SRF-UNDER-GRID-CONDITIONS

降低OFDM系统中PAPR的PTS改进算法—双层次相位法。可行。出CCDF比较图(Reduce the PAPR of OFDM system PTS improved algorithm- double the level of phase-based method. Feasible. Comparison of the CCDF)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，快拍数为200，信噪比为20dB，阵元间距分别为 tambada/6 tambada/2、tambada。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element number 10, the number of snapshots for 200, SNR is 20dB, respectively array element spacing  tambada/6 tambada/2, tambada.)

说明：  在MATLAB环境下进行双线性变换椭圆低通滤波器设计(In the MATLAB environment bilinear transform elliptical low-pass filter design)

鲍威尔的介绍及相关知识,包括基本的算法和改进的算法 (Powell introduction and related knowledge including basic algorithm and improved algorithm)

超宽带测距中，选目的节点和参考节点。输入节点数量为N和希望的参考节点数量为K，函数返回一个表示目的的节点的整数Nx和一个K维的包括了参考节点ID号的矢量Ref。(Ultra-Wideband Ranging choose destination node and reference nodes. The number of input nodes for N and hope the number of reference node K, the purpose of function that returns a whole number of nodes Nx and including a K-dimensional reference vector of node ID No. Ref.)

MATLAB学习课件 MATLAB是矩阵实验室（Matrix Laboratory）的简称，是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。(MATLAB is MATLAB Matrix Laboratory Learning Software (Matrix Laboratory) for short, is the United States MathWorks, produced a commercial mathematics software for algorithm development, data visualization, data analysis and numerical calculation of high-level technical computing language and interactive environment, MATLAB and Simulink includes two parts.)

本程序为模型预测控制程序的一种，自带实时计算更新模块，完成循环仿真。(This procedure is belong to the model predictive control algorithm, with real-time update module calculation to complete the cycle simulation.)

说明：  非常全面的灵敏度分析讲解以及灵敏度检验案例(Very comprehensive explanation of sensitivity analysis and sensitivity test cases)

以MATLAB 为基础开发的EEGLAB使用手册的中文版。很实用。自留版(MATLAB as the basis for the development of EEGLAB user manual Chinese version. Very practical. Retention Edition)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.