搜索资源列表
packetdaima
- 小波包分解去噪c++源程序,包括信号的小波包分解,最优树选择,以及重构-Wavelet packet denoising c++ Source, including the signal wavelet packet decomposition, optimal tree selection, as well as the reconstruction of
waveletmvdr
- 对含窄带噪声的语音信号进行小波去噪,并汇出LP谱和MVDR谱-LP and MVDR based wavelet
CompFinal
- 用Matlab实现的心电信号的处理源程序,ECG,预处理,滤波-Matlab achieved by the handling of source ECG, ECG, pre-processing, filtering
WT
- 一个简单的matab的小波去噪程序,算法采用WT的方法,实现了较好的信号去噪效果-A simple matab wavelet denoising procedure, the algorithm using WT method to achieve a good signal de-noising effect
xiaobo
- 我们提出了一种改进的小波域维纳滤波器,在小波域采用基于贝叶斯估计的小波阈值去噪技术估计期望信号提高估计的精度,并以此设计经验维纳滤波器-We propose an improved wavelet domain Wiener filter in wavelet domain Bayesian estimation based on wavelet threshold denoising techniques to estimate the desired signal to improve th
adaptivelms
- 基于小波变换的可变步长自适应LMS语音信号去噪程序,对实际复杂噪声具有很好的效果-Based on wavelet transform adaptive variable step size LMS Speech Signal Denoising procedures, the actual complexity of the effect of noise has a very good
WaveletDenoise
- 本设计基于小波变换法对语音信号进行去噪处理,得到了较好的语音增强效果-The design is based on wavelet transform denoising the speech signal to obtain a better speech enhancement
041010
- matlab环境下关于数字信号处理的一些程序,主要是利用小波变换的去噪程序-matlab environment about a number of digital signal processing procedures, mainly the use of wavelet transform de-noising procedures
wavelet
- 语音增强是语音信号处理的重要分支,本程序用小波变换实现-Speech enhancement speech signal processing is an important branch, the procedures for implementation of Wavelet Transform
a2
- 传统小波阈值去噪法 小波阈值收缩法去噪的主要依据是:小波变换特别是正交小波变换具有很强的去数据相关性,它能够使图像的能量在小波域集中在一些大的小波系数中;而噪声的能量却分布于整个小波域内,因此,经小波分解后,图像的小波系数幅值要大于噪声的系数幅值,可以认为,幅值比较大的小波系数一般以图像信号为主,而幅值比较小的小波系数在很大程度上是噪声。于是采用阈值的办法可以把信号系数保留,而使大部分噪声系数减少至零[-Study on Algorithm of Image Denosing Based o
xiaoboxiaozao
- 小波信号消噪,使用小波阈值法对含噪信号进行去噪。-Wavelet signal denoising, the use of wavelet thresholding method for denoising signals with noise.
xiaoboquzao
- 基于小波变换的信号去噪研究-Signal Based on Wavelet Transform Denoising ..................
xiaobobianhuantux
- 小波变换是一种快速发展和比较流行的信号分析方法, 其在图像处理中有非常重要的应用, 包括图像压缩, 图像去噪, 图像融合, 图像分解, 图像增强等。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波 (CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis,
bbs1
- 用小波包进行信号的去噪处理。检测第一种类型的间断点1检测第二种类型的间断点2-Using wavelet packet denoising for signal processing. Detection of the first type of discontinuity points of a continuous detection of the second type of point 2
Waveletsignal
- 阐述了小波变换去除信号噪声的基本原理和方法,研究利用小波变换技术对信号噪声进行抑制和去除非平稳信号的噪声。然后利用MATLAB软件编制程序实现了基于小波变换的正弦信号的去噪仿真分析,仿真结果表明小波变换去除噪声具有很强的实用性。-MATLAB Wavelet-based signal
waveletdenoisingvoice
- 实现小波语音去噪,基本实现了去除噪音的功能。主要读取信号,分解,去噪,重构。-The realization of wavelet denoising voice, the basic realization of the noise removal function. Read the main signal, decomposition, denoising, reconstruction.
wdenoise
- 这是小波变换用来去噪的程序,对信号的去噪效果较好-wavelet denoise
yuzhi
- 小波软阈值simulink模型,对带噪语音信号进行小波分解,得到高低频系数,然后对高低频系数进行阈值处理,然后就行重构得到去噪语音信号-the simulink model of yuzhi
Untitled6
- 小波阈值去噪,对管道泄露信号进行去噪处理,恢复原信号-Wavelet Thresholding Denoising of pipeline leak noise signal processing, the restoration of the original signal
matlabEcg01
- 关于心电信号的仿真模型,包括滤波、平滑等信号处理-On the ECG of the simulation model, including filtering, smoothing and other signal processing