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wavelets.rar
- 该源码是完成图像的小波变换的VC程序。 适合于研究图像处理，模式识别，人工智能方面的人员参考，尤其是初学者可以获益。,The source is a complete image of the VC process of wavelet transform. Suitable for study of image processing, pattern recognition, artificial intelligence aspects of reference, in particula
Gabor
- Gabor小波变换的matlab实现，可以完成对图像的纹理特征提取，广泛应用于图像处理，模式识别等方向-Gabor wavelet transform matlab implementation can complete the image texture feature extraction is widely used in image processing, pattern recognition and so the direction of
matlab1
- matlab辅助小波分析与应用例程 对应“matlab辅助小波分析与应用例程”这本书中的实例。-Applications of Wavelet Transform to Pattern Recognition
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- 观察单色光通过两个狭缝射向屏幕后的干涉图案-Observation of monochromatic light through the two-slit interference pattern after fired at the screen
vstock61
- 离散小波变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palm prints,
Wavelet-algorithm
- 小波分析诞生于20世纪80年代, 被认为是调和分析即现代Fourier分析发展的一个崭新阶段。众多高新技术以数学为基础,而小波分析被誉为“数学显微镜”,这就决定了它在高科技研究领域重要的地位。目前, 它在模式识别、图像处理、语音处理、故障诊断、地球物理勘探、分形理论、空气动力学与流体力学上的应用都得到了广泛深入的研究,甚至在金融、证券、股票等社会科学方面都有小波分析的应用研究-Wavelet analysis was born in the 1980s, is considered the mo
Wavelet-Decomposition
- Wavelets using SAS (Windows): Wavelets are a versatile tool for understanding and analyzing data, with important applications in nonparametric modeling, pattern recognition, feature identification, data compression, and image analysis. Wavelets pro
q1
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q2
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q3
- 复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibrati
q4
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q5
- 利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the p
dabu
- The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progr
Digitalcommunication-
- 本文首先介绍了已有的调制识别方法：判决理论识别方法和统计模式识别方法[9]，然后详细介绍了基于小波变换调制识别过程，最后分析了数字信号调制识别技术的发展前景。-This paper first introduced the existing modulation identification method: Decision theory identification method and statistics pattern recognition method, Then detailed
diffracion
- 平行光通过与圆孔后，在不同距离显示的衍射图样-Parallel light through the diffraction pattern of holes at different distances.
bianma
- BCH码的编译码算法依据的原理，并且实现了BCH (15, 5)码的仿真。该码码长n=15, 信息码位k=5, 纠错位t=3, 阶数m=4, 能纠错3位。译码所用的方法是彼得森译码方法。在彼得森一码中采用计算校正子，然后用校正子寻找错误图样的方法。-BCH code encoding and decoding algorithm based on the principle, and BCH (15, 5) code of the simulation. The code code lengt
Wavelet-Transform
- WaveletTransform on Pattern Recognition。小波变换在模式识别领域经常使用。这个是关于小波在模式识别方面的一些应用情况。如果你想了解小波，这个很适合你。资料里面有报告跟PPT两部分，如果你是模式识别方向的研究生，那么你可以拿这个交作业了。-Comparison and Application the Wavelet Transform on Pattern Recognition
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- 清华大学模式识别书里面的算法 自己编写的 -Tsinghua University, pattern recognition book which I have written algorithm
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- 基于àtrous-Contourlet变换的遥感图像融合算法 罗丽 袁真 王珂 模式识别与人工智能 2007-04-15 期刊-remote sensing image fusion algorithm based on atrous- Contourlet transform Luo Li Yuan Zhen Wang ke pattern recognition and artificial intelligence in the 2007-04-15 journals
gabor
- 二维Gabor小波变换是在时频域进行信号分析处理的重要工具，其变换系数有着良好的视觉特性和生物学背景，因此被广泛应用于图像处理、模式识别等领域-An important tool for two-dimensional Gabor wavelet transform is a time-frequency domain signal analysis and processing, the conversion coefficient has a good visual properties a