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遗传算法程序：求解TSP问题的深度高效方法(Genetic Algorithm Programming: Solving the problem of deep and efficient method of TSP)

信号被窗函数截断，并做频谱分析，比较汉宁窗、三角窗等的特点(Window function signal is cut off, and do spectral analysis, comparing Hanning, triangular windows and other characteristics)

bpsk的解调源代码，可以用于仿真，理解解调过程(bpsk demodulation source code can be used to simulate and understand the demodulation process )

贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，而且方法简单、分类准确率高、速度快。(Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use of probabilistic algorithms. In many cases, Naive Bayes (Naï ve Bayes, NB) classification algorithm with decision trees and neural network classification algorithm is comparable, the algorithm can be applied to large s, and the method is simple, accurate classification rate of speed.)

使用PCA算法进行基于数据的故障诊断的程序(Data - based fault diagnosis program using PCA algorithm)

给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置 (Gives the fractal calculation matlab source code program that can quickly help you to fractal analysis and calculation of parameters easy to set)

利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。 (use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiate between the three different frequency sinusoidal signal, its phase is uniformly distributed in the PI two independent random variables. but a flat white noise. Generating 50 length N = 512 samples of the sequence set.)

说明：  粒子群优化算法计算出的PSS优化模型，为四机两区模型(PSS optimization model calculated by particle swarm optimization algorithm)

output regardings vertical handoff

： 讨论了一种采用 D S P芯片T MS 3 2 0 L F 2 4 0 7实现无传感器永磁同步电机转子磁场定向矢量控制的方案， 介 绍了永磁同步电机的数学模型和矢量控制的基本原理， 给出了在无位置传感器的情况下电机转子位置信号的确定 方法， 采用i ， = 0的对凸极式转子磁路结构的无传感器永磁同步电动机的控制方法， 说明采用高速数字信号处理器 易于实现复杂的矢量控制算法， 可以有效地解决电机的强耦合特性．(： A s o l u t i o n t o c o n t r o l a p e r ma n e n t ma g n e t s y n c h r o n o u s m o t o r ( P MS M)o f s e n s o r l e s s u s i n g t h e TM$ 3 2 0LF 2 40 7 i S d i s c u s s e d． A br i e f i n t r o d u c t i o n o f t h e ma t h e ma t i c mo d e l a n d t he v e c t o r c o n t r o l o f PMS M i s p r e s e n t e d，a n d t h e me t h o d o f a s c e r t a i n i n g t h e r o t o r p o s i t i o n u nd e r t h e c i r c u ms t a n c e o f s p e e d s e n s o r l e s s i s a l s o me n t i o n e d．Th e c o n t r o l me t h o d o f i d 0 o n s a l i e n t p o l e PMSM wh i c h i s s e n s or l e s s i s p ut f o r wa r d，wh i c h s h o ws t h a t i f we us e t h e d i g i t a l s i g n a l p r o c e s s o r we c a n ma k e t h e c o mpl i c a t e d v e c t o r c o n— t r o l a r i t h me t i c c o me t r u e e a s i l y，a n)