shangbiao

method of false position with Aitken s D2-method

采集的加速度信号积分为速度信号和位移信号，好用的程序( Realize the change from acceleration signalto displacement signal or speed signal, Integration program easy to use)

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.)

实现了高斯白噪声的信道模型，提供了相关的源代码(realize the model of a signal path)

说明：  星载多波束天线容量计算 考虑非理性功率控制(Capacity multi-beam satellite antenna power control calculations take into account non-rational)

Finite Element Method Boundary Element Method有限元法和边界元法(Finite Element Method Boundary Element Me thod finite element method and boundary element method)

基于matlab的地震傅式谱编写程序，很有用的一个程序。(Fuh-based seismic spectrum matlab programming, a very useful program.)

对归一化后的RGB图片空间转化为hsi空间,hsi三分量也是归一化后的值,范围都是在0-1之间.(On the normalized RGB image space after hsi into space, hsi is also a three-component normalized values are in the range between 0-1.)

对lena.map先分块处理，然后做cs变换，观测矩阵用随机高斯矩阵，重构算法用l1算法(On lena.map first block processed, and then do cs transform, random Gaussian matrix with the observation matrix, reconstruction algorithm algorithm using l1)

EM算法求高斯过程的参数,这种算法的计算过程简单，但是准确度不高(EM algorithm for getting the parameters of Gaussian process, this computation is simple, but accuracy is not high)