31621721ColorHistogram

Space Time Block Coding

刚刚找到的，貌似还可以用，请下载的话，自己修改一下，别让老师发现就行了！(Just found, looks like you can use, download it, its changed a bit, do not let the teacher found on the line!)

the program is based on LMS filter algorithm,and it has been simulated,the simulation environment is matlab(the program is based on LMS filter algorith m, and it has been simulated. the simulation environment is Matlab)

一中Ldpc编码，使用matlab实现的，采用的是线性编码算法，复杂度为线性(One Ldpc code, the use of matlab implementation, using a linear encoding algorithm complexity is linear)

说明：  根据查找表进行定量参数反演，基于RMSE的代价函数反演。(According to the lookup table, the quantitative parameter inversion is carried out, and the cost function inversion is based on RMSE.)

Pcb programing in matlab

使用matlab编写了NRTL方程，用来计算化学工程中的相平衡(NRTL equation which can be used to predict or regress the phase equilibria.)

研究了存在系统误差时单站纯方位角无源定位系统的定位问题，分别在系统误差为常值和时变值时研 究了TLS-KF算法的性能，并通过估计系统误差是否存在，给出了一种选择最优定位算法的判决方法。该问题的 研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能，具有一定的理论意义和实际意义。 (The single station bearing-only passive target localization was studied when system bias was existent.The performance of TLS-KF was studied vias simulations in the cases that the system bias was a constant and time variant respectively.In order to choose the optimum localization algorithm,a criterion was given to estimate whether the system bias was existent.The study of this paper is helpful in practical target localization. )

计算光子晶体的lp01模场分布，和截面场分布彩图(calculation of photonic crystal lp01 mode field distribution, and section distribution maps)

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)