Dual_tree_complex_wavelet_transform

使用了Arnold置乱算法，实现了基于小波变换的数字图像水印(Arnold used the scrambling algorithm based on wavelet transform of digital image watermarking)

小波去噪,通过对含噪信号进行四层小波分解，此处利用db3小波系列，通过仿真发现可以很好的消除信号中的噪声(Wavelet denoising, the signal through four layers of noisy wavelet decomposition, where the use db3 wavelet series, the simulation found in the well to eliminate the noise signal)

利用matlab中的小波变换函数，对图像进行小波降噪，并分析降噪效果。(The wavelet transform using matlab function, the image wavelet noise reduction, and analyze the noise reduction effect.)

小波变换的数字水印算法,附有论文和源程序.(Wavelet Transform Digital Watermarking Algorithm with thesis and source code.)

对信号进行局部均值分解，得到一系列具有物理意义的pf分量(Local mean decomposition of the signal to obtain a series of having a physical meaning PF component)

设定雷达和目标参数，选取目标中心与雷达的距离为参考距离，采取dechirp方式接收信号，直接对回波信号进行二维FFT得到的成像结果，并采用Keystone法（即重采样法）校正越距离单元徙动。(Set the radar and the target parameters, select the center of the target and the distance from the radar as the reference distance, take reception dechirp signal, directly on the echo signals, the imaging results obtained by the two-dimensional FFT, and the Keystone method (i.e., re-sampling) Vietnam correction range cell migration.)

计算第二代harr小波变换或者说是整数提升小波变换的源代码(Calculation of second-generation or harr wavelet transform is an integer lifting wavelet transform of the source code)

离散小波变换是指在特定子集上采取缩放和平移的小波变换，是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析，主要应用于信号编码和数据压缩。(Discrete wavelet transform refers to the specific subset take scaling and translation on the wavelet transform, is a kind of multi-resolution ability both time domain and frequency domain signal analysis tool. This transformation can use zoom translational wavelet calculation and analysis instead of the fixed window, mainly used in signal coding and data compression. )

基于小波变换的图像编码，已经使用，效果很好。(Image coding based on wavelet transform has been used with good results.)

利用小波变换实现和直方图均衡化相对比的图像的增强与分割.应该比较有用.分割也采取了几种技术的对比(using wavelet transform and histogram equalization relative ratio of image enhancement and segmentation. Be more useful. Pm cutting has taken several technical contrast)