nuvola

说明：  目标匹配经典特征shape context的Matlab源码！(The source code of the shape context!)

离散系统的时域分析以及用MATLAB实现。(Discrete systems with time-domain analysis using MATLAB.)

各种PID控制算法的MATLAB源程序，可以结合相应的指导书学习(various PID control algorithm MATLAB source, combining the corresponding study guide book)

this file compute lagg on arrays

FIR低通滤波器的编程实现，针对的是一维信号处理(The FIR low pass filter for programming is one dimensional signal processing)

永磁同步电机加减速控制，电控部分，飞轮储能(Permanent magnet synchronous motor rotor acceleration and deceleration control)

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )

This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be signi辌antly reduced. Chattering can also be reduced by fuzzy tuning of the controller parameters

用Admas四阶预估-校正算法的PECE模式求下列初值问题的数值解，步长h=0.1。(with Adams estimated four bands- correction algorithm PECE following initial model for the numerical solution of the problem, Step-h = 0.1.)

Convolution code codigo de convolucion