PSO-image-segment

电力系统分析工具箱(PSAT)的最新版本2.1.8，并且含有它的中文说明书，可以进行潮流、最优潮流、时域仿真等一系列计算(Power System Analysis Toolbox (PSAT) the latest version 2.1.8, and contains its Chinese manual, the trend can be, optimal power flow, and a series of time-domain simulation calculation)

Matlab仿真程序，介绍了数据的程序结构、运用和算法设计。(Matlab simulation program, introduced procedures for data structure, application and algorithm design.)

1.了解离散傅立叶变换及离散余弦变换的基本原理； 2.掌握进行FFT及逆变换的方法； 3.了解图像在频域中处理方法，应用MATLAB语言作简单的低通滤波器。 (1. Understand the discrete Fourier transform and discrete cosine transform the basic principle; 2. master for FFT and inverse transform; 3. understanding of image processing in the frequency domain method, MATLAB language for simple low-pass filter.)

matlab simulation sinus sinosoidal_triangular_carrier_regular_asymmetrica Graphical Interface Num Root Inports Num Root Outports

a good book on numerical pde and its miles !

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)

实现互双谱法进行时延差估计的函数。有详细使用说明。(Time-delay estimation using cross-cumulant method with detailed usage.)

802.11b phy simulink model仿真，基于matlab对wifi重要指标测试(802.11b phy simulink model simulation, based on the matlab test an important indicator of wifi)

This set of files enables working more easily with functions of functions for concise and powerful code. A few highlights of this way of working: * Map multiple inputs to multiple functions and assign multiple outputs with a single line. * Use conditionals (like "if"), loops, and recursion in anonymous functions.

本程序实现不用对数据进行2抽取和2插值的快速小波分解,只需对滤波器进行2插值即 可，所以不要求数据的长度为2的幂次方，共分解了3次，然后进行了重构！！！(This procedure achieved without the data extraction and 2 Fast 2 interpolation wavelet decomposition, only 2 of the interpolation filter that can be, so the data length does not require a power of 2, a total break down three times, then refactored! ! !)