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- 自适应联合小波去噪算法，是小波在图像处理中的一个应用，是学习信号处理的很好资料-Adaptive Joint wavelet denoising algorithm is a wavelet in image processing an application, is to learn good information signal processing
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- 对图像进行多级小波分解、重构。可用于提取图像的背景噪声-Multi-level image wavelet decomposition and reconstruction. Can be used to extract image background noise
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- matlab小波表波变换程序，可以直接读取txt文件中的波形，然后直接显示-Table matlab wavelet transform program, you can directly read waveform txt file, and then displayed directly
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- c语言实现db4小波， c语言实现db4小波， -db4 wavelet c language, c language db4 wavelet, c language db4 wavelet, c language db4 wavelet,
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- 该源码使用小波变换，从噪声中恢复出待检测的信号，提高信噪比，以利于信号的检测。-The source uses wavelet transform, to be recovered from the noise in the signal detection, improve signal to noise ratio, to facilitate signal detection.
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- 基于小波灰度相似关联强噪声图像处理算法。通过对图像进行三层小波分解，得到各个方向上的分量。然后根据同一方向上各层之间的灰色关联度区分是噪声还是边缘。在对该点值进行增强或减弱。从而实现对强噪声图像的滤波。该算法比其他算法效果更明显。-Gray similarity based on wavelet image processing algorithms associated with strong noise. Three of the images by wavelet decompositio
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- 利用小波技术对原始信号进行重构与去噪，结果表明效果很好-Wavelet technique to reconstruct the original signal and noise removal, the results show that good results
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- 气象科学研究时，常用于小波分析，来研究两个变量的关系-Meteorological research, the commonly used wavelet analysis to examine the relationship between two variables
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- 本程序运用小波变换对两张有重叠部分的图片进行拼接-This procedure uses wavelet transform part of two overlapping picture mosaic
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- 利用Gabor小波变换解决人脸识别中的小样本问题.caj-Face Recognition using Gabor wavelet transform to solve the small sample size problem. Caj
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- 这是一篇关于小波应用的一篇论文，对研究小波应用的学者有一定的帮助-This is a paper on the application of wavelet, wavelet applications for research scholars will certainly help
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- 针对图像边缘检测，利用小波变换实现图像边缘检测，得到良好的检测效果-For image edge detection, wavelet transform edge detection to get good testing results
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- 小波变换的MATLAB代码，包括傅里叶变换的代码-MATLAB wavelet transform code, including Fourier transform code
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- MATLAB仿的小波变换语音增强算法，效果较好，大家下下来看看。-MATLAB simulation of the wavelet transform for speech enhancement algorithm is better, we take a look down under.
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- 本书全面系统介绍了小波分析的基本理论和最新研究成果，重点介绍小波分析的应用成果，并通过软件实现来检验应用效果。全书分为三篇：第一篇是小波理论，包含8章内容，小波分析的发展历史及文献综述、准备知识、多分辨分析与共轭滤波器、连续小波变换、最佳小波基的构造及算法、二维母小波的构造、框架与样条小波理论、时间----频率分析；第二篇是小波应用，包含12章内容，详细介绍了小波分析在图象压缩、流体力学、工业CT、故障诊断、语音分割、数学物理、地球物理勘探、医学细胞识别、线性系统、神经网络等方面的应用；第三篇是
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- 语音识别，小波的多分辨分析的重要资料，这篇是研究生写的论文，是我学长的，很有用处-Speech recognition, wavelet multi-resolution analysis of important information, this is a paper written by graduate students, my fellow students, very useful
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- 语音增强算法及集中经典算法，小波变换法谱减法，滤波器法等-Speech enhancement algorithm and focus on the classical algorithm, wavelet transform spectral subtraction, filter method, etc.
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- 关于小波边缘的matlab程序，希望对人有用-Matlab program on wavelet edge, in the hope useful to people
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- 小波已被广泛应用于多个领域，在图像图形处理，信号处理中有很重要的地位，这是一些小波的的基础知识和应用程序.-Wavelet has been widely applied in many fields in image and graphics processing, signal processing has a very important position, which is some of the basics of wavelets and applications.
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- 主要介绍基于dct的数字音频水印，以及水印的嵌入和水印的提取-Introduced digital audio watermarking based on dct, and the watermark embedding and watermark extraction