Fitting--interpolation

张德丰基于MATLAB的系统分析与设计——小波分析+范例源码；详细介绍包括小波分析工具箱的的使用（范例代码），小波去噪，图像压缩，并范例实现。另外还有小波包分析技术的理论及应用(Zhang Defeng MATLAB-Based System Analysis and Design- wavelet analysis+ example source details, including the use of wavelet analysis toolbox (sample code), wavelet denoising, image compression, and examples of implementation. There is also the theory of wavelet packet analysis and application)

Program: Lognormal Distribution Simulation Histograms C3

Matlab基本指令大全，入门必会指令！(Matlab basic commands Daquan, entry will be instructed!)

farraw filter matlab simulation(farrow filter matlab simulation)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

自己写的，模式识别最近邻算法实现，配有IRIS数据集，非常实用(Their own writing, pattern recognition, nearest neighbor algorithm, with IRIS data set, very useful)

说明：  对输入的一有理Z变换表达式（输入分子和分母系数序列），分别画出： （1）零极点图 （2）z在单位圆上时z变换所对应的DTFT的幅度谱和相位谱 （3）逆z变换所得序列，在各种不同的收敛域下（包括了右边序列，左边序列和双边序列的情况） (the importation of a rational expression Z-transform (input coefficient of the numerator and the denominator sequence), respectively paint : (1) The pole-zero plan (2) z in the unit circle at z transform the X corresponding to the amplitude spectrum and phase spectrum (3) Inverse z transform sequences derived from the convergence of various jurisdictions (including the right sequence, the sequence of the left and bilateral series))

M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the I and Q symbols modulate these carriers. The I and Q carriers are combined and time and frequency domain plots are provided showing key waveforms at various positions in the QPSK transmitter. (M-file for simulating a QPSK transmitter b y modulating with a pseudo random bit stream. A s erial to parallel conversion of the pseudo rand om bit stream is performed with mapping of two bi ts per symbol. A cosine and sine carrier is CBMs gured and the I and Q symbols Modulate these CARR IERS. The I and Q carriers are combined and a time nd frequency domain plots are provided showing key waveforms at various positions in the QPSK t ransmitter.)

A New Approach for Congestion Management via Optimal Location of FACTS Devices in

sine wave generation in matlab and ccs