Abaqus-Matlab-Connection

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

这是一部分析非平稳信号的相关书籍，含有很多种分析方法，主要有时频分析方法和应用及相关例子(This is an analysis of non-stationary signals of books, containing a variety of analytical methods, main frequency analysis method and application examples sometimes)

用小波把语音分为清浊两个音，要自己改语音文件地址，会产生两个文件，效果一般(Wavelet Qingzhuo the voice is divided into two sound files to their own voice to address, will produce two documents, the effect of general)

Maximum likelihood estimation for stbc system

artificial intelligence

This Matlab script finds the frequency offset effects in the orthogonal frequency division multiplexing (OFDM)and its effects on the bit error rate (BER). A reference paper is also included.

matlab通讯原理的应用，适合初学者学习，很详细，还不错的咯。。(matlab communication principle, suitable for beginners to learn, in great detail, pretty good slightly. .)

包含了一个运行良好的蚁群算法，采用了自衰减的蚁周改良(Contains a well-ant colony algorithm, using ant from the decay of the Week improved)

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

windowed fourier transform for fringe analysis