pid

the source is in the "Applied Numerical Methods Using MATLAB-Won Young Yang, Wenwu Cao, Tae-Sang Chung, John Morris-Wiley-Interscience (2005)"

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.)

小波和希尔伯特两种算法对同一个信号进行处理后的比较，(It is about the wt and hilbert transform for the same signal)

基于GA和MP的音频信号稀疏分解,用matlab实现(GA and MP based on sparse decomposition of audio signals using matlab implementation)

matlab GUI for 3d data viewer

Double_Polarity_IGBT_Bridges.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(Double_Polarity_IGBT_Bridges.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

电力系统仿真建模需要的模型，可以适合智能电网，分布式发电,PWM 控制(power system modeling control smart grid stability)

identify circles in a image binary by method houghcircles

应用变量变化模拟非线性方程组均衡过程，其中参数可变，方程组可变，方程组的解用各种图像表示(Variable changes apply equalization process simulation of nonlinear equations, where the parameter variable, variable equations, solution of equations represented by the various images)

遗传算法无功优化，小波包分析提取振动信号中的特征频率，插值与拟合的matlab实现。( Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency, Interpolation and fitting matlab implementation.)