diyadaikuanwenti

现代通信系统（实用MATLAB)第二章程序(Modern communication systems (useful MATLAB) Chapter II procedure)

Fast Sparse LU substitution

说明：  多传感器融合算法，可以将多传感器的数据经处理，相比单传感器数据更加有效(Multi sensor fusion algorithm can process multi-sensor data, which is more effective than single sensor data)

此程序是用MATLAB编写的时域解相关的LMS自适应算法程序。(This program is written in MATLAB for time domain LMS adaptive algorithm related procedures.)

。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.)

程序描述了一种内点法的方法，能够实现具有等式不等式约束的线性最优算法求解(Procedure describes a method of interior-point method, to achieve equality with inequality constrained linear optimal algorithm)

光电子技术，黑体辐射随着波长的变化曲线。 (Photonics technology, blackbody radiation curve)

HIERARCHICAL AGGLOMERATIVE aLGORITHM

卡尔曼滤波对移动目标的定位与跟踪，效果明显，可以实时的对移动目标进行定位跟踪(Kalman filter positioning and tracking moving targets, the effect is obvious, can real-time location and tracking of moving targets)

bee colony optimization for tsp problem