3-D-FDTD-code-with-PEC-boundaries

用matlab编写的最大方差法计算灰度分割门限代码，用该函数实现利用灰度阈值分割图像的功能。(Written by matlab calculate the maximum variance threshold gray code split, with the functions for image segmentation using gray scale features.)

case 30 spot price in matlab

dq transformation for filters..it s very good example..

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.)

chu序列的同步应用，用于帧同步，提取数据起点(Application of Chu sequence for synchronization, frame synchronization, data extraction point)

说明：  matlab 书籍 帮你实现你的梦想(matlab books to help you achieve your dreams)

说明：  一基于子空间方法的盲信道估计程序，有英文解释。(a space-based method for the blind channel estimation procedures, English explained.)

本程序旨在于解决用遗传算法解决多目标优化问题，同时加深对简单遗传算法的了解并进一步理解(The program aims to use genetic algorithm to solve multi-objective optimization problems, while deepening the understanding of the simple genetic algorithm and further understanding of)

SVD滤波方法，主要是通过对信号进行奇异值分解，将噪声部分的值归零，再进行信号的重构，顺利地进行滤波。(SVD filtering method, mainly through singular value decomposition of the signal, the noise part of the value of zero, and then signal reconstruction, smoothly filtering.)

Denoising can be done using this m files