matlab7.0_statistical_information_processing

Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化(Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters)

matlab中的数值微分，有用中点公式，自适应法，理查森外推算法等方法求函数的导数，算法的程序实现在文件中都已经给出了。(in the numerical differentiation matlab, useful midpoint formula, adaptive method, Richardson extrapolation methods such as France seek the derivative of the function, the algorithm of the program implementation in the document have been given.)

如何计算矩阵数据的协方差矩阵。还有在什么情况下只能计算均值、方差，而不能计算协方差，什么情下，只能计算协方差，但不能计算协方差矩阵。(How to calculate the matrix data covariance matrix. And under what circumstances can only calculation mean, variance, and not calculation covariance, what feeling, can only calculation covariance, but not calculation covariance matrix.)

通过改进获得一种量子行为的粒子群优化算法，并将该算法应用于某机组的燃烧控制系统的建模研究，获得不同工况下的传递函数形式的系统模型。(Obtain a quantum behavior improved particle swarm optimization algorithm, and the algorithm is applied to the model building of a unit combustion control system, access to system transfer function of the model under different conditions.)

美国伊利诺伊大学MaYi博士做的广义PCA算法的源代码(Complete rewrite of the test_gpca function to use the generalized data generation function instead.)

MUSIC算法MATLAB程序，可用于阵列信号处理。(MUSIC algorithm MATLAB procedures, can be used in array signal processing.)

可以用此程序进行电动汽车接入配电网的蒙特卡洛模拟(Monte Carlo simulation for electric vehicle to distribution network)

在matlab的开发环境中，对图像进行RGB到RLab的转换(The development environment in matlab for image conversion of RGB to RLab)

PHASE SHIFT KEING MODULATION TECHNIQUE FOR COMMUNICATION

信号与系统软件实验工具箱，本系统包括七个实验，分别是：信号的时域基本运算、连续信号的卷积与连续时间系统的时域分析、离散信号的卷积与离散时间系统的时域分析、信号的频域分析、连续信号的采样与恢复、系统的频域分析、信号的幅度调制与解调。为了加强学生的计算机编程能力和应用能力，所有实验均提供设计性实验内容，让学生参与编程。本系统既可作为教师教学的实验演示，又可作为学生动手实验的实验系统。(Signals and Systems Software experimental toolbox, the system includes seven experiments, namely: basic operations signals in time domain, the convolution of continuous signals and continuous-time system time domain analysis, convolution of discrete signals and discrete-time systems when domain analysis, frequency domain signal analysis, continuous signal sampling and recovery, system frequency domain analysis, signal amplitude modulation and demodulation. In order to strengthen the student s computer programming skills and ability to provide all the experiments were designed experiment content, allowing students to participate in programming. This system can be used as experimental demonstration of teaching, but also as a student hands-on experiments the experimental system.)