Numerical-Techniques-in-EM

FFTW 32位FFTW调用算法库,MATLAB可以调用(FFTW 32BIT LIBRARY)

两种子空间辨识的闭环方法 两种子空间辨识的闭环方法 (Two closed-loop subspace identification method of the two closed-loop subspace identification methods)

基于matlab的数字pll实现，鉴相器，滤波器以及压控震荡器组成，具备良好的锁相功能，适合入门学习(Digital PLL based on MATLAB, phase detector, filter and voltage controlled oscillator, phase lock function has good, suitable for beginners to learn)

图像 稀疏分解方法 Random Sampling of Sparse Trigonometric Polynomials II - Orthogonal Matching Pursuit versus Basis Pursuit - (Preprint arXiv:math.CA/0604429) by Stefan Kunis and Holger Rauhut(Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

a lab for hidden markov model using matlab

说明：  动态模式分解,从人类步行数据中提取信息.动态模式分解是一种降维算法，最初是在流体力学领域引入的。与提供内部坐标系和相应投影的SVD相似，DMD为您提供随不同时间行为演变的特定空间模式。(Extract Info from Human Walking Data with Dynamic Mode Decomposition)

simple fsk(frequency shift key)

绕线式异步电动机带负荷启动，其转子串联电阻分级投切(Wound rotor induction motor with a load start, its rotor graded series resistance switching)

说明：  introduction to matlab