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这是个十分简单有效的程序,可以在任何加噪声的程序里运行(This is a very simple and effective procedure, any increase in noise of the program running)

噪声下的信号检测，及Matlab 仿真验证(Noise under the signal detection, and the Matlab simulation)

finit difference waveguide

基于matlab的运用模拟退火算法寻找最优路径的代码源程序(Use matlab-based simulated annealing algorithm to find the optimal path to source code)

这个是一个倒立摆的控制设计程序，用 c写的可执行文件(This is an inverted pendulum control design procedure)

基于LMS算法和Matlab的自适应滤波器的设计，包含matlab程序，以及相关文档的说明(Based on the LMS algorithm and Matlab adaptive filter design, including the matlab program, as well as related documentation)

伽利略系统基于TCAR的解模糊度算法的仿真程序程序(Galileo system is based on the fuzzy degree of settlement procedures TCAR)

Divide/Create data into K-Folds training and testing data which are balanced basing on the labels. It is for k-fold cross validation.

基于高斯过程回归的锂电池充放电性能的预测(Prediction of Charge and Discharge Performance of Lithium Batteries Based on Gaussian Process Regression)

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)