LS-and-TLS

滤波求和方式实现宽带波束形成，从先验概率中采样，计算权重，最小均方误差（MMSE）的算法。( Filtering summation way broadband beamforming, Sampling a priori probability, calculate the weight, Minimum mean square error (MMSE) algorithm.)

cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。(cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool.)

基于abaqus编辑的用户自定义单元，二维四节点单元(the uel for 2d ELEMENT based on abaqus)

使用MATLAB编写的卡尔曼滤波源程序，简单易用，输出卡尔曼滤波的最优结果。(Prepared by the use of MATLAB Kalman filter source, easy-to-use, the output of the optimal Kalman filter results.)

程序计算在声速梯度下水中声线的传播并计算声线的长度(Program calculates the velocity gradient in the water line of acoustic sound propagation and calculate the length of the line)

计算机常用数值算法与程序(C++版) (Commonly used numerical algorithm of computer and program )

为了进一步提高直接序列／跳频（ＤＳ／ＦＨ）扩频系统的抗干扰能力，基于小波包变换结合递归最小二乘算法设计 了一种变换域自适应干扰抑制算法，该算法采用小波包分解定位窄带干扰，递归最小二乘算法抑制窄带干扰。通过蒙特卡 罗仿真分析在增加抗干扰模块后，ＤＳ／ＦＨ系统工作在准静态时，在不同信噪比条件下抗窄带干扰性能。仿真结果表明：该 算法具有较强的自适应性以及抗窄带干扰能力，其性能优于传统的直接置零法，适用于多音干扰下的恶劣通信环境。(In order to further improve the anti-jamming capability of direct sequence/frequency-hopping spread spectrum system (DS/FH), based on wavelet packet transform combined with recursive least squares algorithm design a transform domain adaptive interference suppression algorithm, the algorithm uses wavelet packet decomposition positioning narrowband interference, narrowband interference suppression recursive least squares algorithm. By Monte Carlo simulation analysis to increase the anti-jamming module DS/FH system work in the quasi-static, in different SNR anti narrowband interference performance. Simulation results show that: the algorithm has strong adaptability and resistance to narrowband interference ability, its performance is superior to the traditional method of direct zero, poor communication environment suitable for multi-tone interference.)

说明：  在学习数字信号处理算法程序中用VC编写的几个通用算法程序。 卷积计算/DFT与FFT实现/(In the learning process of digital signal processing algorithms using VC General Algorithm for the preparation of several procedures. Convolution calculation/DFT and FFT realization /)

计算一般的mie散射光强等参数的精确程序，得到muller矩阵的各个元素表达式(scattering of Mie)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)