Lab4_2_97077

采用解调分析方法，从信号中提取调制信息，分析其强度和频次就可以判断研究对象（诸如机械零件）损伤的程度和部位。(Using the demodulation method, the modulation information is extracted from the signal, the strength and frequency analysis can determine the study (such as mechanical parts) and location of the degree of damage.)

Wavelet transform ( CS)

原理：乘同余法产生随机数来生成均匀分布、瑞利分布、正态分布，压缩包包括3个分布的Matlab源代码(Principle: multiplicative congruential method to generate random numbers to generate uniformly distributed ，Rayleigh distribution and normal distribution.This package includes three distribution of Matlab source code.)

Linear and Nonlinear Programming

Text convert to voice developed by rajesh

measurement for state estimation

图像空域锐化增强，用matlab分别实现Roberts、Sobel、Priwitt算子的锐化处理，以及实现拉普拉斯图像和原始图像叠加的增强处理(Image airspace sharpening, respectively, to achieve with matlab Roberts, Sobel, Priwitt operator sharpening, and achieve enhancement Laplace image and the original image overlay)

The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine validity_Index.m is designed to use them. This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox. i) External validity indices when true class labels are known: Rand index Adjusted Rand index Mirkin index Hubert index ii) Internal validity indices when true class labels are unknown: Silhouette Davies-Bouldin Calinski-Harabasz Krzanowski-Lai Hartigan weighted inter- to intra-cluster ratio Homogeneity Separation iii) Others Error rate (compared with true labels) System Evolution: it is used to estimate the number of clusters and give separable degrees between clusters.

应用matlab实现的高等数理统计最小二乘估计源码(Matlab implementation of higher application of mathematical statistics source least squares estimation)

语音端点检测算法，在matlab里面实现语音端点的准确检测。为读者开发噪声环境下的精确VAD提供思路。(voice endpoint detection algorithm in Matlab voice inside the precise endpoint detection. Readers development under noisy environments to provide accurate VAD ideas.)