qtdecomp

这是我用matlab编写的一个解不定方程的程序，已经测试通过。该程序使用了比较多的技巧，对于matlab的爱好者可能有所帮助(I used Matlab to prepare a solution of indeterminate equations procedures have the test. The procedure used a lot more skills, Matlab lovers might be helpful)

迭代算法反演雷达海浪图形的反演算法，可得到各种海流参数(Radar waves graphic iterative algorithm inversion inversion algorithm parameters obtained various currents)

我们将五个连续时间信号转换成离散时间信号(we change five continuous signals into discrete signal. )

地震剖面图的显示程序，使用matlab编写 ！(Seismic profile display program, the use of matlab !)

vedio maker from the plot

mfcc algorithm this useful for analysis signal it s important feature

Simulink书籍，非常适合初学者，是很好的入门书籍！(Simulink books, very suitable for beginners, is a good entry-books!)

cdma2000的编码器关于 turbo码编码器2个子程序(cdma2000 encoder on turbo coding for two sub-procedures)

在机械故障中，对包含故障频率的某一段频率进行细化分析，从而得到更准确地故障频率(In mechanical failure, the failure frequency contains a section for detailed frequency analysis to obtain a more accurate fault frequencies)

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.)