PA1-start-Matlab

一个使用matlab实现进化博弈过程仿真实验的例子(This function uses ES to optimize a function f(x_1,...,x_n). There are a set of 55 test functions to check the effectiveness of the algorithm when optimizing functions. Feel free to leave comments, corrections or suggestions. Read the comments in the code for more information and bibliography used in the development of this code.)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  用Jacobi和Gauss-seidel方法解方程组。并比较迭代次数，是误差小于10E-3(Use of Jacobi and Gauss-seidel method to solve equations. And compare the number of iterations is less than 10E-3 error)

五元十字阵的目标被动声定位算法仿真，给出目标方位角估计精度、俯仰角估计精度及距离估计精度，以及目标测向和测距的精度(Five-goal cross array orientation algorithm for passive acoustic simulation)

Fast Chebyshev transform

2兆瓦异步双馈风力发电系统的建模与仿真，包含个子模块。pitch信号自己添加。。(2 MW doubly fed induction wind power system modeling and simulation, including the sub-modules. pitch signal to add their own. .)

特性、相空间特性、倍周期分岔特性、Lyapunov 指数、Feigenbaum 第一常数等，表明它具有良 好的混沌特性.(The phase space characteristics, characteristics, the period-doubling bifurcation characteristics and Lyapunov index, the constant Feigenbaum, indicates that it has good etcGood chaos characteristics.)

This is a good implementation of brain cancer on matlab

关于脉冲压缩的matlab函数实现以及脉冲压缩的回波示意图(Echo schematic diagram of pulse compression matlab function to achieve pulse compression)

介绍了什么是函数文件及如何编写函数文件等等(What is the function of the document describes how to write functions and files, etc.)