搜索资源列表
liulihan
- 本程序利用小波变换实现正常心音信号单子带分解与重构-This procedure to achieve a normal heart sounds using wavelet transform signal decomposition and reconstruction with a list
DWT-rank4
- 许多的图像处理过程中，需要更多级别的小波分解，我的程序是四级小波分解，大家可以参考！-A lot of image processing, the need for more levels of wavelet decomposition, my 4 wavelet decomposition procedure, we can refer to!
MP-FFT
- 基于FFT的MP算法（matching pursuit）匹配跟踪，实现信号的稀疏分解-FFT-based MP algorithm (matching pursuit) matching pursuit, sparse decomposition of the signals
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
Image-Super-Resolution
- 稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像-Image Super-Resolution
图像小波分解-matlab
- 小波分解 利用多尺度小波分解函数dwt2对图像进行二尺度小波分解（采用db1小波）
nmf
- 提供NMF程序，非负矩阵分解 用于人脸图像的表示-lnmf and nmf
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
signalwaveletdecopositon
- 一维信号的小波分解重构,其中matlat的源代码是对序列做了扩展的-One-dimensional wavelet signal decomposition and reconstruction, in which the source code matlat is extended sequences done
BEMD_code
- 一个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解-A more classic two-dimensional empirical mode decomposition procedure code, applied to image feature extraction and decomposition
wavelet-matlab
- 基于小波理论的采用sym4小波分解实现图像融合。-base on wavelet map mix
NMF
- 该软件可实现传统的NMF非负矩阵分解，希望能对大家有所帮助！-This software can realize non-negative matrix factorization. I hope it is helpful for all of us.
Wavelet-1
- 小波程序，包含小波分解和小波重构，供大家参卡！-wavelet procedures, including wavelet decomposition and reconstucting for our reference card!
empca2.tar
- 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
matlab1
- 我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. -We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then
lena
- lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。 -lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suita
sparse_decomposition
- 基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared
wavlet
- 离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency co
SVD
- 线性方程的解法,实现对运动目标的检测,针对可见光图像弱小目标检测中的背景抑制和去噪问题,提出了奇异值分解(Singular Value Decomposition,SVD)-Linear equations, to achieve the detection of moving targets, in view of the weak target detection in visible light images in the background suppression and de-noi
Fourier filter
- 程序包中包括Chebyshev低通滤波器、巴特沃斯模拟低通滤波器、Cholesky分解、DFT算法、FFT算法，可以直接移植到嵌入式系统或DSP中实现。-Package includes Chebyshev low-pass filter, Butterworth low-pass filter simulation, Cholesky decomposition, DFT algorithm, FFT algorithm, can be directly transplanted to the