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瑞利衰落信道的误码率性能的matlab的m文件(BER performance for Rayleigh fading channel)

power turbine in fundemental of electric machinary

ENERGY DETECTION THRESHOLD

MATLAB Code : For MATLAB programmers, this code is to implement the tracking algorithm of a Radar, in the Matlab environment

Adjust a speed PSS for synchronous generator control.

电力线通信多径信道模型-Manfred Zimmermann模型，多径效应的传递函数H(f)可以用N条传输路径的叠加以及含有频率f、延时τ、距离d的方程来表示： H(f)=∑g_i *A(f,d_i )*e^(-j2πfτ_i ) 式中，i 为路径号， g_i为路径 i的加权系数(包含了传输系数和反射系数的作用)，A(f,d_i )为衰耗，其大小由长度、频率决定，τ_i是每条路径上的延时。 (Powerline Communication multipath channel model-Manfred Zimmermann model)

DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，作为模版匹配的结果。(DTW algorithm procedures, apply two n* m matrix D, d, respectively, accumulated distance and frame matching distance. Where n and m is a reference test pattern and the template frames. Then through a loop to calculate two frames template matching distance d. Next, dynamic programming, for each grid point (i, j) are calculated from the cumulative D1 before the renewal of its three possible lattice point, D2, D3. Taking into account the boundary problem, some former continued grid point may not exist, so add some conditions to determine the final use of the minimum function min (), found three former continued accumulation of grid points cumulative distance as the distance from the current frame to match the d (i, j) added, and a current cumulative distance grid. This calculation has reached the grid (n, m), and D (n, m) output, as a result of template matching.)

说明：  脉冲体制下的相控阵雷达测角精度以及测距精度程序(Pulse under the system of phased array radar angle measurement accuracy and precision of procedures ranging)

对数据中出现的情况分为三类进行匹配，正常，不正常，和未知，对不正常的数据进一步分析- (data on the case are divided into three types matching, normal, abnormal, and unknown, not normal for further analysis of the data-)

利用python实现基于用户的协同过滤推荐，采用pearson相关系数计算相似度，加权平均预测分数(Users use python-based collaborative filtering recommendation, pearson correlation coefficient is calculated using the similarity, the weighted average prediction scores)