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try2daq
- 利用matlab平台和研华板卡进行在线信号采集、小波去噪和绘制曲线的例程，可通过程序中的注释了解到如何修改数采卡和信号信息以适用于其他情况的信号采集。-Take advantage of the the matlab platform and Advantech board the line signal acquisition, The wavelet denoising routines and draw the curve, by the comments in the program t
wave_denoise
- 对信号进行小波去噪再重构，针对不同分解层次的高频系数，采用分层阈值方式来量化高频系数。-Signal is carried out the wavelet denoising again reconstructed to quantify high-frequency coefficients, high-frequency coefficients for different levels of decomposition, hierarchical threshold.
WT-ddencmp
- 对MATLAB中给出的信号进行默认阈值与软阈值的小波去噪-Signal given in the MATLAB default threshold and soft threshold wavelet de-noising
WT-wden
- 对MATLABB中给出的信号进行信噪比为4的WDEN小波去噪-The signal SNR the MATLABB given 4 WDEN wavelet denoising
quzao
- 仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的-Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromis
my_de_dwt2
- 使用小波变换去噪，小波母函数选择 sym4 ,lev默认值为8,一般为8级小波去噪， par 为 CDF系数，通常取0.9，signal 列向量。取噪声信号范围，对分解的第lev层到第1层的高频系数进行重构。查看滤波后信号和噪声的小波分量-Wavelet transform denoising, the mother wavelet select ' sym4' , the lev default value is 8, is generally 8 wavelet de-noisi
xiaoboquzao
- 这是一个小波去噪MATLAB源程序,用于处理各种信号中的突变点以及异常点的小波去噪程序，该程序能实现各种序列中的异常点的识别。 -This is a wavelet denoising MATLAB source code for a variety of signal processing and exception point mutations wavelet denoising procedure that can achieve a variety of sequence iden
Wavelet-denoising-procedure
- 小波去噪程序基于,小波变换的消噪方法是一种提取有用信号展示噪声和突变信号的优越方法.-Wavelet denoising procedures based on wavelet transform denoising method is a useful signal to extract demonstrated superior signal noise and mutation method.
denoise
- 小波去噪是一个信号滤波的问题，而且尽管在很大程度上小波去噪可以看成是低通滤波，但是由于在去噪后还能成功地保留信号特征，所以在这一点上又优于传统的低通滤波器-Is a signal wavelet denoising filtering problem, and despite the large wavelet denoising can be regarded as a low-pass filter, but since the denoised signal characteristics
-wavelet-de-noising
- 本段程序主要是运用小波去噪对信号进行处理-This segment is mainly the use of wavelet de-noising procedure for signal processing
xiaobo
- 基于小波变换的信号去噪技术，简单的一维小波去噪程序-Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure
wavelet
- 利用小波重构产生噪声信号，再进行小波去噪，可以运行，效果理想-Reconstructed using wavelet noise signal, and then the wavelet de-noising, you can run, the desired effect
quzao
- 先对信号进行两层分解，构造小波分解结构[c,l] 然后使用函数wnoiset()获取噪声方差，接着使用函数wbmpen()获取小波去噪阈值，最后使用函数wdencmp()实现信号去噪。-The first two layers of the signal decomposition, construct wavelet decomposition structure [c, l] then use the function wnoiset () to get the noise varianc
posongzaoshengdejiaruyuquzao
- 小波去噪，包括原始信号的分解，处理及重构，完成含噪声信号的预处理过程-Wavelet de-noising, including the decomposition of the original signal, processing and reconstruction, including the completion of the pretreatment process noise signal
xiao-bo-qu--zao
- 小波去噪，分程3种，第一对信号进行强制消噪处理并图示结果；第二用默认阈值对信号进行消噪处理并图示结果；第三用给定的软阈值进行消噪处理。以及运行图。-Denoising , sub-way three kinds , the first pair of signal processing and noise cancellation forced the results shown second by default thresholds for signal processing and i
Matlab-wavelet-noise-removal
- 小波去噪程序，根据信号的频域特征对信号进行小波分解，然后去噪-program for artifact removal, this function is obtained based on the frequency feature of signal.
wavelet
- 基于新型阈值处理函数的多算法融合小波去噪方法，去燥效果较好，可实现一维信号的有效降噪！另附有小波盲源分离代码-A Better Method based on a novel fusion algorithm of multi-threshold processing function , can achieve the effective denoising for one-dimensional signal. Additionally,Wavelet Blind Source Separ
wavelet
- 根据小波去噪的原理及特点，提出了用FPGA实现小波实时信号处理的方法。实验结果证明采用FPGA实现小波信号处理能在低信噪比的情况下有效去除噪声，同时能够满足信号处理系统的实时性要求。-According to the principles and characteristics of wavelet denoising, a method using wavelet FPGA real-time signal processing. Experimental results show that
xiaoboquzao
- 关于小波去噪的程序，分为几种情况，适用于消除语音信号噪声-Wavelet Denoising of the program is divided into several cases for the elimination of the speech signal noise
xbqz
- MATLAB~数字信号处理 小波去噪实例-MATLAB~Digital signal processing of the wavelet denoising instance