wavelet

说明：  用c++实现小波变换，参考matlab实现(Using C + + to realize wavelet transform, referring to matlab to realize)

PSK信号载波相位符号定时联合估计,载波环采用判决反馈环，去除噪声平方损耗，定时模块采用早迟原理， 里边有详细的注释，希望对大家有用。点击即可运行。(PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle, inside detailed notes, we want to be useful. Click to run.)

利用小波包变换对信号进行分解及重构，对于初学者是一个很好的学习材料。(Wavelet packet transform signal decomposition and reconstruction, is a good learning materials for beginners.)

主要仿真风力发电系统下matlab pwm整流及波形分析(Main simulation wind power systems matlab rectifier )

数字图像获取, 处理及实践应用源代码——很多有用的图像处理的源代码：图像显示（原图、抖动），图像增强（灰度变换、直方图均衡、多种滤波器、伪彩色增强等），图像复原（运动模糊、逆滤波等等），图像变换（傅立叶变换、快速傅立叶变换、离散余弦变换、沃尔什变换、霍特林变换、小波变换、小波反变换），图像编码（霍夫曼编码、香浓-费诺编码、算术编码、位平面编码等），图像识别。(Digital image acquisition, processing and practical application source code- a lot of useful image processing source code: Image Display (image, jitter), image enhancement (gray-scale transformation, histogram equalization, multi-filter, pseudo-color enhancement, etc. ), image restoration (motion blur, inverse filtering, etc.), image transform (Fourier transform, fast Fourier transform, discrete cosine transform, Walsh transform, Hotelling transform, wavelet transform, wavelet transform), image coding (Huffman coding, Shannon- Fenno coding, arithmetic coding, bit plane coding, etc.), image recognition.)

一个利用小波变换模极大值方法进行信号检测的程序(a wavelet transform modulus maxima method of signal detection procedures)

小波变换、小波逆变换代码，数字信号处理领域常用(Wavelet transform, wavelet inverse transform code, digital signal processing used)

用迭代法生成haar子程序上 以及信息隐藏的详细功能、包含内容说明(Iterative method to generate a the haar subroutine and information hidden features, including content description)

实现db6小波提升变换，对信号进行5层分解和重构。另外被屏蔽的部分为离散小波变换。(Enhance the realization of wavelet transform db6, 5 layers of signal decomposition and reconstruction. In addition to being part of shielding DWT.)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab程序(A variety of methods (hard and soft threshold, adaptive threshold, etc.) of the matlab wavelet denoising procedures)