TM_CFAR

本程序验证手写fft频谱分析的正确性，并用于信号频域积分和频率检测。包含文档详细解释。(This procedure verified the correctness of handwritten fft spectrum analysis, and for the signal frequency-domain points and frequency of testing. Contains the document explained in detail.)

关于PID算法的基于matlab的simulink下的仿真，很好的资料，可以快速的帮助设计PID参数。(Under the simulink simulation matlab based on good information about the PID algorithm can quickly help design PID parameters.)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

MDS-MAP定位算法的matlab仿真代码(MDS-MAP localization algorithm matlab simulation code)

采用MATLAB语言编写的应用实例，主要目的是了解MATLAB的功能，实现对M语言的熟练掌握。(MATLAB language using an application example, the main purpose is to understand the function of MATLAB to achieve proficiency on the M language.)

航路仿真的GUI实现，即爬升，巡航，下降阶段，输入速度！(Route simulation GUI realize that climb, cruise, descent phase, input speed!)

通信网理论相关书籍资料并且附有书籍课后练习题答案(Data communication network theory books and books after class exercises with answers)

％ 本程序实现2维TM波FDTD仿真 ％ 此程序用PML设置吸收边界条件 ％ FDTD_2D_kongqi_PML ％ 仅喊有Ez,Hx,Hy分量( Of the procedures to achieve 2-D TM wave FDTD simulation this program set up with PML absorbing boundary condition FDTD_2D_kongqi_PML have only shout Ez, Hx, Hy component)

程序6：遗传算法工具箱使用例子； 程序7：多种群遗传算法的函数优化； 程序8：基于量子遗传算法的函数寻优； 程序9：基于遗传算法的多目标优化算法； 程序10：基于粒子群算法的多目标搜索算法(Program 6: examples of the use of genetic algorithm toolbox Program 7: multi-population genetic algorithm function optimization Program 8: a function based on quantum genetic algorithm optimization Program 9: Based on the genetic algorithm for multi-objective optimization algorithm Program 10: Based on the particle swarm optimization algorithm for multi-objective search)