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可分离二维二进小波的快速分解与重构算法
- 可分离二维二进小波的快速分解与重构算法
multipointmanualprocess.rar
- 谐波小波程序变参数的积分程序多点人工生成地震波程序低通滤波程序经验模式分解降噪程序,Harmonic Wavelet programmed parameters points integration process of artificial seismic waves to generate low-pass filtering process procedures empirical mode decomposition noise reduction procedure
Wavelets.rar
- 小波去噪的分解与重构示例，里面附带数据文件,Wavelet Denoising sample decomposition and reconstruction, which attached to data files
WPC
- 非常实用的小波包分解程序，以及实现对小波包分解频带求取频谱和能量谱-Very useful wavelet packet decomposition process, and the realization of the wavelet packet decomposition to obtain the spectrum and the energy spectrum band
waveletcdf97
- matlab实现9/7双正交小波变换，将图像分解到频域-matlab realize 9/7 biorthogonal wavelet transform, the image is decomposed into the frequency domain
matlab
- 谐波小波程序变参数的积分程序多点人工生成地震波程序低通滤波程序经验模式分解降噪程序-Harmonic Wavelet programmed parameters points integration process of artificial seismic waves to generate low-pass filtering process procedures empirical mode decomposition noise reduction procedure
xiaobobaofenjie
- 本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构-Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is
wavepenergy
- 小波包能量代码，利用db1小波将信号分解和重构，然后计算小波系数的平方，进行正则化-Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization
EMD-Toolbox
- EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的
wpdecsiji
- 对信号进行四级小波包分解重构的源程序。将要分解的数据文件存放在E:\ta.wav -4 of the signal reconstruction wavelet packet decomposition of the source. Decomposition will be stored in the data file E: \ ta.wav '
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.
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.
waveletsignalsingularitydetection
- 应用matlab语言实现小波分析的检测分析信号的奇异点 db小波分解 重构-matlab wavelets
uniformwhitenoise
- 用db3小波对均匀白噪声进行了五级分解，研究细节部分和近似部分(The uniform white noise sequence is decomposed by db3 wavelet.)
C_Res
- db1——db5小波分解、重构输出，系数精度高(Wavelet decomposition and reconstruction output)
HHT小波变换
- 用于脑电信号的小波分解与重构算法，另外还有一个基于信噪比的空域滤波算法和HHT分解算法，都是几个常用的脑电信号分解算法(Wavelet decomposition and reconstruction algorithm for EEG signals, in addition, a spatial filtering algorithm based on signal to noise ratio (SNR) and HHT decomposition algorithm, are sever
mlsoft
- 基于软阈值的提升小波去噪程序，用于信号处理(A soft threshold based lifting wavelet de-noising program for signal processing)
cc_wavelet
- 对高光谱数据进行1-12层小波分解和重构，并与实测数据相对应进行相关性分析(The hyperspectral data is decomposed and reconstructed by 1-12 layer wavelet and correlated with the measured data)
EWT
- 此压缩文件包含经验小波分解与重构，以及频带划分方法的汇总(This compressed file contains empirical wavelet decomposition and reconstruction, and a summary of frequency band division methods.)
cal_waveletfeature
- 计算小波包特征，小波分解得到能量比、小波熵。小波熵是一个统称，不是一种具体的熵算法。(The wavelet packet features are calculated, and the energy ratio and wavelet entropy are obtained by wavelet decomposition. Wavelet entropy is a general term, not a specific entropy algorithm.)