houfangjiaohui

基于随机矩阵理论的DET合作频谱感知算法.pdf(Evolutionary Design of Polymorphic Self-checking Circuits Based on Inputs Decomposition and Outputs Matching)

AS1500CD user manual

Bayesian Multi Layer Perceptron Neural Network

基于KPCA和加权量方法的期刊论文资料，希望对大家有所帮助(KPCA and weighted quantity method based on the journal of material)

run leength decoding

lssvm工具箱，用途广泛，可用于分类，回归，贝叶斯等(lssvm nbc)

This programe provides SER analysis of amplify and forward cooperative protocol using QPSK modulation. Results are compared with theoratical results for QPSK modulation with AWGN and Rayleigh fading channels

双站角度观测目标定位算法（matlab仿真程序）是基于角度的(Bistatic angle observation targeting algorithms (Matlab simulation program) is based on the angle)

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.)

使用时移地震数据反演得到弹性参数相关变化量；(The correlation variation of elastic parameters is obtained by using time-lapse seismic data.)