Chapter-4

共振解调法轴承诊断 包络谱包括外环内环滚子故障诊断(Resonance demodulation method envelope bearing diagnostic spectrum, including outer inner roller Troubleshooting)

Initiation et Introduction à Matlab.

design cycloconverter 3/3 phase

彩色图像处理中RGB分量向HSI分量的转换(Color image processing components to HSI conversion RGB components)

雷达信号处理的一个重要过程，脉冲压缩,可以利用匹配滤波的原理对目标进行定位(An important process for radar signal processing, pulse compression, you can use the principle of matched filtering on the target location)

tutorial for matlab with alot of open code source

这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器(This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier)

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)

用于分析行走中的人体目标的微动回波分析，改程序为微动分析中的相位调整m函数，可以被移植到其他相应代码中。(Fretting echo for the analysis of human walking target analysis, change procedures for the analysis of micro-m phase adjustment function, it can be ported to other appropriate code.)

主要介绍了如何设计一个模糊控制器以及各种模糊理论指令的具体应用(Describes how to design a fuzzy controller and a variety of specific applications of fuzzy theory instruction)