搜索资源列表
Haar-wavelet-image--processing
- 用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve t
wave
- 此压缩包包含有小波变换图像处理的多个matlab源代码，包括：小波分解，小波系数分解，小波重构，小波灰值处理等-This compression bag contains wavelet transform image processing of multiple matlab source, including: wavelet decomposition, wavelet coefficients of wavelet decomposition and so on
wavelet-decomposion
- 对信号进行小波分析，小波分解，小波重构,小波分析法滤波的步骤程序。-The signal analysis, wavelet decomposition, wavelet reconstruction, wavelet analysis filtering step process.
labview
- 利用LabViev设计虚拟消噪器，利用小波对信号进行分解，然后设定阈值，再对小波进行重构。-Denoising using LabViev virtual device design, the use of wavelet signal decomposition, and then set the threshold value, then the wavelet reconstructed.
cwdenoise
- 复小波分解的程序，对信号进行去噪，只有一个程序，实现复小波的分解-Complex wavelet decomposition process, the signal denoising, only one procedure to achieve the decomposition of complex wavelet
remove-noise-by-wavelet-transform
- 小波去噪,通过对含噪信号进行四层小波分解，此处利用db3小波系列，通过仿真发现可以很好的消除信号中的噪声-Wavelet denoising, the signal through four layers of noisy wavelet decomposition, where the use db3 wavelet series, the simulation found in the well to eliminate the noise signal
wavedec
- 用wavedec2()函数对b1,b2两幅图像进行小波分解, 采用’haar’小波, 尝试着分解到第二或第三级 融合两幅图像。-With wavedec2 () function b1, b2 two images using wavelet decomposition, using haar wavelet, trying to break into the second or third grade fusion of two images.
Wavelets
- 小波分解在图像处理和电能质量分析中应用广泛，本文应用小波分解的方法将高频的暂态信号提取出来，获取暂态信号的特征量，就能够有效地计算暂态信号。-Wavelet decomposition in image processing and power quality analysis is widely used, this application of wavelet decomposition method to extract high-frequency transient signals,
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
wfb2rec
- 对进行二维小波分解后的图像，进行小波重构-Two-dimensional wavelet decomposition of the image, the wavelet reconstruction
具体小波变换函数
- 对二维信号X（m,n）进行离散小波变换，注：m、n均为偶数，可以计算低频部分，垂直方向，水平方向和对角线方向的小波分解系数
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.)
wavelet
- 基于小波变换的图像局部压缩，使用sym4小波对信号进行一层小波分解(sym4 wavelet is used to decompose one layer for a singal)
wavelet
- 对图像用bior3.7小波进行2层小波分解(the picture is decomposed by bior3.7 wavelet)
基于小波变换的不同分解层次去噪
- 包含不同分解层次对图像去噪效果的仿真程序及结果，包含信噪比源程序(Contains different decomposition levels of image denoising effect of the simulation procedures and results, including signal to noise ratio source)
MyWaveletDenoise
- 对输入信号进行有效的去噪，使用小波分解后对噪声信号去除，并重构得到去噪信号(The input signal is effectively denoised, and the noise signal is removed by wavelet decomposition, and the denoised signal is reconstructed)
C_Res
- db1——db5小波分解、重构输出，系数精度高(Wavelet decomposition and reconstruction output)
multiwavelet
- 本程序用于多小波预滤波 多小波分解 多小波重构(This program is used for multiwavelet pre filtering, multiwavelet decomposition and multiwavelet reconstruction)
整数小波变换
- 整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)
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