Linear_equations

Bit-Error-Rate Simulation Using Matlab

方程求根的MATLAB程序，包括各种数值方法，如黄金分割法，联合法等(Equation Roots of MATLAB programs, including a variety of numerical methods, such as the golden section method, the joint law)

[Numerical analysis]_ This algorithm computes the root of a function by the Wijngaarden_Dekker_Brent method.

用于光学工程科研人员查找和绘制光瞳泽尼克像差(to search and plot Zernike Aberration in the pupil of optical system)

Determinant of the permutation matrix with rows ordered by p.

NASA worldwind插件，用于显示卫星轨迹，包含SatelliteTracker类。基于Direct3D技术。(NASA worldwind plugin for displaying satellite trajectory, including SatelliteTracker classes. Based on Direct3D technology.)

本程序是用Q值法求得的关于席位的分配问题， 并对最结果进行了一定的考虑，是否公平，公平程度如何。(This program is to use Q value method about optimal seats, the allocation of And the results were certain consideration, whether fair, fair to what extent. )

基于卡尔曼滤波算法的数据链延时补偿，算法研究(Data link delay compensation based on kalman filtering algorithm)

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.

多姿态，多角度，有不同光照,连续相位调制信号(CPM)产生，一种噪声辅助数据分析方法。( Much posture, multi-angle, have different light, Continuous phase modulation signal (CPM) to produce, A noise auxiliary data analysis method.)