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matlab
- matlab仿真程序小波去噪MATLAB Wavelet-based signal de-noising-MATLAB Wavelet-based signal de-noising
wavelettransform
- 基于小波变换的语音增强的语音去噪的MATLAB源程序-Wavelet-Based Speech Enhancement Speech Denoising MATLAB source code
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,
wavelet_soft_threshold
- 小波变换软阈值去噪。采用阈值去噪时会产生振荡现象，而软阈值去噪可将图像变得较为平滑。-Soft-threshold wavelet de-noising. Threshold denoising using produces oscillation, while the soft-threshold denoising may become more smooth images.
xiaobobianhuan
- 利用小波变换多尺度分析的特性,在小波域的各个尺度上选取不同的阈值对基本的频域谱减法进行改进,并且根据清浊音各自不同的特点,在去噪过程中加以分离,保留了语音中的清音成分,使语音更加饱满。-The use of multi-scale wavelet analysis of the characteristics of the individual in the wavelet domain scale threshold select a different frequency domain of
mulwave
- 此函数基于二进小波的分解、重构的图像去噪-This function is based on the dyadic wavelet decomposition, reconstruction of the image denoising
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
antinoise
- 用MATLAB实现的图像去噪，用了多层小波分解-Achieved using MATLAB image denoising using a wavelet decomposition of multi-storey
test2_wavelet_decomposing
- 用两种方法做边缘检测并对比其效果：传统算子和小波分解去噪后得到的近似系数图像后提取边缘-Two ways to do edge detection and contrast the effect: the traditional operator and after denoising wavelet decomposition coefficients of the approximate image after the edge extraction
tuxiangquzao
- 图像去噪的几种方法分析比较 图像去噪是图像处理中的重要组成部分,对均值滤波、中值滤波、维纳滤波和图像小波 域滤波四种用于图像去噪的平滑技术进行分析比较。 -Image Denoising Methods of Analysis and Comparison of image denoising in image processing is an important part of the mean filtering, median filtering, Wiener filteri
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
zy1
- 摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进-Abstract In this paper, consider using images to
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
denoise
- 该程序采用基于邻域阈值分类的小波变换去噪算法，比传统的去噪算法效果更好，对理解小波变换去噪算法有很大帮助-The program neighborhood-based classification threshold wavelet de-noising algorithm, than the traditional de-noising algorithm is better to understand the wavelet transform denoising algorithm are
wavelet_packet_denoise
- 基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。-Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.
anisodiff
- 将小波和各向异性扩散结合，对超声图像进行去噪。效果较好-The combination of wavelet and anisotropic diffusion for ultrasonic image denoising. Better
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
BGAandDWT
- 基于遗传算法和小波变换的图像去噪处理-Based on genetic algorithms and image denoising wavelet transform to deal with. . . . .
test
- 多尺度积去噪工具，基于平稳小波多尺度分解-Multi-scale plot denoising tool, based on stationary wavelet multi-scale decomposition