gps1

仿真源码包括了多层异构蜂窝网络中基于齐次泊松点过程（HPPP）的建模方法，一篇介绍该模型的12年发表在IEEE trans的论文。以及传统六边形建模方法和信道增益矩阵的计算。(Simulation source code, including the multi-heterogeneous cellular networks based on homogeneous Poisson point process (HPPP) modeling method, a description of the model' s 12-year papers published in IEEE trans. And traditional modeling methods and hexagonal channel gain matrix calculation.)

光纤通信系统中的相干光仿真，包括数字信号处理的全部过程和光纤信道的建模，针对16QAM的调制格式，带有Nyquist信号生成(Coherent light simulation in optical fiber communication system, including the whole process of digital signal processing and the modeling of optical fiber channel)

计算单应矩阵，输入为2D图像坐标点和3D世界坐标点，输出为3x3单应矩阵(Calculate homography)

This includes how to protect the speaker using matlab functions.

SOUNDSC(Y,...) is the same as SOUND(Y,...) except the data is scaled so that the sound is played as loud as possible without clipping. The mean of the data is removed.(SOUNDSC (Y ,...) is the same as SOUND (Y, ...) except the data is scaled so that the sound i 's played as loud as possible without clipping. T he mean of the data is removed.)

说明：  仿真Alamouti 的 BER 性能曲线（QPSK 调制）(Simulation BER of QPSK Alamouti STBC with two transmit and receive antenna)

说明：  计算MEMS陀螺的Allan方差，并求出与Allan方差相关的五个系数，最后在求出拟合误差(The Allan variance of MEMS gyroscope is calculated, and five coefficients related to Allan variance are calculated. Finally, the fitting error is calculated)

说明：  计算油膜压力子程序，应用matlab编程，已经验证过，可靠。(Calculate oil film pressure)

基于MATLAB的OFDM/OQAM调制系统的仿真与误码率测试(Simulation and BER MATLAB the OFDM/OQAM modulation system test)

说明：  卷积神经网络包括一维卷积神经网络、二维卷积神经网络以及三维卷积神经网络。一维卷积神经网络常应用于序列类的数据处理;二维卷积神经网络常应用于图像类文本的识别;三维卷积神经网络主要应用于医学图像以及视频类数据识别。(Convolution neural network includes one-dimensional convolution neural network, two-dimensional convolution neural network and three-dimensional convolution neural network. One-dimensional convolution neural network is often used for data processing of sequence class; two-dimensional convolution neural network is often used for text recognition of image class; three-dimensional convolution neural network is mainly used for data recognition of medical image and video class.)