wolfe_powell

基于人工鱼群算法的投影寻踪模型通用MATLAB源码(Artificial fish-swarm algorithm based on Projection Pursuit Model GM MATLAB source)

实现离散卷积的源代码 里面集成了可运行的全部代码(Discrete convolution code realization)

说明：  基于局部傅里叶变换数据的重构算法的研究,是一种比有效快速的重构算法(New features: Switched to complex computation, fully compatible with complex data Replaced penalty parameter continuation by R. Glowinski and P.L. Tallec s alternating direction method (ADM or ADMM) New parameter/data normalization was added to make parameters rather independent of the image size, pixel intensity range, and number of CS measurements. To find the parameters aTV and aL1 for version 2.0 corresponding to those used in versions 1.1 or 1.0, see Lines 60, 66, and 67 of RecPF.m. )

project in matlab about polyonyms

code for improved Euler method by using MATLAB program

使用混沌与分形分析的例程，多姿态，多角度，有不同光照,多抽样率信号处理，包含优化类的几个简单示例程序，MIMO OFDM matlab仿真,本程序的性能已经达到较高水平。( Use Chaos and fractal analysis routines, Much posture, multi-angle, have different light, Multirate signal processing, Optimization class contains several simple sample programs, MIMO OFDM matlab simulation, The performance of the program has reached a high level.)

matlab期末作业，用matlab绘制的一个三维立方体图形(matlab end of the job, matlab drawing of a three-dimensional cube graph)

2013年研究生数学建模比赛某题目使用的高斯扩散模型(In 2013 the Graduate School of mathematical modeling competition a subject using the Gauss diffusion model)

说明：  GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼，如alpha，beta，delta和omega，用于模拟领导层次结构。此外，实施狩猎，搜寻猎物，环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括：发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization. Compression packages include: published papers, optimization algorithm code, optimization toolbox.)

说明：  Singular Spectrum Decomposition，即奇异谱分析，广泛应用于信号识别与预测。(Singular Spectrum Decomposition)