DIGITAL-WARTERMARKING

说明：  小波变换去噪方法，过滤高频低频波，C++代码(Wavelet transform denoising method, filtering high frequency low frequency wave, C ++ code)

任意阶daubechies小波函数的构造，包括尺度函数和小波函数以及滤波器系数的构造(arbitrary order PG wavelet function, including scaling function and wavelet function and the structure of the filter coefficients)

MATLAB实现小波变换经典程序，包括采用多孔trous算法实现小波变换、基于小波消噪的雷达回波检测、小波插值与小波构造、小波滤波器构造和消噪程序、小波谱分析mallat算法经典程序、小波图像重构 Matlab 程序等等(MATLAB wavelet transform classic program, including the use of undecimated wavelet transform algorithm to achieve the wavelet transform, the radar echo detection based on wavelet denoising, wavelet interpolation and wavelet construction, construction and de-noising of the wavelet filter program, a small spectral analysis mallatclassic algorithm procedures, wavelet image reconstruction Matlab programalgorithm)

雷达系统设计部分信号处理程序，包括部分目标和干扰模型、匹配滤波、波形设计、多普勒处理、门限检测及恒虚警率等方面信号处理的程序(Signal processing program for radar system design)

这是基于小波变换的图像融合程序，附带融合图像(This is based on the wavelet transform image fusion procedures, fringe Image Fusion)

说明：  真正的3 d双树离散小波变换(DWT)的一个数据集x是使用四个严格采样实现可分3 d DWTs在平行。然后subbands四DWTs结合适当。 (The real the 3 d Doubletree discrete wavelet transform (DWT) data set x four to strict sampling separable 3 d the DWTs In parallel. The then the subbands four DWTs combined appropriately.)

用小波变换和OMP重构的压缩感知算法来重构lena图像。(CS Algorithm with DWT and OMP。)

本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信 号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值(In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get singularity index from the singular points of the particular signal’s envelope. Through comparing this eigenvalue to the figures in a standard database, we can know the functional status of the instruments. Not only the diagnoses are continuously displayed, but alarms about signs of dysfunction will also be raised in a proper way. In other words, both the supervision of the instrument and warning of dysfunction can be achieved)

说明：  Curvelet变换是由一种特殊的滤波过程和多尺度脊波变换组合而成：本程序对彩色图像进行了curvelet变换从而实现图像去噪的效果。首先对图像进行子带分解；然后对不同尺度的子带图像采用不同大小的分块；最后对每个分块进行Ridgelet分析。(Curvelet transform is a combination of a special filtering process and multi-scale ridgelet transform. In this program, curvelet transform is applied to color image to achieve the effect of image denoising. First, the image is decomposed into sub-band; then the sub-band images of different scales are divided into different sizes; finally, each sub-band image is analyzed by ridgelet.)

根据小波变换和噪声信号地能量分布特性，提出了一种先用小波变换对含噪图像进行多尺度分解，求出各尺度小波变换高频系数地噪声方差和阈值，利用各尺度地阈值对高频系数进行处理，然后利用小波变换系数重构图像，实现图像降噪地方法。(According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods.)