experience

子波整形反褶积是通过所设计的整形滤波器对地震子波，使其成为所期望的形状。(Shaping wavelet deconvolution by shaping filter designed for seismic waves, making it the desired shape.)

使用CDKF：中心差分卡尔曼滤波算法模拟仿真不同编队构形的轨道预报，实现双星编队的精确轨道确定。其中还有可观测性能监测，Monte-Carlo的性能分析等相关程序(central difference kalman filter was used to fulfill the estimation of dual satellite, the observation of different foramtion was investigated.)

不敏卡尔曼滤波器，主要应用于非线性系统的跟踪。(UKF)

说明：  计算电磁，用matlab开发的二维fdtd算法，用来计算二维圆柱的雷达散射截面！(Computational electromagnetics, with the development of two-dimensional fdtd matlab algorithm used to calculate the scattering of two-dimensional cylinder!)

GPS导航电文相关的计算程序，主要应用于GPS的RENIX文件读写及生成计算。(GPS navigation messages related to the calculation procedures, mainly used GPS RENIX document literacy and generate calculated.)

renix文件的读取，以及一些相关的资料！(renix document read, and some relevant information!)

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.(Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.)

维也纳理工大学，LTE物理层链路仿真其中的信道估计模块的m语言代码(Vienna University of Technology, LTE physical layer link simulation in which the channel estimation module m language code)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

This is an archive for face detection in matlab.