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xiaobo
- 应用matlab的小波去噪程序示例，以语音文件处理说明
xbmjdaz
- 用MATLAB编写的小波模极大值一维去噪程序，程序完整。-Prepared using MATLAB one-dimensional wavelet modulus maxima denoising process, the program integrity.
xiaobobao
- matlab小波包去噪举例，对初学者很有用的一个短程序-matlab wavelet packet denoising for example, very useful for beginners a short program
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
WaveletDenoising
- 小波去噪 很好的小程序 有兴趣你可以去试一试-Wavelet Denoising
waveletstools
- 基于小波变换应用的matlab程序，包含图像增强，图像分解，图像去噪，图像融合等-Applications based on wavelet transform matlab program, including image enhancement, image decomposition, image denoising, image fusion
Wavelet_denoising
- 包含了许多小波阈值去噪的程序，可以用MATLAB仿真，不错哦。-Contains a number of wavelet threshold denoising procedure, you can use MATLAB simulation, pretty good.
digital-image-of-wavelet-de-noising
- 本科毕业设计，包括matlab程序，数字图像的小波去噪-The digital image based on wavelet de-noising and simulation
xiaobo
- 这个程序是小波去噪的程序，可以滤除高频噪声，重构原信号-This program is a wavelet denoising procedure, you can filter out high frequency noise, and reconstruct the original signal
xiaobojiangzao
- 与前边的程序配套使用，模拟实现小波去噪。-And in front of the program to simulate the matching, wavelet denoising.
matlab-gui
- 新手编写的关于matlab gui界面的图像处理界面，主要是对小波去噪的一个简单程序-Novice prepared by the image processing interface matlab gui interface, primarily a simple program for wavelet denoising
midsoft.m
- 使用matlab程序，在小波阈值法去噪时，构造分段直线型阈值函数。-Using Matlab procedures, in the wavelet threshold method denoising, the construction of the segmentation linear threshold function.
小波去噪程序1
- 无偏估计阈值信号处理；固定式阈值阈值信号处理；极大极小值阈值阈值信号处理；软阈值；硬阈值；(Unbiased estimation, threshold signal processing, fixed threshold thresholding, signal processing, minimax thresholding, signal processing, soft thresholding, hard thresholding;)
image denoising
- 通过小波变换对加噪图像进行阈值去噪，并实现了信噪比的比较，更加直观的看出去噪后的图像效果。(The wavelet transform is used to denoise the denoised image, and the comparison of the signal to noise ratio is realized, and the image effect after the denoising is seen more intuitively.)