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Description: 关于gabor小波的特征不变提取，对于人脸识别和纹理分析有很大帮助。-About the gabor wavelet feature the same extract, for face recognition and texture analysis.
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Size: 173056 |
Author: ps |
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Description: 小波包分析在刀具声发射信号特征提取中的应用[1小波包分析在刀具声发射信号特征提取中的应用[1]－－文章-wavelet packet analysis tool in the acoustic emission signal feature extraction of [a wavelet packet analysis tool in the acoustic emission signal feature extraction applications [1]-- article
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Size: 211968 |
Author: Yuan |
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Description: 模式识别中，以小波分析为基础的信号能量特征提取方法，matlab源代码-pattern recognition to wavelet analysis of the signal energy feature extraction method, the source code Matlab
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Size: 3072 |
Author: chdh |
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Description: 基于小波特征提取方法的图象匹配算法，简单易懂。-based on wavelet feature extraction methods of image matching algorithm, simple and understandable.
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Size: 2048 |
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Description: 小波包4级分解及特征向量空间的建立，希望对大家有用-4 wavelet packet decomposition and feature vector space for the establishment, in the hope that useful to everybody
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Size: 1024 |
Author: wenliangbo |
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Description: 基于小波的多尺度图像彩色特征提取源码，小波可自定义-Based on wavelet multi-scale source image color feature extraction, wavelet can be customized
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Size: 2048 |
Author: Flora |
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Description: 对处理好图片用小波进行特征提取的程序，matlab环境下的！好用哦！-Good picture of the treatment carried out using wavelet feature extraction procedures, matlab environment! Oh, easy to use!
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Size: 1024 |
Author: 卢海云 |
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Description: 图象经过gabor小波滤波。gabor小波与图像卷积。-Image after wavelet filtering gabor. gabor wavelet and image deconvolution.
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Size: 2048 |
Author: liutao |
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Description: 摘要：提出了一种新的说话人识别中特征参数的提取方法*在分别使用傅立叶分析和小波分析得到两组特征
参数之后，进一步利用+,-./0准则进行参数选取，构造了一种新的混合特征参数*在不增加训练和识别时计算
量的同时，结合了傅立叶分析和小波分析两者的优点，具有更好的分类能力*实验结果显示，这种新的混合参数
有效地提高了说话人的识别率，能更好地表征说话人的特征*-Abstract: This paper presents a new kind of speaker recognition in the characteristic parameter extraction method*, respectively, using Fourier analysis and wavelet analysis of two sets of characteristic parameters, the further use of 2B !,-./ 0 criteria for parameter selection, construction A new mixed feature parameters* at no additional training and recognition computation At the same time, a combination of Fourier analysis and wavelet analysis of the advantages of both and has better classification capability* Experimental results show that the new mixing parameters effectively enhance the speaker
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Size: 139264 |
Author: 王功臣 |
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Description: 摘要：一般的说话人识别系统包括特征提取和识别模型两部分，其中特征参数的选择对系统
的识别性能有关键性的影响，现就特征提取展开研究，介绍了各种常用的语音特征参数及目前
主流的两种参数的提取过程，并论述了小波分析应用于语音特征参数提取中的优势-Abstract: The general speaker recognition system includes feature extraction and recognition model in two parts, of which the choice of the characteristic parameters of the recognition performance of the system have a crucial impact on the feature extraction is to commence the study, introduce a variety of commonly used voice feature parameters and At present, the mainstream of the two parameters of the extraction process, and discusses the wavelet analysis applied to voice characteristic parameter extraction of the advantages of
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Size: 63488 |
Author: 王功臣 |
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Description: 基于Gabor小波变换的特征提取和人工智能的人脸检测系统源代码.-Based on the Gabor wavelet feature extraction and artificial intelligence face detection system source code.
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Size: 190464 |
Author: 张晓 |
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Description: Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification.
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Size: 2048 |
Author: 陈浩 |
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Description: Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification.
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Size: 4096 |
Author: 陈浩 |
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Description: Feature Extraction of Infrared Target Based on Image Moment and Wavelet Energy
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Size: 32768 |
Author: yuyyi |
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Description: 6篇有关语音识别特征参数的科技论文，主要包括MFCC参数LPCC参数以及小波应用于特征提取的研究-6 on the speech recognition feature parameters of scientific papers, including MFCC parameters LPCC parameters and wavelet feature extraction applied to the study
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Size: 863232 |
Author: 刘雅琴 |
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Description: 基于小波变换和神经网络的人脸识别：本论文围绕人脸识别问题对人脸特征提取及识别技术进行了研究。主要有：对人脸识别的研究工作进行了综述；在KL算法的基础上提出了新的基于KL的特征提取方法，克服了KL算法计算量大，计算时间长的缺点，-Based on Wavelet Transform and Neural Network Face Recognition: In this paper, issues surrounding the face recognition feature extraction and face recognition technology is studied. Mainly include: the research work on face recognition are reviewed in the KL algorithm is proposed based on the new KL-based feature extraction methods, the KL algorithm to overcome the large amount of computing time of shortcomings,
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Size: 3935232 |
Author: hyh |
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Description: 小波包变换分析信号的MATLAB程序，可用于提取故障特征向量-Wavelet packet transform analysis of signals in MATLAB procedures, can be used to extract fault feature vector
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Size: 1024 |
Author: 董黎芳 |
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Description: EEG signal classification using wavelet feature extraction
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Size: 1447936 |
Author: vipul |
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Description: 装入变换放大器输入输出数据画出正常信号与故障信号的原始波形用dbl小波包对正常信号s1进行三层分解-Wavelet feature analysis
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Size: 1024 |
Author: 李闯 |
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Description: Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)
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Size: 61440 |
Author: 我里个天 |
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