MatlabMusic

自己编的一个用随机行走法实现电路计算的例子，电路图及参数均在Partial random walk for large linear network analysis里(Own a random walk method used to achieve circuit examples, circuit diagrams and parameters in the Partial random walk for large linear network analysis in)

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)

Matlab code that has an exercise about signals processing.

主要实现了不同图像模型间的转换和彩色补偿,完全是通过matlab实现.(Main achieved the conversion between different image model and color compensation, entirely through matlab.)

channel estimation of ofdm using pilot based

这是一个的10Mb文件 这是演示版本的SIGTOOL软件包。 它没有完整的文件导入功能或速度的完整版本sigTOOL (this is a 10Mb file THIS IS A DEMO VERSION OF THE SIGTOOL SOFTWARE PACKAGE. It does not have the complete range of file import functions or speed of the full version of sigTOOL. )

实现常用线路码型AMI（RZ）码的波形和功率谱密度的仿真。(achieve common line code-AMI (RZ) code and the waveform of the power spectral density of simulation.)

MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].

some matlab codes for image processing

MATLAB中调用Wrapper.cpp的程序的应用 (MATLAB, the application of the procedure call Wrapper.cpp)