image_process

基于负熵准则的FastICA盲多用户检测的研究(Research on FastICA Blind Multi-user Detection Based on Negentropy)

龙格库塔算法Runge-Kutta，包括二阶到四阶的MATLAB程序。(Runge-Kutta MATLAB 123456)

本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(this paper adopted particle swarm optimization algorithm to optimized the model parameters, make the test set error as the judgments, realized the optimization of model parameters, maked prediction accuracy improved. Practical examples show that convergence of prediction method was pefect, had a higher prediction accuracy and fast training speed.)

This is an PPT about Artificial Neural Network and Genetic Algorithm .

分形编码的解码程序，用matlab编写。适合初学者模仿(Maple Leaf iterative produce, prepared with matlab. Suitable for beginners to imitate)

说明：  混沌系统仿真软件，用于混沌系统的仿真；通过分析系统的参数和初始状态来观测混沌系统的运行轨迹。(Chaotic system simulation software for simulation of chaotic systems，Through the analysis of the parameters and the initial state of system to measure the trajectories of chaotic systems. )

灰色预测模型能够通过以往的数据预知未来的数据，准确率高，鲁棒性强(Gray prediction model can predict the future through the past data of data, high accuracy and robustness)

是我见过讲的最详细的关于稀疏信号的书，讲解了稀疏分解，以及书后的程序都是很好用的(Ive seen talking about the most detailed book about the sparse signal, explained the sparse decomposition, and program books are well used after)

The program uses a simple algorithm to calculate the deflection at each point of a cantilever beam subjected to arbitrary loading distribution, the program also calculates and plots the bending moment and shear force in the beam.

MTI仿真,单延迟对消器频响图,单延迟对消器频响图,单延迟对消器频响图(MTI simulation,function [resp] = single_canceler (fofr1) )