Meyer-Baese, U. ed.
Digital Signal Processing with Field Programmable Gate Arrays 3rd ed.
書き換え可能なゲートアレイ（FPGA)によるデジタル信号処理 第３版
Springer-Verlag 2008.2
774 pp.(H)
ISBN 3-540-72612-8
13,800円
Contents
Part.1. Introduction: 1.1 Overview of Digital Signal Processing (DSP)/ 1.2 FPGA Technology/ 1.3 DSP Technology Requirements/ 1.4 Design Implementation/ Exercises/ Part.2. Computer Arithmetic: 2.1 Introduction/ 2.2 Number Representation/ 2.3 Binary Adders/ 2.4 Binary Multipliers/ 2.5 Binary Dividers/ 2.6 Floating-Point Arithmetic Implementation/ 2.7 Multiply-Accumulator (MAC) and Sum of Product (SOP)/ 2.8 Computation of Special Functions Using CORDIC/ 2.9 Computation of Special Functions using MAC Calls/ Exercises/ Part.3. Finite Impulse Response (FIR) Digital Filters: 3.1 Digital Filters/ 3.2 FIR Theory/ 3.3 Designing FIR Filters/ 3.4 Constant Coefficient FIR Design/ Exercises/ Part.4. Infinite Impulse Response (IIR) Digital Filters: 4.1 IIR Theory/ 4.2 IIR Coefficient Computation/ 4.3 IIR Filter Implementation/ 4.4 Fast IIR Filter/ Exercises/ Part.5. Multirate Signal Processing: 5.1 Decimation and Interpolation/ 5.2 Polyphase Decomposition/ 5.3 Hogenauer CIC Filters/ 5.4 Multistage Decimator/ 5.5 Frequency-Sampling Filters as Bandpass Decimators/ 5.6 Design of Arbitrary Sampling Rate Converters/ 5.7 Filter Banks/ 5.8 Wavelets/ Exercises/ Part.6. Fourier Transforms: 6.1 The Discrete Fourier Transform Algorithms/ 6.2 The Fast Fourier Transform (FFT) Algorithms/ 6.3 Fourier-Related Transforms/ Exercises/ Part.7. Advanced Topics: 7.1 Rectangular and Number Theoretic Transforms (NTTs)/ 7.2 Error Control and Cryptography/ 7.3 Modulation and Demodulation/ Exercises/ Part.8. Adaptive Filters: 8.1 Application of Adaptive Filter/ 8.2 Optimum Estimation Techniques/ 8.3 The WidrowﾐHoff Least Mean Square Algorithm/ 8.4 Transform Domain LMS Algorithms/ 8.5 Implementation of the LMS Algorithm/ 8.6 Recursive Least Square Algorithms/ 8.7 Comparison of LMS and RLS Parameters/ Exercises/ Part.9. Microprocessor Design: 9.1 History of Microprocessors/ 9.2 Instruction Set Design/ 9.3 Software Tools/ 9.4 FPGA Microprocessor Cores/ 9.5 Case Studies/ Exercises/ References/ A. Verilog Source Code 2001/ B. VHDL and Verilog Coding: B.1 List of Examples/ B.2 Library of Parameterized Modules (LPM)/ C. Glossary/ D. CD-ROM File: "1readme.ps" / Index/
* Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing as novel FPGA families are replacing ASICs and PDSPs for front-end digital signal processing algorithms. So the efficient implementation of these algorithms is critical and is the main goal of this book. *
Breebaart, J. & Faller , C.
Spatial Audio Processing
MPEG Surround and Other Applications
（空間オーディオ処理）
John Wiley & Sons 2008.1
224 pp.(H)
ISBN 0-470-03350-9
14,300円
Contents
1. Introduction/ 2. Background/ 3. Spatial Hearing/ 4. Spatial Audio Coding/ 5. Parametric Stereo/ 6. MPEG Surround/ 7. Binaural Cues for a Single Sound Source/ 8. Binaural Cues for Multiple Sound Sources/ 9. Audio Coding with Mixing Flexibility at the Decoder Side/ 10. Multi-loudspeaker Playback of Stereo Signals/ Frequently Used terms, Abbreviations and Notation/ Bibliography/ Index/
* This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of advanced entertainment, communications and signal processing applications.
* Until recently, technologies for coding audio signals, such as redundancy reduction and sophisticated source and receiver models did not incorporate spatial characteristics of source and receiving ends. Spatial audio coding achieves much higher compression ratios than conventional coders. It does this by representing multi-channel audio signals as a downmix signal plus side information that describes the perceptually-relevant spatial information. *
Vaseghi , S. V.
Multimedia Signal Processing
Theory and Applications in Speech, Music and Communications
（マルチメディアの信号処理）
John Wiley & Sons 2007.12
680 pp.(H)
ISBN 0-470-06201-0
16,100円
Contents
Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters. Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction hidden Markov models and independent component analysis.ﾊ Part 3: Applications of Signal Processing in Speech, Music and Telecommunications explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing.
* Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making, control systems and search engines. *
Duman, T. M. & Ghrayeb , A.
Coding for MIMO Communication Systems
MIMO通信システムの符号化
John Wiley & Sons 2008.1
366 pp.(H)
ISBN 0-470-02809-2
15,400円
Contents
1. Overview/ 2. Fading Channels and Diversity Techniques/ 3. Capacity and Information Rates of MIMO Channels/ 4. Space-Time Block Codes/ 5. Space-Time Trellis Codes/ 6. Layered Space-Time Codes/ 7. Concatenated Codes and Iterative Decoding/ 8. Unitary and Differential Space-Time Codes/ 9. Space-Time Coding for Frequency Selective Fading Channels/ 10. Practical Issues in MIMO Communications/ 11. Antenna Selection for MIMO Systems/ Bibliography/ Index/
* Coding for MIMO Communication Systems is a comprehensive introduction and overview to the various emerging coding techniques developed for MIMO communication systems. The basics of wireless communications and fundamental issues of MIMO channel capacity are introduced and the space-time block and trellis coding techniques are covered in detail. Other signaling schemes for MIMO channels are also considered, including spatial multiplexing, concatenated coding and iterative decoding for MIMO systems, and space-time coding for non-coherent MIMO channels. *
Dumitrescu, B.
Positive Trigonometric Polynomials and Signal Processing Applications
Springer-Verlag 2007.5
241 pp. (H)
ISBN 1-4020-5124-7
12,000円
Contents
1. Positive polynomials ; Types of polynomials. Positive polynomials. Toeplitz positivity conditions. Positivity on an interval. Details and other facts. Bibliographical and historical notes. 2. Gram matrix representation ; Parameterization of trigonometric polynomials. Optimization using the trace parameterization. Toeplitz quadratic optimization. Duality. Kalman-Yakubovich-Popov lemma. Spectral factorization from a Gram matrix. Parameterization of real polynomials. Choosing the right basis. Interpolation representations. Mixed representations. Fast algorithms. Details and other facts. Bibliographical and historical notes. 3. Multivariate polynomials ; Multivariate polynomials. Sum-of-squares multivariate polynomials. Sum-of-squares of real polynomials. Gram matrices of trigonometric polynomials. Sum-of-squares relaxations. Gram matrices from partial bases. Gram matrices of real multivariate polynomials. Pairs of relaxations. The Gram pair parameterization. Polynomials with matrix coefficients. Details and other facts. Bibliographical and historical notes. 4. Polynomials positive on domains ; Real polynomials positive on compact domains. Polynomials positive on frequency domains. Bounded Real Lemma. Positivstellensatz. Details and other facts. Bibliographical and historical notes. 5. Design of FIR filters ; Design of FIR filters. 5.2 Design of 2-D FIR filters. 5.3 FIR deconvolution. 5.4 Bibliographical and historical notes. 6. Orthogonal filterbanks ; Two-channel filterbanks. Signal-adapted wavelets. GDFT modulated filterbanks. Bibliographical and historical notes. 7. Stability ; Multidimensional stability tests. Robust stability. Convex stability domains. Bibliographical and historical notes. 8. Design of IIR filters ; Magnitude design of IIR filters. Approximate linear-phase designs. 2D IIR filter design. Bibliographical and historical notes. Appendix A: semidefinite programming. Appendix B: spectral factorization. References. *
* Positive and sum-of-squares polynomials have received a special interest in the latest decade, due to their connections with semidefinite programming. Thus, efficient optimization methods can be employed to solve diverse problems involving polynomials. This book gathers the main recent results on positive trigonometric polynomials within a unitary framework; the theoretical results are obtained partly from the general theory of real polynomials, partly from self-sustained developments. The optimization applications cover a field different from that of real polynomials, mainly in signal processing problems: design of 1-D and 2-D FIR or IIR filters, design of orthogonal filterbanks and wavelets, stability of multidimensional discrete-time systems. Positive Trigonometric Polynomials and Signal Processing Applications�Ahas two parts: theory and applications. The theory of sum-of-squares trigonometric polynomials is presented unitarily based on the concept of Gram matrix (extended to Gram pair or Gram set). The presentation starts by giving the main results for univariate polynomials, which are later extended and generalized for multivariate polynomials. The applications part is organized as a collection of related problems that use systematically the theoretical results. All the problems are brought to a semidefinite programming form, ready to be solved with algorithms freely available, like those from the library SeDuMi. *
Walker, J. S. ed.
A Primer on Wavelets and Their Scientific Applications 2nd ed.
CRC Press 2008.2
320 pp.(P)
ISBN 1-58488-745-1
5,800円
Contents
1.Haar Wavelets/ 2.Daubechies Wavelets/ 3.Two-Dimensional Wavelets/ 4.Frequency Analysis/ 5.Beyond Wavelets/ 6.Software for Wavelet Analysis/ Index/
* In the first edition of his seminal introduction to wavelets, James S. Walker informed us that the potential applications for wavelets were virtually unlimited. Since that time thousands of published papers have proven him true, while also necessitating the creation of a new edition of his bestselling primer. Updated and fully revised to include the latest developments, this second edition of A Primer on Wavelets and Their Scientific Applications guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications. *
Vasudevan, K.
Digital Communication and Signal Processing
CRC Press 2008.1
304 pp.(H)
ISBN 1-4200-6811-3
11,600円
Contents
Part.1:Communicating with Points: Coherent Detectors for Two-Dimensional Constellations/ Coherent Detectors for Multidimensional Orthogonal Constellations/ Bi-Orthogonal Constellations/ Simplex Constellations/ Noncoherent Detectors for Multidimensional Orthogonal Constellations/ Noncoherent Detectors for M-ary PSK/ Coherent Detectors in Colored Noise/ Coherent Detectors for Frequency Nonselective (Flat) Fading Channels/ Summary/ Part.2:Channel Coding: Introduction/ The Convolutional Encoder/ Are the Encoded Symbols Correlated?/ Hard-Decision Decoding of Convolutional Codes/ Soft-Decision Decoding of Convolutional Codes/ Trellis Coded Modulation (TCM)/ Maximization of the Shape Gain/ Constellation Shaping by Shell Mapping/ Turbo Codes/ Summary/ Transmission of Signals Through Distortionless Channels/ Linear Modulation/ Nonlinear Modulation/ Summary/ Transmission of Signals Through Distorting Channels/ Receivers Based on Equalization/ Receivers Based on Maximum Likelihood Sequence Estimation (MLSE)/ Multicarrier Communication/ Summary/ Appendices/ Index/ *
144-93 登録日 08.04.04
