envi_hdf5

基于Matlab的数字锁相环的仿真设计，一篇毕业论文，对数字和模拟锁相环进行了详细的分析和仿真(Matlab-based simulation of digital PLL design, a thesis on digital and analog phase-locked loop for a detailed analysis and simulation)

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

FTF自适应算法的MATLAB仿真，包括模型构建、算法流程仿真，以及性能仿真(MATLAB FTF)

总体经验模态分解（EEMD）的程序，适合初学者学习。(Overall empirical mode decomposition (EEMD) procedures, suitable for beginners to learn.)

一些实用的lingo小程序，可以在数学建模中实用(some lingo programs)

模糊控制PID在SIMULINK中的实现与具体操作细节(fuzzy control)

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.)

这个是各种孔和缝的夫琅禾费衍射的源代码，希望有用。(This is a variety of hole and slit Fraunhofer diffraction of the source code, I hope useful.)

基于Skyline的c#编程5——ObjectMovements(c# program based on Skyline 5)

说明：  matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)