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本书全面系统地介绍了DSP芯片的基本原理、开发和应用。首先，介绍了目前广泛使用的DSP 芯片的基本结构和特征，定点和浮点DSP处理中的一些关键问题。然后，对用C 语言和MATLAB 语言进行DSP算法的模拟进行了介绍。(This book a comprehensive and systematic introduction to the basic principles of DSP chips, the development and application. First of all, on current DSP chips are widely used in the basic structure and characteristics of fixed-point and floating-point DSP to deal with some of the key issues. Then, using C language and MATLAB language for DSP algorithm simulation are introduced.)

说明：  对数据进行多小波分解比传统的经验模态分解效果更好(The multi wavelet decomposition is better than the traditional empirical mode decomposition)

通过对基4快速傅里叶的介绍，使用matlab实现了基4快速傅里叶变化(Through the radix-4 Fast Fourier presentation, using matlab to achieve a base four fast Fourier transform)

vmd分解程序，修改版，可以用于处理实测振动信号。(vmd decomposition process, a modified version can be used for processing the measured vibration signal.)

Here the code which is help you to find the minutiae in fingerprint

ctrllab3.1 (ctrllab3.1 )

用于混沌时间序列自适应预测的一种稀疏Volterra滤波器-(Adaptive prediction of chaotic time series for a sparse Volterra filter-)

用平面波展开法计算二维声子晶体带隙,能量谱分析计算,合成孔径雷达（SAR)目标成像仿真。( Computation Method D phononic bandgap plane wave, Energy spectrum analysis and calculation, Synthetic Aperture Radar (SAR) imaging simulation target.)

说明：  processing and database for sar images

语音信号的频谱分析,包括采样语音的FFT变换,及倒频谱分析.(Speech signal spectrum analysis, including FFT, voice samples, and cepstrum analysis.)