fx_nihe

mplab使用指导,中文版本 ，快速掌握开发环境(MPLAB to use the guide, the Chinese version, rapid development environment master)

Matlab program to plot the data acquired from the USB (and placed into a TXT file) for the NIA device (Neuro impulse Actuator)

采用基于模型的设计，利用Simulink对TMS320F2812自动生成流水灯程序，给正在学习MBD的朋友一个例子。(This LED Model can generate the C code for TMS320F2812.If you are learning MBD,Maybe it will help.)

Before running this example, you should modify your TRNSYS DLL to include Type155 and the required Matlab libraries, as described in the Type155

光子晶体matlab程序，有图像表示！比较长；可以仔细研究！(Photonic crystals matlab program, have images that!)

实现各种信号的数字信号的调制识别,基于高阶累积量个神经网络(Digital recognition)

光通信中归零型（占空比可调）差分相位调制信号建模与仿真分析(Optical Communication zero type (duty cycle adjustable) differential phase modulation signal modeling and simulation analysis)

阻尼系数的非线性估计，用于估计伴随未知定值阻尼和已知重力情况下的垂直系统(Nonlinear estimation of damping coefficient；This would be an appropriate model for a VERTICAL mass-spring system with UNKNOWN constant damping and known gravity forcing.)

基本粒子群优化算法Matlab源程序，下面是主函数的源程序(Particle Swarm Optimization Algorithm Matlab source code, the following is the main function of the source)

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. )