integrated video navigation field matlab code

Learning for a Robot Locating a Point On a Line A machine learning program which learn to locating a robot at a predefined point on a straight line. Code is implemented in MATLAB 6.5.

matlab俄罗斯方块程序，，非常真实的界面，MATLAB_GUI设计多多学习(Tetris matlab procedures, very real interface, MATLAB_GUI design a lot to learn)

kalman滤波的基本原理，在飞行器轨迹预测方面的应用，非常有用(The basic principle of the kalman filter in aircraft trajectory prediction application, is very useful)

本文介绍了一种广义的理论混合杆机的操作 （MPM的）。该MPM有两个定子绕组，即主要以极对P1和绕组 在控制极对P2绕组。该MPM显露才华的可调领域 变速驱动器为大型机器和风能发电领域。This paper introduces a generalized theory for the operation of mixed pole machines(MPMs). The MPM has two stator windings, namely the main winding with pole pairs P1 andthe control winding with pole pairs P2. The MPM has shown promise in the field of adjustablespeed drives for large machines and in the field of wind energy electrical generation.

怎样运用各种各样的抛出的方法。在这个例子这个你就可以学习到这个异常的抛出(How to use a variety of throw method. In this example, you can learn from this to this exception is thrown)

Huffman code in matlab

Introduction du matlab et simulink

MATLAB交通元胞自动机示例，适合初学者学习(MATLAB CA traffic model)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

MatlabR2006a基础教程:Matlab教材课件+源代码 (MatlabR2006a Essentials: Matlab courseware materials+ Source code)