DWT

这是关于用MATLAB实现遗传算法程序的原理介绍，包括也选择、交叉、变异等算子的程序。(This is about using MATLAB genetic algorithm program to achieve the principle of description, including also selection, crossover and mutation operators of the program.)

matlab编程实现-陈显毅 教材配套每一章节的代码(matlab realize)

digital image filter

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

说明：  用matlab进行通信过程中基带信号通过系统传输的模拟(describe a signal in fundamental frequency band transmit through a system with the matlab language)

最大似然法德matlab仿真程序，用在ofdm系统中很好！！！与大家一起享用(Maximum Likelihood France and Germany Matlab simulation program used in ofdm system good! ! ! Together with everyone to enjoy!)

本代码主要是势均衡多目标多伯努利滤波器的扩展卡尔曼（EKF）实现，能有效的解决杂波环境下的多目标跟踪，本代码能够正常运行。( 您是不是要找： 本代码主要是食均衡多目标多伯努利滤波器的扩展卡尔曼(EKF)实现,能有效的解决杂波环境下的多目标跟踪,本代码能够正常运行。 This code is mainly balanced multi-objective multi-bonuli potential extended Kalman filter (EKF) to achieve, can effectively solve the multi-target tracking in clutter, the code to run properly.)

Matlab有关于garch的源代码，内含几个M文件，包括估计、滤波、预报等。(It is the source code of garch by Matlab, which contains several M files, including estimation, filtering, prediction, etc.)

在doa估计中最小均方误差的算子，在自适应滤波中有相关的应用(Doa estimation minimum mean square error of the operator, adaptive filtering application)

Article of Algorithm to Power Flow: A Compensation-Based Power Flow Method.