irntv

Matpower4.1：潮流计算与最优潮流(Matpower: flow calculation and optimal power flow)

基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)

he rational is simply to fit a mathematical model to the ISI distribution that includes a component to model the refractory period. If a neuron is well isolated, it must exhibit some refractory period. If instead, it is multi- unit, then it will exhibit instead something similar to a poisson process in which there is no refractory period, or at least large probability of inter-spike intervals at the shortest intervals.

matlab-基于小波变换的模极大值边缘检测(matlab- wavelet transform modulus maxima edge detection based on)

度量学习，2009年的文章和程序，LMNN,基于最优化方法的度量学习算法(Metric study of article in 2009 and procedures, LMNN, a measure of the optimization method based on learning algorithm)

这是一个利用MATLAB的GUI编的长直导线周围电磁场的可视化程序。(This GUI provides a visualization of the electromagnetic field induced by a current flowing in a straight wire. The tool also shows the current induced by a rectangular coil that is placed inside the electromagnetic field. The current is calculated using Ampere s Law and the Biot-Savart Law. This demo was created for educational demonstrations. The user can modify the size and position of the coil, as well as the resistance. The current waveform and magnitude can also be specified.)

物理层网络编码，也称为双向协同通信，采用的是BPSK加差分调制，主要分析系统的BER曲线(Physical layer network coding, also known as two-way collaborative communication, using BPSK differential modulation increases, the BER curve of the main analysis system)

基于粒子群优化的无线MESH网信道分配算法通用MATLAB函数(General MATLAB function of wireless MESH network channel allocation algorithm based on particle swarm optimization)

说明：  利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)

说明：  this module introduces the wavelet