Description: Speech Recognition - Numbers 1 to 5
Energy normalization and time alignment
References:
[1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993.
％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987.
％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech-Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech Platform: |
Size: 1024 |
Author:pan |
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Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
-LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.ln = localnormalize (IM, sigma1, sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/ Platform: |
Size: 1024 |
Author:xj |
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Description: research on against geometry attacks watermarking technology. A digital Watermarking scheme, which is based on combination of simple and reliable harries detector and image normalization, is proposed. The feather points remain holding after geometry attack. Applying image normalization to these non-overlapped circles which centered at the feature points, after that, we can determine area for watermark embedding. -research on against geometry attacks watermarking technology. A digital Watermarking scheme, which is based on combination of simple and reliable harries detector and image normalization, is proposed. The feather points remain holding after geometry attack. Applying image normalization to these non-overlapped circles which centered at the feature points, after that, we can determine area for watermark embedding. Platform: |
Size: 1024 |
Author:xiaxianming |
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Description: 程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒-Procedures for the realization of the image binarization to a BMP image into a binary black and white images, but also black-and-white reversal can be achieved Platform: |
Size: 38912 |
Author:王东 |
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Description: 用matlab实现虹膜识别过程中的归一化,匹配等功能.-Iris recognition using matlab to achieve in the process of normalization, matching and other functions. Platform: |
Size: 115712 |
Author:xiaozhang |
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Description: 通过人脸图像归一化，人脸检测，特征提取等处理后，实现人脸识别功能-Through the Human face image normalization, face detection, feature extraction, such as treatment, the realization of face recognition feature Platform: |
Size: 12288 |
Author:meaita |
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Description: PSO的RBFNN优化程序
算法步骤
1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间；
2.确定RBF网络的中心和宽度；
3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-1,1] interval 2. To determine the center and width of the RBF network 3. To the fitting error of the mean square roots as a performance index, using the PSO algorithm to optimize RBF network output layer to hidden layer connection weight matrices Platform: |
Size: 4096 |
Author:aKON |
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Description: 最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。-Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function. Platform: |
Size: 1024 |
Author:赵凯 |
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Description: 四种常见的归一化方法，归一化效果不错。应用在matlab环境下。-Four common normalization method, normalized results are good. Used in the matlab environment. Platform: |
Size: 1024 |
Author:panwei |
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