UWB-Aided-UAV-localization-master

表面波，一种很新的多尺度几何分析工具，对运动图像的处理非常有用(SAW, a very new kind of multi-scale geometric analysis tools sports image processing very useful)

matlab有限元分析程序,适合简单的有限元分析，对大型矩阵采用稀疏矩阵存储方式(matlab finite element analysis program)

2ask的调制解调，包括相干解调和非相干解调，并有两者的性能分析(2ask modem, including coherent demodulation and non-coherent demodulation, and performance analysis of both)

It shows the results for PD vs. SNR for energy detector based on different sample numbers.

本程序是关于大规模MIMO的一个简单程序，很容易懂。用仿真结果。(This procedure is a simple procedure for large-scale MIMO, it is easy to understand.)

说明：  各种波束形成方法的集合，非常好用，当然，非原创。(A collection of various beamforming methods, very easy to use and, of course, non-original.)

The best of modern books on CFD

matrix computation book

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

有关于matlab中静态面部数据中的门限效应的源代码(About matlab static facial threshold effect in the data source)