数字信号处理学科是随着半导体器件和计算机技术的发展而出现的，它将数字或符号表示的序列，通过计算机或专用的硬件处理设备，用数字的方式去处理，以得到人们所要求的信号形式。例如，对信号滤波，选择了信号的有用分量，而抑制了无用分量；或是估计信号的特征参数。总之，数字信号处理的内容丰富多彩，凡是用数字的方式对信号进行滤波、变换、估计、识别等，都是数字信号处理的研究对象。 1.1模拟信号的数字化处理过程 1.2 数字信号处理系统具有的特点 1.3 数字信号处理涉及的主要内容 1.4 数字信号处理的框架结构

延安大学：《数字信号处理》课程PPT教学课件（DigitalSignal Processing，DSP）Chapter 4 Fast Fourier Transform（FFT）（演示版）

延安大学：《数字信号处理》课程PPT教学课件（DigitalSignal Processing，DSP）Chapter 8 多采样率数字信号处理（演示版）

• Allpass Filter • Comb Filter • Minimum-Phase and Maximum-Phase

MATLAB® is a high-level language that includes matrix-based data structures, its own internal data types, an extensive catalog of functions, an environment in which to develop your own functions and scripts, the ability to import and export to many types of data files, object-oriented programming capabilities, and interfaces to external technologies such as COM, Java, programs written in C and Fortran, and serial port devices

延安大学：《数字信号处理》课程PPT教学课件（DigitalSignal Processing，DSP）Chapter 7 FIR Digital Filter Design

延安大学：《数字信号处理》课程PPT教学课件（DigitalSignal Processing，DSP）Chapter 6 IIR Digital Filter Design

Introduce Network Representation with Signal Flow-Graph Basic IIR System Structures Basic FIR System Structures Linear Phase Structures Frequency Sample

延安大学：《数字信号处理》课程PPT教学课件（DigitalSignal Processing，DSP）Chapter 3 Finite-Length Discrete Transforms（DFT）

2.1 The Continuous-Time Fourier Transform 2.2 The Discrete-Time Fourier transform 2.3 the discrete-time periodic sequences in the frequency-domain 2.4 Relationship of DTFT and FT 2.5 Z-Transform