adaptive-control

采用M语言编写的图像处理工具箱，内容丰富，设计了WINDOWS下的界面操作，对读者十分方便(M language using the image processing toolbox, rich in content and design of the interface under WINDOWS operation is very convenient for readers)

Spectral analysis. Analysis, signal coding and voice synthesis in Matlab

MATLAB Code for MMSE Algorithm

Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio.

快速傅氏变换的简单实现，可进行快速频谱分析(Simple implementation of the fast Fourier transform, fast spectrum analysis)

利用moravec兴趣算子提取图像的点特征，matlab编写(Moravec interest operator to use the image point feature extraction, matlab prepared)

瑞利分布 使用matlab处理瑞利分布 简单明了(Rayleigh distribution with Rayleigh distribution deal with simple matlab)

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)

MATLAB软件对不同发射天线、不同接收天线、不同信噪比下的MIMO系统容量进行仿真，得出在不增加带宽和天线发送功率的情况下利用MIMO信道成倍地提高无线信道容量(MATLAB software for different antennas, different antenna, different SNR of the MIMO system capacity for simulation, obtained without increasing the bandwidth and the antenna transmit power where the use of MIMO channels to improve wireless channel capacity multiplied)

matcont is a Matlab continuation package with a GUI for the in- teractive numerical study of parameterized nonlinear ODEs. It allows to compute curves of equilibria, limit points, Hopf points, branch points of equilibria, limit cycles, fold, flip, torus and branch point bifurcation points of limit cycles, and homoclinic orbits. matcont can start these computations from equilibria or periodic orbits computed by time inte- gration and it can monitor user-defined functions and locate their roots along computed curves. matcont can compute all necessary derivatives by finite differences, from file or by using the symbolic toolbox of Mat- lab. In this tutorial we describe a numerical study of a chemical model of Steinmetz and Larter where a user function is monitored, a stable periodic orbit is started from time integration and bifurcations of periodic orbits are detected and continued.