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Minutia Extraction From Fingerprint

用于解反问题的共轭梯度法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x(Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x)

这个同样是利用matlab编程，结合matlab遗传算法工具箱来实现遗传算法的功能(Matlab this is to use the same programming, combined with genetic algorithm matlab genetic algorithm toolbox to achieve the function of)

Switching an Inductive Circuit Using a Breaker With no Snubber This example illustrates the Ideal Switching device solution method of the Powergui block.

a method to calculaate the bicubic spline fr nrecipes

plotting Consecutive OFDM Subcarriers in Time domain..This program plots sensitivity of OFDM subcarriers with Carrier frequency offset(CFO)..

An automated method for estimating reliability of grid systems

INTERNAL FACULT CLASSIFICATION OF TRANSFORMER WINDING ..WITH BASEPAPER AND CODING ....ENJOY IT

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

SVD奇异值变换matlab实现源代码，m文件源代码(SVD singular value transformation matlab source code to achieve, m source code file)