DC-DC matlab模型

cdma系统的调制解调仿真,及其各信噪比的比较。(cdma a step-by-step method, which makes implementation and debugging much easier.)

compare basis Function for wavelet processing

四阶累积量单电磁矢量传感器参数估计 主要对空间信息和极化信息的参数估计(Polarization sensitive array parameter estimation)

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

通过multi-taper方法进行功率谱的计算，采用自适应加权(Computes the power spectrum using the multi-taper method with adaptive weighting.)

monte_carlo法求解非线性规划，有中文注释，可以参考学习(monte_carlo method for solving nonlinear programming, a Chinese comments, you can refer to learning)

两本关于matlab7.0的很好的教程书籍，主要是关于数值计算方面的例程(Two about matlab7.0 the good tutorial books, mainly on numerical calculation routines)

有限单元法求解一阶偏微分方程，使用的方法是加权余量法，比二阶方程更加可靠(Finite element method for second order partial differential equations, a method using a weighted residual method is more reliable than the first-order equation)

一个matlab聚类分析工具包，简单好用(a matlab clustering toolbox)

综合粒子群和蚁群算法，再利用遗传算法中交叉编译算子；再引入模糊技术，形成模糊自适应粒子群和蚁群混合算法，求解TSP问题(Integrated particle swarm and ant colony algorithm, and then genetic algorithm is used to cross compile operator then introduced the fuzzy technology, forming a fuzzy adaptive particle swarm and Ant Colony Hybrid Algorithm for solving TSP problem )