waveletpackage

基于软件无线电的数字接收机中的下变频结构的程序(Based on software radio frequency conversion program under the digital receiver)

对信号进行小波去噪再重构，针对不同分解层次的高频系数，采用分层阈值方式来量化高频系数。(Signal is carried out the wavelet denoising again reconstructed to quantify high-frequency coefficients, high-frequency coefficients for different levels of decomposition, hierarchical threshold.)

希尔伯特变换法提取零相位子波的小程序，很好用！！(Hilbert transform method to extract the zero-phase wavelet procedure, easy to use! !)

图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪,计算去噪前后图像的PSNR。(Wavelet Denoising images to grayscale images coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform denoising calculated before and after denoising images PSNR.)

用matlab编写的提升小波算法，应用于图像处理，很好用(Matlab prepared using lifting wavelet algorithm used in image processing, very good use)

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.)

基于morlet小波的小波熵的源代码，希望有用，共分享(the code of waveletentropy)

Gabor小波变换的matlab实现，可以完成对图像的纹理特征提取，广泛应用于图像处理，模式识别等方向(Gabor wavelet transform matlab implementation can complete the image texture feature extraction is widely used in image processing, pattern recognition and so the direction of)

对于非平稳信号，小波多尺度分解师一种有效的信号去噪方法，在小波去噪方法的基础上，提出了基于Lipschitz指数的小波阈值去噪方法(For non-stationary signals, signal de-noising of wavelet multi-scale decomposition ' is an effective method, wavelet denoising method based on proposed wavelet thresholding denoising method based on the Lipschitz exponent)

小波方法进行降噪，阈值函数来完成不同设计，核心程序如下面的所示，使用的小波基有coif5，db3，sym4，bior2.4，haar，rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )