Rayleigh

matlab function file.m-sequence, gold-sequence, crosscorrelation, autocorrelation.

伪随机数产生程序，MATLAB开发的源代码(Pseudo-random number generation program, MATLAB source code development)

介绍了原型滤波器的设计，并比较了不同混叠因子下滤波器的性能(this code include the design of the prototype filter,which is widely used in the multicarrier communication.we also compare the performance with different coefficient.)

分水岭分割在matlab下实现，希望大家多提意见。(watershed segmentation in Matlab achieve, we hope to do so.)

LCMV优化设计阵列处理信号，matlab程序运行时导入数据文件作为输入参数，合成孔径雷达（SAR)目标成像仿真。( LCMV optimization design array signal processing, Import data files as input parameters matlab program is running, Synthetic Aperture Radar (SAR) imaging simulation target.)

此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。(based on the second generation of this upgrade wavelet compression algorithm threshold source, which can set wavelet transform decomposition level, the use of wavelet name, threshold levels and set the formula for calculating the parameters. And low-frequency coefficients into hexadecimal facilitate its further compression, such as the Huffman compression. procedures ideas clearly, with the integrity of the Notes, you can use a variety of wavelet, and reflected very well in the second generation wavelet thinking, For beginners who wavelet of great help.)

JPEG2000 Standard for Image Compression Concepts, Algorithms and VLSI Architectures

matlab应用于数学认真阅读然后直到其具体功能(applied mathematics matlab read until its specific function and then)

dynamic of power system

This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.