markov-processes

一个阵列信号处理中的基本MUSIC算法DOA估计(An array of signal processing algorithms basic MUSIC DOA Estimation)

说明：  灰色预测模型的matlab算法实现，可以进行较为长期的预测(use matlab to solve gm problem)

此为进行独立成分分析(ICA)的matlab代码，盲源分离(BSS)是指在不知源信号和传输通道的参数的情况下，根据输入源信号的统计特性，仅由观测信号恢复出源信号各个独立成分的过程。这一过程又称为独立成分分析(ICA)。(This is the independent component analysis (ICA) of the matlab code, Blind Source Separation (BSS) is not knowing the source signal and transmission channel parameters, according to the statistical characteristics of the input signal, only the observation signal to restore the source signal The process of each individual component. This process is also known as Independent Component Analysis (ICA).)

Duda的《模式分类》第二版的配套的Matlab源代码，非常完整(Duda s pattern classification of matching the second edition of the Matlab source code, very complete)

The Kalman filter is a mathematical power tool that is playing an increasingly important role in computer graphics as we include sensing of the real world in our systems. The good news is you don’t have to be a mathematical genius to understand and effectively use Kalman filters. This tutorial is designed to provide developers of graphical systems with a basic understanding of this important mathematical tool.

说明：   用Hough变换进行曲线、直线等的参数提取(With the Hough transform curve, straight line extraction, etc.)

用混沌理论和广义回归神经网络进行短期负荷的预测，取得了满意的效果(with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results)

基于matlab 的ofdm 通信系统的建模仿真。包括 为有效传输所需的各种技术的实现！(Based on the matlab ofdm communication system modeling and simulation. Including the effective transfer of technologies needed to achieve!)

实现一维和二维分世界傅里叶变换，含有对LFM信号的实例仿真。(Realization of one and two dimensional Fourier transform divided world, contain instances of LFM signal simulation.)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，原始数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the original data and the graph, the study is very worthwhile.)