MM1

此为word版本的有关分形压缩的各项知识,有源码,还有word版本的文字知识,非常适合用于论文制作的素材.(This is the word fractal compression version of the relevant knowledge, source code, as well as knowledge of word version of the text is very suitable material for paper production.)

it is matlab code and is for systems and signals by porakis that is very good for all

光伏并网逆变系统电流电压双闭环控制，测试成功，绝对可用！(Photovoltaic inverter current and voltage double-loop control system, the test is successful, absolutely free!)

MATLAB7.x数字信号处理 光盘内容(Digital Signal Processing MATLAB7.x CD-ROM content)

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)

说明：  若锗中含有一定数量的杂质元素Sb，试根据要求分析杂质浓度与电离度以及电离温度之间的关系： （1）当Sb浓度分别为 和 时，计算杂质99％，90％和50％电离时的温度各为多少？ （2）根据一定杂质类型和杂质浓度，画出电离度和温度的关系图线，并确定半导体处于强电离区（电离度>90％）的温度范围。 设计要求：（1）具有友好输入输出界面； （2）调整输入数据，得出相应结果，并进行分析。 (If the germanium containing a certain number of impurity elements Sb, test analysis in accordance with the requirements of impurity concentration and ionization degree, as well as the relationship between the ionization temperature: (1) When the Sb concentration and time were calculated 99 percent of impurities, 90 and 50 ionization When the temperature of each number? (2) according to certain types of impurities and impurity concentration, ionization degree and temperature to draw the relationship between the graph lines, and to determine the semiconductor in a strong ionization zone (ionization degree)

用于确定分析蛋白质序列上编码区的一个程序，算法虽然有点过时，但还有些参考价值。(Is used to determine the protein sequence analysis of the coding region of a program, algorithm though a bit outdated, but some reference value.)

基于谢菲尔德大学的遗传算法的模拟退火算法(University of Sheffield, based on genetic algorithm simulated annealing algorithm)

小波包分析提取振动信号中的特征频率，ML法能够很好的估计信号的信噪比,利用自然梯度算法。( Wavelet packet analysis to extract vibration signal characteristic frequency, ML estimation method can be a good signal to noise ratio, Use of natural gradient algorithm.)

MATLAB function that performers delay and sum beamforming on two input signals in the frequency domain.