elec

此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )

说明：  多小波代码，有CL,GHM,Sa4,Opt-rec四种多小波的变换与反变化，前处理和后处理的代码。(Multiwavelet code, there are CL, GHM, Sa4, Opt-rec four Multiwavelet Transform and anti-change, pre-treatment and post-processing code.)

根据小波变换后的模极大值 重建原始信号(To reconstruct the original signal based on wavelet transform modulus maxima)

matlab编的瑞利面波的正演模拟，用于浅层地震勘探研究(Matlab compiled Rayleigh wave in the forward modeling of, used in the shallow seismic exploration and research )

用于时频分析，其中包括短时傅里叶变换、小波变换、脊线提取以及一些信号的生成等。(For time-frequency analysis, including short-time Fourier transform, wavelet transform, ridge extraction and generate some signals and so on.)

小波变换、小波逆变换代码，数字信号处理领域常用(Wavelet transform, wavelet inverse transform code, digital signal processing used)

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

加速度振动信号积分为速度振动信号输出，如需要可再一次积分，变换为位移信号(Vibration signal of the acceleration integral transform)

说明：  基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)

小波神经网络实现短期电力负荷预测，神经网络模型及其BP学习算法。 (Wavelet neural network short term load forecasting, neural network model and BP learning algorithm.)