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很实用的，模糊PID控制算法，MATLAB程序，仿真效果很好(PID control MATLAB programme)

该代码可在matlab6.0版本以上运行,实际上是bp算法的改进.(err)

完整的以最速下降法，牛顿迭代法，二分法求解非线性方程的Matlab程序源代码，含GUI界面，简洁明了，可对每种算法绘制收敛曲线，计算求解精度。(the completely matlab source code for equation solving by adapting steepest descent method,newton method, binary divided method,graphics user interface applied,simply and explicit, congevence curve s painted,and the precision is computed.)

Método de multiplicación simplificada para calcular la intensidad de campo en un receptor.

Microwave Guide Mode Simulatot

UN PROGRAMM DE BRUSHLESS DC MOTOR IN M FILE PART 1

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)

AQUILA is a MATLAB toolbox for the one- or twodimensional simulation of ％the electronic properties of GaAs/AlGaAs semiconductor ％nanostructures. (AQUILA is a MATLAB toolbox for the one- or tw odimensional simulation of the electronic pr% operties of GaAs/AlGaAs semiconductor% nanos tructures.)

omp算法代码，实现图像处理的好算法，很适合自己做测试。(omp algorithm code, realize image processing algorithms, it is suitable to do their own testing.)

程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)