POWER-ELECTRONIC-SIMULINK-CODES

该混响模型代码，应用于matlab仿真中，构建室内混响和噪音环境，使之更接近真实环境，从而仿真 结果更加精确(The reverberation model code, used in the matlab simulation, building indoor reverberation and noise environment, make it more close to the real environment, and the simulation results more accurate)

WSN中AFMR路由算法.（AFMR）算法，通过构建高效路由以及在各节点自适应地决定是否进行数据融合处理，解决了移动代理如何以能量有效的方式融合、收集相关性数据的问题。该算法综合考虑了移动代理在路由过程中传输能量和融合能量的消耗，并根据数据融合算法的能量开销和节能增益，对移动代理迁移到各节点时是否执行数据融合操作进行自适应调整，以达到在各种不同的应用场景中优化移动代理能量开销的目的。(wsn，AFMR)

Code of PSO-Rastrigin with matlab

matlab实现的目标跟踪算法，经调试能用。(Target tracking algorithm matlab implementation, debugging can be used.)

LFM信号的匹配滤波器,用于信号距离探测-LFM the matched filter for signal detection distance(LFM the matched filter for signal detection distance)

基于深度优先搜索的电力系统分区：根据节点连接关系确定节点的所属分区，即系统最终分成多少个区域、每个区域包含哪些节点。(Power system Partition based on deep search according to connectivity , i.e., determining the number of sections and nodes in each section.)

本例用五点差分法求解一个二阶偏微分方程，其间用Jacobi迭代求解(This example uses a five-point difference method for solving second order partial differential equations, during which the Jacobi iterative)

计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。(Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.)

基于Matlab平台，进行概论、随机数理统计数值分析，包括m文件及流程说明。(Matlab-based platform, the Introduction, random numerical analysis of mathematical statistics, including the m-file and process instructions.)

A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [