test-particle-simulation-around-null

Main function for a GPIO imput

说明：  做傅立葉轉換並SHIFT 2階巴特沃斯 做週期性雜訊的處理(Fourier transform and SHIFT 2 do Butterworth deal to do periodic noise)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

matlab仿真程序，适合初学者，比较实用，可用性高。(matlab simulation program, suitable for beginners, more practical, high-availability.)

A matlab code to compute heat conduction

说明：  利用matlab语言和软件采用粒子群优化算法解决电力系统无功优化问题(Using MATLAB language and software to solve reactive power optimization problem in power system by particle swarm optimization)

基与matalab的编码程序 已经调试通过(coding)

模糊控制规则设计，仿真结果证明控制精度高(Design of fuzzy control rules, the simulation results show the high control accuracy)

基于滑膜观测器永磁同步电动机无速度传感器控制模型仿真(Based on the synovial observer speed sensorless control of permanent magnet synchronous motor model simulation)

利用主成分分析方法实现分类的Matlab源码分析(Principal component analysis Matlab source code analysis)