PhaSpaRecon

根据采集数据计算Allan方差，并将结果输出(allan variance)

说明：  关于匹配滤波的一个很好的外文文档，对了解匹配滤波很有帮助~~~(On matched filtering of a good foreign language documents)

MIMO——OFDM系统仿真，信道模型建立，信道容量计算，误比特率计算算法，信道自适应选择算法等，还有(MIMO- OFDM system simulation, channel modeling, channel capacity calculation, bit error rate calculation algorithm, adaptive channel selection algorithm, as well as)

对于初学者用matlab画图很有帮助，能迅速熟练掌握matlab作图方法(it is bery helpful for beginners to learn Matlab drawing ,with it you can quickly master the mapping method of matlab)

2 dynamics & 2 Static ANN (Artificial Neural Network) with sample data & resutls

说明：  电动助力转向系统相关文档，使用MATLAB/SIMULINK创建汽车EPS模型(Electric power steering system documentation)

简单的陀螺漂移误差kalman滤波仿真，易于理解，便于初学者学习用(Simple gyro drift error kalman filter simulation, easy to understand, easy for beginners to learn)

为了有效对抗灵巧噪声，从雷达信号与噪声信号的产生原理出发，对比了 2 种信号的时、频域差别，并就对抗技 术进行了针对性探讨，研究表明结合信号特征差异识别和针对性的噪声对抗技术能够有效解决灵巧噪声干扰问题(In order to effectively fight smart noise generated from the principle of the radar signal and noise signal of departure, when comparing the two kinds of signals in the frequency domain differences, and to explore targeted against technology, research shows that differences in signal characteristics combined with the identification and targeted Noise confrontation smart technology can effectively solve the noise problem)

处理lasso regression。 使用stochastic Markov property。(Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998 )

希尔伯特包络谱，程序简单易懂，适合初学的人学习(Hilbert envelope spectrum, straightforward procedures, suitable for beginners to learn)