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simulating center location(simulation)

MATLAB 7和Simulink英文简介(Introducing the MATLAB & Simulink)

BPSK基带传输系统的MATLAB仿真 实现了主要模块二进制信息源输入，BPSK调制，发射滤波器，接收滤波器，采样，均衡，信号检测，BPSK解调，信息还原输出，产生BER曲线图。 (failed to translate)

Runge–Kutta algorithm with matlab

本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉； 单点变异，浮点变异；(The SGA can optimize the variables, find minimum, maximum (when the function is also seeking the minimum reciprocal friends) and support for floating-point encoding, grey code, binary code roulette method selection, tournament selection single point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation )

一种适用于多自由度的自然激励技术，可以实现从随机响应信号中提取自由振动信号。(A multi-degree of freedom for the natural excitation technique, can extract from the random response signal free vibration signals.)

说明：  bpsk仿真中间有两个方面的内容，很好的仿真软件(There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. )

分树形GUI,此文件包括frac_treeGUI和FRAC两个文件(Sub-tree GUI, this document includes two documents frac_treeGUI and FRAC)

this source code is useful to do cdma simulation in awgn channel..

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)