Seeking-wavelet-packet-energy

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

图像处理中用到的一些代码，在MATLAB环境下开发的。(levelset image segmentation.)

主要介绍一些基于matlab开发环境的一些实用的函数程序事例，非常有用(Introduces some of the functions of some practical examples matlab program development environment based on useful)

对图像的去噪处理，包括了加权梯度领域去噪、高斯模板去噪和两种方法的结合(Denoising of images, including the weighted gradient field denoising, Gaussian model for denoising and the combination of two methods)

建立一个实测信号的样本，这里我建立四个随机信号的样本，因为方便显示，蓝色信号为有用信号（正弦信号），黑色的四个信号是随机信号分别与正弦信号叠加形成的实测信号，最后红色的信号为样本的均值信号，即为时域同步平均效果下的信号。(A sample of the measured signal, I created four random signal samples, because it' s easy to display, blue signal is useful signal (sinusoidal signal), four black signal is a random signal with sinusoidal signal is superimposed on the formation of the measured signal. the final red signal is the mean of the sample signal, that is, the average effect of time-domain synchronous signal.)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

详细的介绍了小波信号处理的原理、方法和Matlab实现程序。(Detailed introduces wavelets signal processing principle, method and Matlab program)

说明：  主成分分析和独立成分分析,分别处理降维问题和盲信号分离问题(Principal component analysis and independent component analysis, dimensionality reduction, respectively, deal with the problems and blind signal separation)

小波域的树模型去噪采用ＥＭ算法训练模型参数由Ｍatlab编程实现仿真(Wavelet denoising tree model using EM algorithm training model parameters from Matlab Simulation Programming)

自己编写的一个用匈牙利算法求最大完备对集的MATLAB程序(I have written on the Hungarian algorithm seeking the most complete set of MATLAB programs)