一维二进小波变化与Mallat交体投影算法源码

由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today

基于matlab的gabor滤波器，选择目标频段，一个不错的信号处理工具-Based on the gabor filter matlab, select the target band, a good signal processing tools

Apart from the Haar transform, there is no orthogonal wavelet transform

利用小波变换方法进行多卫星遥感图像数据融合，分析不同长度的小波基对融合图像的影响，从信息的保持性、视觉效果及运用灵活性等方面与IHS、PCA 融合算法进行了比较，从而探讨这一新算法在遥感图像分析应用中的可行性。-Using wavelet transform methods of multi-satellite remote sensing image data fusion, analysis of different wavelet bases on the length of the impact of image fusion, from the maintenance of information, visual effects and the use of flexibility with the IHS, PCA fusion algorithm are compared in order to explore the This new algorithm in the application of remote sensing image analysis feasibility.

小波神经网络在脑电信号数据压缩与棘波识别中的应用-wavelet neural networks in EEG data compression with spikes Identification of

小波分析在脑电信号分析中的应用，希望对大家有帮助-Wavelet analysis in EEG analysis, in the hope that we have to help

运动图象压缩编码中的三层小波分解-moving image coding wavelet decomposition of the three-tier

利用haar小波进行图像消除噪声 fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired-Using haar wavelet image to eliminate noise fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired

Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.-Transform realize Contourlet source. Relevant theory may refer to: Do MN, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.

二维离散小波变换的matlab程序，相信会对大家有帮助-Two-dimensional discrete wavelet transform matlab procedures, we believe, will help