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fengcengmfcc
- 把声音数据先进行小波分层然后各层进行mfcc系数提取-Voice data first and then layered on each floor to carry out wavelet coefficients MFCC extraction
lyasu1
- 第二代小波变换，基于提升格式的整数小波实现数字图像的无损压缩编码-Second-generation wavelet transform, lifting scheme based on integer wavelet realize the lossless compression of digital image coding
waveletdb4
- 自己做的db4小波三层分解程序，内带实例数据，与大家交流-Make their own three of the DB4 wavelet decomposition process, with examples in the data exchange with the U.S.
waveletbp
- 自己做的小波与神经网络组合方法实现负荷预测程序，与大家交流-Themselves to do the wavelet and neural network combination method to achieve load forecasting procedures, with the U.S. exchange
ImageWienerFilter
- 小波软阈值去噪soft harr.rar 小波软阈值去噪soft harr.rar 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件-Wavelet soft-threshold denoising soft harr.rar wave
matlab
- 小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。-Wavelet decomposition level is, the original signal were low-pass, high pass filter, and then carried out under the bin
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- 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
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- 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 mod
xinhaochuli
- 信号处理小波分析 1)计算信号的小波变换。 2)求出模极大曲线。 3)计算其中两个奇异点的Lipschitz指数。 -Signal processing wavelet analysis 1) the calculation of wavelet transform signals. 2) calculated curve of modulus maxima. 3) the calculation of which tw
wavelet_lifting_pld
- 小波提升Verilog代码，运行于quartusⅡ开发环境。-Wavelet Lifting Verilog code, running on the quartus Ⅱ development environment.
EZW_Matlab
- 对输入的二维灰值图像，先进行提升Haar小波变换，再用经典的EZW算法对小波系数进行压缩，然后反变换重构原图像。-On the importation of two-dimensional gray value of images, first upgrade the Haar wavelet transform, and then classical EZW algorithm to compress the wavelet coef
GABORforrecognition
- In this article, the feature extract algorithm of Gabor wavelet transform improve the precision
DTCWT
- 双树复小波变换 Dual-Tree Complex Wavelet Transform Pack - version 4.3 Nick Kingsbury, Cambridge University, June 2003. This pack includes the following functions for performing the Dual Tree Complex wavelet Transform
fangxiangxingxiaobo
- 方向性小波理论应用特性分析，有关方向小波的学习文献，供大家参考。-Directional characteristics of the application of wavelet theory, the direction of wavelet learning literature, for your reference.
wavelet
- 把图像进行三级分解，去掉低频部分，进行重构，从而用小波提取指定方向（4个）的图像边缘-3 decomposition of the image to remove low-frequency part is reconstructed, which specify the direction of extraction using wavelet (4) Edge
Wavelet(C++)
- 比较不错的C＋＋源代码，小波变换。可以看看。-Comparison of good C source code, wavelet transform. Can look at.
wave
- 使用小波变换的方法实现图像分割，在MATLAB平台下，有效的分割目标区域-The use of wavelet transform method to achieve image segmentation, in the MATLAB platform, the effective partition the target area
Wavelet_Tutorial
- 小波变换的理论 是英文版的 希望有帮助-Wavelet theory is the English version of the hope that help
CDHMM
- 基于小波包的孤立词语音识别技术，构建了一个关于方向信息的孤立词非特定人语音识别系统。给出了从模型训练到识别的实现过程。-Based on Wavelet Packet isolated word speech recognition technology, to build an information on the direction of non-specific people isolated word speech recogn
wmtsa-matlab-0.2.6
- WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for time series analysis techniques presented in: Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis. Cambridge: