DataGen

AQUILA is a MATLAB toolbox for the one- or twodimensional simulation of ％the electronic properties of GaAs/AlGaAs semiconductor ％nanostructures. (AQUILA is a MATLAB toolbox for the one- or tw odimensional simulation of the electronic pr% operties of GaAs/AlGaAs semiconductor% nanos tructures.)

基于K-means的模糊聚类分析方法，很有用的(Based on the fuzzy K-means cluster analysis, very useful)

动目标参数估计，二范数方法，对目标进行速度方向等的估计(Moving target parameter estimation, two norm method, estimate of the target velocity direction, etc.)

说明：  排列熵可以很好的区分信号和噪声。可以用做优化算法的适应度函数(Permutation entropy can distinguish signal from noise. Can be used as fitness function of optimization algorithm)

介绍FDTD原理，语言编程的要点，适合于研究电磁波散射与传播的问题，对掌握FDTD来说，很值得参考。(Application expert at Ph.D. in “Time-Domain Methods for the Maxwell Equations”)

SC_FDMA(Single-carrier Frequency-Division Multiple Access)仿真(SC_FDMA(Single-carrier Frequency-Division Multiple Access) simulation)

说明：  matlab 图像处理教程，对于matlab入门者很有用(matlab photo)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

线性调频，用matlab编写生成FPGA的mif文件(LFM, prepared with the matlab generate FPGA-mif file)

该程序用粒子滤波的方法跟踪一个机器人并根据WiFi信号修改位置信息。(Tracking a robot with particle filter by correcting odometric measurements with WiFi signal )