ode_fit

good paper ieee for simulink in matlab

含有C_Primer_Plus_(第五版)_中文版另外还有C_Primer_Plus的读书笔记(Containing C_Primer_Plus_ (Fifth Edition) _ Chinese version Another C_Primer_Plus reading notes)

X波段低损耗高增益微带阵列天线设计(X-band low-loss high-gain microstrip array antenna design)

Matlab 图像数字水印 多媒体技术课程设计水印图像的嵌入和提取(Matlab image watermarking multimedia curriculum design watermark embedding and extraction)

有关所有模式识别的matlab程序 非常有用(For all of Pattern Recognition program is very useful matlab)

对线性调频信号的仿真分析，包括图像分析及实验程序(Linear FM signal simulation analysis, including image analysis and experimental procedures)

用simulink搭建的模型参考自适应系统(use simulink)

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.)

基于matlab的随机数的生成，包括其他调用的函数，(Random number generation based on MATLAB, including other call function )

图像网格的计算方法，包括快速算法，优于Normalized算法(Image grid computing, including fast algorithm, Normalized algorithm is superior)