7 LTI Discrete-Time Systems in the Transform Domain 305
7.1 Transfer Function Classification Based on Magnitude Characteristics 305
7.2 Transfer Function Classification Based on Phase Characteristics 314
7.3 Types of Linear-Phase FIR Transfer Functions 321
7.4 Simple Digital Filters 332
7.5 Inverse Systems 349
7.6 Summary 353
7.7 Problems 354
7.8 MATLAB Exercises 368
8 Digital Filter Structures 371
8.1 Block Diagram Representation 372
8.2 Equivalent Structures 375
8.3 Basic FIR Digital Filter Structures 376
8.4 Basic IIR Digital Filter Structures 381
8.5 Realization of Basic Structures Using MATLAB 387
8.6 Allpass Filters 390
8.7 IIR Tapped Cascaded Lattice Structures 399
8.8 FIR Cascaded Lattice Structures 404
8.9 Summary 409
8.10 Problems 410
8.11 MATLAB Exercises 423
9 IIR Digital Filter Design 425
9.1 Preliminary Considerations 425
9.2 Bilinear TransformationMethod of IIR Filter Design 430
9.3 Design of Lowpass IIR Digital Filters 435
9.4 Design of Highpass, Bandpass, and Bandstop IIR Digital Filters 437
9.5 Spectral Transformations of IIR Filters 441
9.6 IIR Digital Filter Design Using MATLAB 448
9.7 Summary 451
9.8 Problems 451
9.9 MATLAB Exercises 457
10 FIR Digital Filter Design 459
10.1 Preliminary Considerations 459
10.2 FIR Filter Design Based on Windowed Fourier Series 463
10.3 Computer-Aided Design of Equiripple Linear-Phase FIR Filters 478
10.4 Design of Minimum-Phase FIR Filters 487
10.5 FIR Digital Filter Design Using MATLAB 488
10.6 Summary 504
10.7 Problems 505
10.8 MATLAB Exercises 512
11 DSP Algorithm Implementation 516
11.1 Basic Issues 516
11.2 Structure Simulation and Verification Using MATLAB 527
11.3 Computation of the Discrete Fourier Transform 534
11.4 Fast DFT Algorithms Based on Index Mapping 549
11.5 DFT and IDFT Computation Using MATLAB 557
11.6 Sliding Discrete Fourier Transform 559
11.7 DFT Computation over a Narrow Frequency Band 559
11.8 Summary 564
11.9 Problems 564
11.10 MATLAB Exercises 572
A Analog Lowpass Filter Design 575
A.1 Analog Filter Specifications 575
A.2 Butterworth Approximation 577
A.3 Chebyshev Approximation 579
A.4 Elliptic Approximation 582
A.5 Linear-Phase Approximation 583
A.6 Analog Filter Design Using MATLAB 584
A.7 Analog Lowpass Filter Design Examples 587
A.8 A Comparison of the Filter Types 589
A.9 Anti-Aliasing Filter Design 592
A.10 Reconstruction Filter Design 594
B Design of Analog Highpass, Bandpass, and Bandstop Filters 599
B.1 Analog Highpass Filter Design 599
B.2 Analog Bandpass Filter Design 601
B.3 Analog Bandstop Filter Design 604
Bibliography 605

数字信号处理:基于计算机的方法(第4版)(英文版)/(美)SANJIT K. MITRA 作者简介

Sanjit K. Mitra：美国南加州大学洛杉矶分校谢明电气工程学系的Stephen和Etta Varra教授，加州大学圣?巴巴拉分校电气与计算机工程系研究员。分别于1960年和1962年获得加州大学伯克利分校电气工程专业硕士学位和博士学位。曾以不同身份为IEEE服务，包括1986年IEEE电路与系统学会主席，1996年至1999年IEEE信号处理学会主席团成员。他在模拟与数字信号处理、图像处理领域发表了660多篇论文，出版了12本图书，并拥有5项专利。
Sanjit K. Mitra：美国南加州大学洛杉矶分校谢明电气工程学系的Stephen和Etta Varra教授，加州大学圣?巴巴拉分校电气与计算机工程系研究员。分别于1960年和1962年获得加州大学伯克利分校电气工程专业硕士学位和博士学位。曾以不同身份为IEEE服务，包括1986年IEEE电路与系统学会主席，1996年至1999年IEEE信号处理学会主席团成员。他在模拟与数字信号处理、图像处理领域发表了660多篇论文，出版了12本图书，并拥有5项专利。

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