proposals

变学习因子粒子群算法，来自于《精通MATLAB最优化计算》(pso with variant learning factor)

说明：  太阳能光伏电池的matlab/simulink 仿真模型，通过编辑s函数实现，可以对光伏特性进行仿真(Solar photovoltaic cells matlab/simulink simulation model, by editing the s function implementation, you can simulate the characteristics of PV)

mimo－ofdm系统仿真，matlab源程序(mimo- ofdm system simulation, Matlab source)

matlab work of matrix converter.......................

matlab概率论与数理统计WORD文档(matlab Probability Theory and Mathematical Statistics WORD document)

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AWGN信道的OFDM仿真程序，欢迎下载参考相互学习！(Based on the AWGN channel OFDM simulation program are welcome to download a reference to learn from each other!)

A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation. This function produces a matrix of arbitrary dimension of symbolic elements that are indexed by their position in the symbolic matrix for ease of reference. EXAMPLE >> M = symMat([2 2], m , real ) M = [ m11, m12] [ m21, m22] >> class(M) ans = sym >> det(M) ans = m11*m22 - m12*m21

此程序为matlab程序，用于频率估计。程序包含了rife算法和M-rife算法，并对两种算法进行了比较分析。(This program is a matlab program, used for frequency estimation. The program contains the the rife algorithm and the M-the rife algorithm, and the two algorithms were compared and analyzed.)

固定端点打开旅行商问题的遗传算法，MATLAB设计(The fixed endpoint open the traveling salesman problem genetic algorithm, MATLAB design)