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实现基于离散小波（dwt）的奇异值（svd）分解算法的实现(Decomposition algorithm based on singular value of the discrete wavelet (dwt) (svd))

基于小波变换的图片重建 有完整代码 工程 以及说明 涉及到图片的切割(image reconstruction based on wavelet translate )

小波变换模极大值重建信号的matlab源程序，来源于胡广书的《现代信号处理教程》附属光盘(Wavelet transform modulus maxima reconstruction signal matlab source code, derived from HU-book " modern signal processing tutorial subsidiary Disc)

根据采集的时域数据，做fft得到其频谱，并计算其功率谱密度(According to the collected time-domain data, the frequency spectrum is obtained by FFT and the power spectral density is calculated.)

四元数小波变换。对图像进行四元数小波域变换，并根据变换后得到的四个部分进行幅度相位分析。(Quaternion wavelet transform.Including image analysis via quaternion wavelet domain,such as one magnitude and three angles.)

利用小波分析检测超高压输电线路故障和故障分类(fault identification and classifiction of EHV transmission lines based on wavelet transform)

阵列信号的处理，在阵列天线阵列中的DOA估计的经典算法(Array signal processing, antenna array in an array of classic DOA estimation algorithm)

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

基于小波变换的随机噪声降噪的matlab 主要运用的方法有软阈值去噪法和硬阈值去噪法(Based on wavelet transform matlab random noise and noise reduction methods are mainly used soft thresholding method and hard thresholding method)

说明：  使用小波变换技术实现图像分割，利用matlab编程实现(Using wavelet transform technology to achieve image segmentation, matlab programming)