Dipole_FDTD

将序列粗粒化，用于多尺度熵的计算，样本熵是多尺度熵的来源

多模光纤模式分布 采用了一种新的方法 欢迎指正(Distribution of multi-mode fiber using a new approach welcomes the correction)

Copyright (c) 2017, Le Zhang All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution(THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.)

How to transmit a QPSK signal

一本学习MATLAB的好书，对于初学者而言，是最好的选择。(A learning MATLAB books. For beginners, this book is the best choice.)

基于减法聚类及自适应模糊神经网络的 短期电价预测.(Short-term price forecasting Subtractive Clustering and Adaptive Fuzzy Neural Network.)

正弦周期信号的随机共振，不同于以往微弱信号检测中的抑制噪声，随机共振能通过噪声加强信号传输能力( We present the numerical method to solve the bistable SR model based on Runge-Kutta algorithm, and propose a new kind of approach for detecting weak signal, which can effectively detect both period and aperiodic weak signals corrupted by the strong noise background. )

the code is for face recognition in color images.

说明：  Model predictive control basic concepts

侧向定位蒙特卡洛仿真GDOP分析，验证了数据融合方法的精度(GDOP lateral positioning Monte Carlo simulation analysis to verify the accuracy of the data fusion methods)