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WPA
- matlab在信号去噪过程中,运用小波包方法对信号进行降噪处理-matlab signal de-noising process, the use of the method of wavelet packet noise reduction processing on the signal
Untitled1
- 运用小波的几种方法对信号进行去噪对比仿真效果-Simulation results are several ways to use wavelet signal de-noising comparison
Untitled21
- 小波包进行信号去噪的m文件,在matlab中可以直接调用-Wavelet packet signal de-noising m file in matlab can be called directly
wavelet-analysis
- 基于matlab利用小波分析对二维信号进行去噪处理-Based on the Matlab wavelet analysis of two-dimensional signal denoising
chapter1
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。 -Zhang Defeng matlab wavelet analysis source code
chapter2
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter3
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter4
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter5
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter6
- 张德丰matlab小波分析源代码,从信号时-频联合分析引入小波变换,将信号的多分辨率分析及Mallat算法作为全书的重点,并在此基础上,进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用,还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
denoise_self
- 基于matlab程序对声音信号进行去噪处理,通过小波包处理及小波分析结合-Matlab program based on the sound signal denoising by wavelet packet processing and wavelet analysis combined
wavelet_denosie
- 小波变换去噪:1.小波分解2.阈值处理3.小波重构。 通过以上三步实现信号去噪,程序中可设定分解级数与信噪比等参数。-Wavelet denoising: 1. Wavelet decomposition 2 threshold processing 3. Wavelet reconstruction. Through the above three steps to achieve signal de-noising, the program can be set decomposition
wavelet-with-heart-sound-signal-
- 对某一心音信号进行采样,小波分解,去噪,重构。有仿真代码有结果分析。-Of a heart sound signal is sampled, wavelet decomposition, de-noising, reconstruction. Results of a simulation code.
wavelet
- 小波变换进行信号去噪的源程序,基于MATLAB,包含几种常用方法的实现,需安装WaveLab802小波工具箱。 -Wavelet transform for signal denoising source, based on MATLAB, including several common methods of implementation, the need to install WaveLab802 wavelet toolbox.
wavelet
- 小波变换进行信号去噪的源程序,基于MATLAB,包含几种常用方法的实现,需安装LeventCodes小波工具箱。 -Wavelet transform for signal denoising source, based on MATLAB, including several common methods of implementation, the need to install LeventCodes wavelet toolbox.
db4
- 1、 降噪步骤: (1) 一维信号的小波分解。选择一个小波并确定分解的层次,然后进行分解运算。 (2) 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 (3) 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数,你可以找一下~~ 这说的只是基本原理,希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet d
wavelet-code-For-C
- 这是一个用C语言写的小波变换的算法程序。。可以应用到单片机和DSP实时处理数据,如去噪,去除趋势项,提取所需的信号等。-This is a C language wavelet transform algorithm. . MCU and DSP can be applied to real-time processing of data, such as de-noising, removal of the trend items, extract the desired signals.
wavelet
- 基于小波变换的图像去噪处理,对高频信号进行再处理,与之重构,内有详细说明-Based on wavelet transform image denoising, high frequency signal reprocessing, with reconstruction, has a detailed descr iption
wavelet-transform
- 对含噪声信号进行小波变换;对变换得到的小波系数进行某种处理,以去除其中包含的噪声;对处理后的小波系数进行小波逆变换,得到去噪后的信号-Containing noise signal wavelet transform the wavelet transform coefficients to a treatment to remove the noise contained therein the treated wavelet inverse wavelet transform coeff
speech-signal-denosing-
- 基于小波分析在语音信号的去噪方法研究附带相关代码-Wavelets analysis Speech signal De-noising