jiediandaona_2

基于matlab/simulink的异步电机直接转矩控制，仿真运行正常。(Based on matlab/simulink asynchronous motor direct torque control, simulation run correctly.)

GPS信号的matlab捕获跟踪仿真程序，包含CA码生成、捕获、跟踪等模块，对这方面的学习急剧参考价值(Matlab GPS signal acquisition and tracking simulation program, including the CA code generation, acquisition, tracking and other modules, this aspect of learning a sharp reference value)

经典英文书籍PREDICTIVE CONTROL WITH CONSTRAINTS的MATLAB源代码(Model predictive control is an indispensable part of industrial control engineering and is increasingly the "method of choice" for advanced control applications. Jan Maciejowski s book provides a systematic and comprehensive course on predictive control suitable for final year students and professional engineers. The first book to cover constrained predictive control, the text reflects the true use of the topic in industry.)

一个关于遗传算法解决函数优化的例子被编辑成gui界面 。(Genetic code)

说明：  预测控制程序实用 仅供参考。希望对大家有用，(Predictive control utility for reference only. We hope useful,)

simple way to implement pca for beginner

this is the use of fouriee in stablish wavelet mother wavevs with gausian wavelet.

数字信号处理第十章 FIR滤波器的设计 代码实现(Digital Signal Processing Chapter FIR filter design code)

is matlab source code to optimize some cost function

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)