SIFT_matlabe1

kock fractal drawing

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)

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the percentage of deviation (P), Integral (I) and differential (D) control of PID controller (also known as PID regulators) is the most widely used of an automatic controller.)

Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.

窄带信号基于最小估计长度和最大似然估计的信号数目及波达方向的联合估计(Narrowband signals based on the number of signal joint estimate minimum and maximum likelihood estimate of the length and direction of arrival estimation)

自学Matlab必备的个小程序代码，里面有十来个，需要的下载，能够方便一点(Small program code, which must self-Matlab dozen need to download, convenience)

this code is used for processing all the directory

这是 Andrew Ng 机器学习讲义《Reinforcement Learning and Control》,包含了离散和连续MDP的内容，比官网的课件全。（官网的缺乏连续MDP部分）(This is Andrew Ng Machine Learning Materials " Reinforcement Learning and Control" , contains a discrete and continuous MDP content than the official website of the courseware whole. (Official website of the lack of continuous MDP section))

基于模糊算法的倒立摆控制的matlab仿真源程序(Inverted pendulum fuzzy control algorithm matlab simulation source based)

计算各种技术指标的测试程序。给出任意一个技术指标的信号发生量，将计算出相应的净值，胜率，盈亏比，持仓时间等。(Calculate the test procedures for a variety of technical indicators. Given the amount of any technical indicators signal generation, will calculate the corresponding net, winning percentage, profit and loss ratio, positions time.)