Upload_EZW128

包含三维obj格式的模型，并用matlab读取并显示，程序可用。(Contains a three-dimensional model of obj format, using matlab read and display, the program is available.)

Genetic Algorithm for Function Optimization

PPP is used in frequency division duplex to solve Interference Issue. a Poisson point process is a particular kind of random process by which a set of isolated points are scattered about a line or a plane or a three-dimensional space or any of various other sorts of spaces. Often the term Poisson process is used to mean a Poisson point process in which the space in which isolated points are randomly scattered is a line, which in many applications represents time.

说明：  希尔伯特黄变换，用EMD将信号分解成本征模态函数，对分解的IMF分量进行hilbert变换(Hilbert Huang transform (HHT), EMD is used to decompose the signal into the cost eigenmode function, and the decomposed IMF component is transformed by Hilbert transform)

一个端点检测程序，用matlab编写。endpoint detection(an endpoint detection procedures, using Matlab prepared. Endpoint detection)

说明：  8. 单径瑞利信道中的四发四收V-BLAST： (1) 请设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量16QAM调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线。 (4 Explain the working principle of convolutional encoding and decoding. Please use the Simulink simulation convolutional coding and Viterbi decoding method used to decode, in which the encoding, decoding all 8 single-path Rayleigh channel of the four rounds of four closed V-BLAST: (1) Please design a specific The guide-assisted channel estimation method, using Simulink for simulation, measurement 16QAM modulation bit error rate performance. Draw-bit signal to noise ratio and channel estimation mean square error curve, draw-bit signal to noise ratio and bit error rate curve.)

JPEG matlab code each and every function commented

SIMULINK中自抗扰控制技术自定义模块库的创建。包括模块创建，程序等。(SIMULINK ADRC control create custom module library. Module creates procedures.)

帧间差分法，用于判断露点仪的镜面是否结露。(zhen jian cha fen)

机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等(Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.)