CCK

压缩包内容是实现现代数字信号处理技术中的PHD和MUSIC算法原程序和结果，有很大的参考价值(Archive content is the modern digital signal processing technology to achieve the PHD and the MUSIC algorithm and results of the original program, has great reference value)

动态矩阵控制算法与PID算法结合,有很强的理论性,是毕业设计的好程序(Dynamic Matrix Control algorithm combined with the PID algorithm, is very theoretical, is a graduate design program)

matlab参数录入系统，实现参数录入，错误提示。(matlab parameter entry system)

最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

说明：  matlab仿真代码，基于密度的DBSCAN聚类算法，对数据进行聚类处理。(Matlab simulation code, density-based DBSCAN clustering algorithm, clustering data processing.)

this file consists of the turbo code in the AWGN channel. the simulation will nearly take 20 min to simulate but it will produce an excellent output with reaching the Shannon s limit exactly at 0.5db.

说明：  蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵(matlab，ant matlab，ant matlab，ant matlab，ant matlab，ant matlab，ant )

一个求半解正定规划的工具，其中有matlab接口，也可以用来求普通的线性规划等等(a tool for semi definite program)

SEP protocol where direct transmission is allowed if base station is near

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)