pso

classification using MLP with GUi

实现 NL_means 算法，用来去噪。并赋带使用例子和实验结果。(Achieve NL_means algorithm to de-noising. And endowed with the use of examples and experimental results.)

Simulation model of Wind energy system used in modelling of renewable hybrid energy power system using wind turbines

卷积码编码及其维特比译码matlab实现(Convolutional coding and Viterbi decoding matlab implementation)

基于MATLAB的OFDM系统仿真及性能分析，比较实用(MATLAB based on the OFDM system simulation and performance analysis, more practical)

说明：  对给出的两个声音信号文件进行频谱分析，两个声音信号文件进行时域分析和频谱分析的matlab程序(露 脭 赂 酶 鲁 枚渭脛脕 陆 赂 枚脡霉脪么脨脜 潞 脜脦脛 录 镁 陆 酶脨脨脝渭脝 脳 脰脦枚 拢 卢 脕 陆 赂 枚脡霉脪么脨脜 潞 脜脦脛 录 镁 陆 酶脨脨脢 卤 脫貌 脰脦枚 潞 脥脝渭脝 脳 脰脦枚渭脛matlab 鲁 脤脨貌)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

形成一个余弦调制波形，用于调制波形，具有非常重要的意义(Form a cosine wave modulation for modulation waveform, has great significance)

蚁群算法在matlab下优化10个函数的方法。其中函数有单变量多峰值，单变量单峰值的，也有多变量多峰值的函数。(Ant colony algorithm in matlab optimization function 10. Which a single variable and multi-peak function, the single peak of a single variable, but also more variable multi-peak function.)

Matlab for SMVQ 邊緣配對的向量編碼技術 (Matlab for SMVQ side match vector quantization)