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活动轮廓模型中的iac模型，集合侧地线和无边缘活动轮廓模型的一种。(Active contour model iac model, a collection of geodesics and the active contour model without edges a.)

介绍matlab在控制过程中的应用。They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems.(Matlab introduction in the control process applications. They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems.)

Matlab code for LPC analysis

本代码可不用借助其他工具直接对光子晶体光纤的色散等直接计算，对学习pcf的朋友很有帮助！(This code can be without the help of other tools directly on the photonic crystal fiber dispersion and other direct calculation, learning pcf helpful friends!)

多用户检测技术仿真实现，对性能进行严密的可视化实现(多用户检测技术仿真实现)

matlab 智能计算 算法 详细 (matlab suan fa xiang xi)

matlab simulation program for ASK

alcatel programa de lenjuage sencillo para celular

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)

This code is about Gabor convolution.