pso1

PWM 整流器仿真模型４　　有一定代表性(ＰＷＭ)

关于通信类课程中信道容量的计算问题的几点探讨关于通信类课程中信道容量的计算问题的几点探讨关于通信类课程中信道容量的计算问题的几点探讨(Courses on communication Calculation of Channel Capacity of Some of courses on communication Calculation of Channel Capacity of Some of courses on the communication capacity of the channel for the calculation of the points of)

用介观方法格子Boltzmann计算圆柱绕流(Mesoscopic lattice Boltzmann method with calculated flow around a cylinder)

直线开关磁阻电机直接力矩控制仿真，其中的磁链开关表部分不是特别完整(Linear switched reluctance motor direct torque control simulation)

说明：  用遗传算法解决多车场多目标带时间窗车辆问题(Using genetic algorithm to solve the vehicle problem of multi depot and multi-objective with time windows)

随机森林的matlab算法实现，model是训练函数，tree是分类标签函数(Random Forest algorithm matlab, model is the training function, tree classification label function)

利用神经网络对输入的Ｍ序列进行线性离散系统辨识，及其改进算法(The use of neural network input M-sequence of linear discrete-time system identification, and its improved algorithm)

节点在给定的蜂窝环境中移动，判断是否发生切换。采用的是Fhmip(Node in a given cellular environment, move, to determine whether there has been switched. Uses a Fhmip)

附件程序为去波变换的源代码，matlab程序编写，运行正确且非常实用。(Annex procedures to transform the source code, matlab programming, run right and very practical.)

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)