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基于多级树集合分裂排序(spiht)的图像压缩算法
基于多级树集合分裂排序(spiht)的图像压缩算法(Image compression algorithm based on a collection of multi-level tree split-Sort (spiht) of)
- 2020-07-07 16:18:57下载
- 积分:1
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mywavelet
说明: 小波变换算法的C语言实现,包括DWT,INDWT,提升小波,以及小波去噪的MATLAB源代码(wavelet transform algorithm in C language, including DWT, INDWT upgrade wavelet Wavelet denoising and MATLAB source code)
- 2006-04-18 23:21:58下载
- 积分:1
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chapter10
《小波分析理论与MATALB R2007 实现》第10章源码(wavelet analysis using matlab)
- 2012-10-08 22:41:10下载
- 积分:1
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tezhengtiqu
基于小波变换的特征提取,并且给出了利用小波变换的纹理特征提取和颜色特征提取。(Feature extraction based on wavelet transform and wavelet transform are given texture and color feature extraction feature extraction.)
- 2011-07-21 11:33:43下载
- 积分:1
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dfdfd
基于小波域的图像压缩分组编码及其差错隐藏.(Image compression based on wavelet packet coding and error to hide.)
- 2011-11-26 14:56:27下载
- 积分:1
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wavelet
说明: 小波变换用于脑电信号处理,可以很好的对脑电信号进行时频分析(Wavelet transform for EEG signal processing, can be very good for time-frequency analysis of EEG)
- 2011-03-04 19:17:07下载
- 积分:1
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FSSTn-master
一种新的瞬时频率估计方法,用到了同步压缩短时傅里叶变换的高阶形式(This MATLAB package is a collection of scripts allowing to generate figures in the paper [1]. This paper puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables not only to achieve a highly concentrated time-frequency representation for a wide variety of AM-FM multicomponent signals but also to reconstruct their modes with a high accuracy.)
- 2018-05-09 14:44:37下载
- 积分:1
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Extracted-from-the-ECG-signal-
这篇关于从心电信号提取呼吸信号的调查,一共介绍了三种方法,即:频率提取,滤波器滤波,小波变换,三种方法。(This extract on the respiratory signal from ECG investigation, presented a total of three methods, namely: the frequency extraction filter filtering, wavelet transform, three ways.)
- 2011-09-21 11:50:39下载
- 积分:1
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tsxbxz
本程序实现了db2提升小波的消噪,可直接运行成功。(This program achieved a db2 lifting wavelet denoising can be directly run successfully.)
- 2009-11-03 09:36:52下载
- 积分:1
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wavelet
利用小波分析原理对某信号进行分解与重构,并可提取指定层数上的高、低频信号。(A signal is decomposed and reconstructed by using wavelet analysis principle, and high and low frequency signals can be extracted from the specified number of layers.)
- 2018-06-09 20:37:34下载
- 积分:1