ACATSP

模糊PID控制程序，用于模糊自整定PID控制算法的实现(Fuzzy PID control procedures for the fuzzy self-tuning PID control algorithm to achieve)

说明：  matlab编程语言学习资料，课件可以帮助你很快学到matlab编程技巧，及平时注意事项(matlab programming language learning materials, courseware can help you quickly learn matlab programming skills, and the usual precautions)

calcola fitting febbre

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)

说明：  用六种算子(分别是gabor、拉普拉斯、priwitt、robert、sobel、wallis),对三种图象进行边缘检测比较(Six operators (Gabor, Laplacian, priwitt, Robert, Sobel and Wallis) are used to detect and compare the edge of three kinds of images)

ＭＩＭＯ－ＯＦＤＭ系统仿真，包括了接收端与发射端的分集，各种复用技术(MIMO-OFDM system simulation, including a receiver and transmitter sub-sets, a variety of multiplexing)

projected coordinate systems

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel, often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) method for electronic dispersion equalizer, overcome the optical fiber communication in a variety of dispersion caused by intersymbol interference. Research Based on the maximum likelihood sequence estimation (MLSE) equalizer, using the Vitby algorithm, the performance index using MLSE after matlab simulation (eye diagram and bit error rate) promotion.)

梯度下降法优化函数，包括回溯搜索法和精确直线法(Gradient descent method to optimize the function, including backtracking search method and precise line method)

说明：  《小波十讲》（TenLecturesonWavelets）是一本世界范围公认的经典学术名著，是当代数学著作中一本影响巨大的绝妙好书。书中包含了20世纪80年代以来世界上有关小波分析的最先进成果，也包含Daubechies本人关于紧支撑小波的卓越成就。(&quot Ten Lectures on Wavelets&quot (TenLecturesonWavelets) is a worldwide recognized classic academic works, works of contemporary mathematics a tremendous impact on the wonderful books. The book contains 80 since the 20th century the world' s most advanced achievements of wavelet analysis is also included on the compactly supported Daubechies wavelet my achievements.)