H2

多波束、波束形成、DSP实现、多波束分析(Multibeam、Multi-beam forming、Multi-beam analysis、DSP、)

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)

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)

通过学习小波变换原理，自行编写小波函数，不用matla自带小波函数(Wavelet transform principle, by learning to write wavelet function, need not matla with wavelet function)

dual tree complex wavelet transform

使用四元数小波变换图像流估计。是对“Coherent Multiscale Image Processing using Dual-Tree Quaternion Wavelets”的实现。代码很详细。(Use quaternion wavelet transform image flow estimation. Is the " Coherent Multiscale Image Processing using Dual-Tree Quaternion Wavelets" implementation. Code is very detailed.)

利用小波变换的去噪代码，用于图像处理，这是毕业设计的程序(Denoising using wavelet transform code for image processing, which is designed for graduate programs)

此示意程序用DWT实现二维小波变换 1.调原始图像矩阵 2.进行二维小波分解 3.分解结果显示 重构源图像及结果显示 (This indicated the procedure using two-dimensional wavelet transform DWT realize one. Transferred the original image matrix 2. To carry out two-dimensional wavelet decomposition 3. Decomposition results show that reconstruction of the source images and results show)

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.)

用小波方法把脑电信号进行频段分解，并画出图形(Using wavelet method to decompose the eeg signals into frequency bands, and draw the graph)