; 9.2 Daubechies Filter 327 $a9.3 Orthogonality Conditions 606 $aWavelets (Mathematics) 606 $aSignal processing 606 $aGeometric tomography 615 0$aWavelets (Mathematics) 615 0$aSignal processing. 615 0$aGeometric tomography. 676 $a515/.2433 700 $aSundararajan$b D.$0909958 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820918403321 996 $aDiscrete wavelet transform$93924311 997 $aUNINA LEADER 03103nam 22004935 450 001 9911015628703321 005 20250711104757.0 010 $a3-031-89417-0 024 7 $a10.1007/978-3-031-89417-6 035 $a(MiAaPQ)EBC32205999 035 $a(Au-PeEL)EBL32205999 035 $a(CKB)39625696600041 035 $a(DE-He213)978-3-031-89417-6 035 $a(EXLCZ)9939625696600041 100 $a20250710d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHistorical Industrial Buildings and their Real Estate Utilisation $eComparison between Germany and the United Kingdom /$fby Robin Groer, Patrick J. Morrissey, Thomas Glatte 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer Vieweg,$d2025. 215 $a1 online resource (110 pages) 225 1 $aStudien zum nachhaltigen Bauen und Wirtschaften,$x2731-3131 311 08$a3-031-89416-2 327 $a1. Introduction -- 2. Explanation and Fundamental Principles -- 3. Research Design -- 4. Results Presentation from the Interviews -- 5. Discussion of the Conducted Research -- 6. Summary and Conclusion. 330 $aBoth Germany and the United Kingdom have economically vital cities and peripheral locations that contain historic industrial structures or districts. This prompts the question of how to manage historic industrial buildings, and how they can be preserved to maintain their value while simultaneously benefiting future generations. This book focuses on the potential and redevelopment opportunities of historical industrial buildings. While on the one hand, these historical industrial buildings reflect culturally significant buildings and sites deserving of appreciation and hence preservation, on the other hand, they are frequently situated in promising and fascinating locations that could represent significant possibilities for urban development and neighborhood planning. This publication is part of the series Studien zum nachhaltigen Bauen und Wirtschaften. The Authors Robin Groer, B.A. Real Estate Management, Fresenius University of Applied Sciences, Heidelberg Patrick J. Morrissey, Principal & Managing Director Avison Young Prof. Dr. Thomas Glatte is Chairman of the Management Board of Immobiliengruppe Rhein-Neckar and Professor of Real Estate Management, Fresenius University of Applied Sciences, Heidelberg. 410 0$aStudien zum nachhaltigen Bauen und Wirtschaften,$x2731-3131 606 $aConstruction industry$xManagement 606 $aConstruction Management 615 0$aConstruction industry$xManagement. 615 14$aConstruction Management. 676 $a690.06 700 $aGroer$b Robin$01833326 701 $aMorrissey$b Patrick J$01833327 701 $aGlatte$b Thomas$01226769 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015628703321 996 $aHistorical Industrial Buildings and Their Real Estate Utilisation$94408272 997 $aUNINA