资源列表
vstock61
- 离散小波变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palm prints,
gonglvpu
- 设信号为x(n)=sin(2πf1n)+2cos(2πf2n)+w(n)，n=1,2,....,N，其中f1=0.05，f2=0.12，w(n)为正态白噪声，试在N=356 和1024 点时，分别产生随机序列x(n)、画出x(n)的波形并估计x(n)的相关函数和功率谱
wavelet_fenli
- 离散小波变换正反变换分离程序，含可读取小波系数文件重构图像，小波系数分解文件-Discrete Wavelet Transform and against separation procedure, the wavelet coefficients can read the file containing the image reconstruction, wavelet coefficients of decomposed file
fdct_wrapping_demo_disp
- fdct_wrapping_dispcoef - 返回一个包含所有图像曲波系数的图象 -fdct_wrapping_dispcoef- returns an image containing all the curvelet coefficients
example1
- 小波变换的信号奇异性检测及去噪例程，此码为matlab语言-Wavelet Transform Singularity Detection and Denoising routine
wavelet
- 小波变换用于脑电信号处理，可以很好的对脑电信号进行时频分析-Wavelet transform for EEG signal processing, can be very good for time-frequency analysis of EEG
xiaoboshang
- 计算小波分解后的能量及小波熵。里面还有OFDM信号和WPM信号的程序。-After calculating the energy of wavelet decomposition and wavelet entropy. There is also OFDM signal and the WPM signal process.
GaborFilter
- 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
wavelet
- 用于求取小波包变换后小波系数的熵值，对初学者很有帮助-Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners
LSunwrap
- 基于离散余弦变换的最小二乘法进行相位解包裹-Discrete cosine transform-based least squares method for phase unwrapping
discrete-wavelet-transform
- 包含有小波细化及一维离散小波变换的C程序-Refining and contains one-dimensional discrete wavelet transform of C programs
morlet_wavelet
- 用改进的morlet_wavelet做信号(用文件打开)的小波变换,得到小波变换谱图并提取小波脊-Morlet_wavelet to do with improved signal (with the file open) the wavelet transformation, wavelet spectrum and wavelet ridge extraction