LP.m

Simulation for DC Motor selection. It includes two files, which are DCMotor_Trj.m and DCMotor.mdl. First of all, you run the DCMotor_Trj.m for generating the reference trajectory. Then, you open the Simulink file(DCMotor.mdl) and run! You may change DC Motor parameters.

Matlab Hankel变换源代码，可以直接当做MATLAB toolbox来使用( MATLAB toolbox ________________________________________________________ Hankel transform ________________________________________________________ ** Contents 1. Introduction 2. Requirements 3. Implementation details 4. References 5. Copyright 6. Warranty 7. History 8. Download 9. Trademarks ** Publisher Marcel Leutenegger marcel.leutenegger@epfl.ch EPFL STI IOA LOB BM 4.143 Tel: +41 21 693 77 19 Station 17 CH-1015 Lausanne 1. Introduction The Hankel transform of order n transforms rotationally symetric inputs in a computationally efficient manner. In particular, the Hankel transform of order 0 is equivalent to the two-dimensional Fourier transform of a rotationally symetric input. This package contains four implementations of the Hankel transform and the inverse Hankel transform, respectively. 2. Requirements ?MATLAB 6.0 or newer. 3. Implementation details The package ships fou)

基本的调制解调程序集，包括BPSK,QPSK,QAM,GMSK等(basic modulation and demodulation process scripts, including BPSK, QPSK, QAM, and GMSK etc.)

关于matlab编程的书，介绍了条件控制，循环语句，结构，对象，调试与计时等，适合初学者。(Matlab programming on the book, describes the condition of control loop, structure, object, debugging and timing, etc., suitable for beginners.)

802.15.4仿真IEEE802_15_4_Matlab-master

冈萨雷斯的数字图像处理（matlab）第二版，中译本，非常实用的教材(Gonzalez, Digital Image Processing (matlab) second edition, in translation, very useful materials)

matlab file to get the effect of rayleigh fading

Online identify the plant dynamic by using intelligent architecture, here using RBF Neural network for the plant.

matlab 冈萨雷斯数字图像处理 中值 均值 滤波(digital image processing matlab Gonzalez median average filtering)

—Compilation of musical instrument sample s requires careful elimination of badly recorded samples and validation of sample classification into correct categories. This paper introduces algorithms for automatic removal of bad instrument samples using Automatic Musical Instrument Recognition and Outlier Detection techniques.