①直接利用DFT计算:复乘次数为N2,复加次数为N(N-1)利用FT计算:复乘次数为og:n复加次数为log:解

(1)x(n)是有限长序列,且长度为M。与 Fourier换和z变换不同,n仅定义在o,m-1]的整数区间上; (2)变换核为W=eN,将时域序列x(n)变换为频域序列X(k)

2.1引言 2.2序列的 Fourier变换

1.2时域离散信号 1.概念:时间离散,幅值连续的信号。又可称为序列。从数学描述的角度定义,即可以用数字序列:

1. Digital Signal Processing基本概念 2.DSP发展筒史 3.DSP的新兴分支

18.1 Special Architectures Pipelining. Parallel Processing. Retiming. Unfolding. ia Folding Transformation Look-Ahead Technique. Associativity Transformation. Distributivity Arithmetic Processor Architectures. Computer-Aided Design. Future VLSI DSP Systems Keshab K. Parhi 18.2 Signal Processing Chips and Applications University of Minnesota System. Implementation of a Finite Impulse Response Filter with Rulph Chassaing the TMS320C25. Floating-Point TMS320C30-Based Development Roger Williams University

17.1 Digital Image Processing Image Capture. Point Operations Image Enhancement. Digital Purdue University Image Compression. Reconstruction. Edge Detection.Analysis Charles A.Bouman and Computer Vision Purdue University 17.2 Video Signal Processing Sampling. Quantization. Vector Quantization.Video Sarah A. Rajala Compression Informatin Preserving Coders.Predictive North Carolina State University Coding. Motion-Compensated Predictive Coding- Transform Coding. Subband Coding HDTV. Motion Estimation N.K.Bose

16.1 Spectral Analysis State University of New York Historical Perspective. Modern Spectral Analysis at Buffalo 16.2 Parameter Estimation Dimitri Kazakos Louisiana Estimation Schemes 16.3 Kalman Filtering Fred Daum Kalman Filter Equations.Kalman Filter Examples.Extended Kalman Raytheon Company

Yariv Ephraim ATeT Bell Laboratories George Mason University Jesse W.Fussell General Approaches. Model Adaptation. Analysis-by-Synthesis. Department of Defense Particular Implementations. Speech Quality and Intelligibility Standardiza Variable Rate Coding. Summary and Conclusions Lynn D. Wilcox FX Palo Alto Lab

14.1 Fourier Transforms Introduction. The Classical Fourier Transform for CT Signals. ion of CT Periodic Signals.Generalized T Fourier Transform.Relationship e Fourier Transform 14.2 Fou er Transform lationship to the Finite Time W. Kenneth Jenkins University of Illinois Amplitude,and Phase Alexander D. Poularikas