FIRfilters

matlab读取压电式脉搏传感器数据，并发送至串行助手程序(matlab read piezoelectric the pulse sensor data, and sent to the serial assistant program)

stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。(Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.)

关于捕鱼策略的matlab小程序，是竞赛中见到的问题(About fishing strategy matlab small procedures, the problem is seen in competition)

这个Matlab程序是关于OFDM调制的。这里使用了BPSK调制，显示OFDM在误码率上的下降。(This Matlab program is about OFDM modulation. Here the use of BPSK modulation, show the OFDM at BER on the decline.)

互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有 (Mutual information matlab, chaotic time series analysis and forecast Version1.0 point toolbox here to download: Chaotic Time Series Analysis and Forecast of the toolbox Version1.0chaotic time series analysis and prediction matlab toolbox- version 1.01, the kit includes a chaotic time series analysis with the projected common method, there are)

power_xfosaturable,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_xfosaturable, matlab simulation files, power electronics, power electronics control valuable debugging through)

产生指定长度的S-rand interleaver序列的程序 (produce S-rand interleaver )

EEMD用于信号处理，将复杂信号分解为多个IMFS,可用于弱信号的监测(Ensemble Empirical Mode Decomposition )

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

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