8rainhasLargura

MATLAB实现ELM算法，并附带UCI经典数据。(MATLAB realization ELM algorithm, along with the classic UCI data.)

<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper>两本电子书，或许对需要发论文的你有所启示(<How to Publish a Paper in the Top Journal><How to Write & Publish a Scientific Paper- Scanned> that may help you to learn something about writing a good paper)

波达方向（Direction Of Arrival）估计，又称为谱估计（spectral estimation）、波达角（Angle Of Arrival）估计。一个信源有很多可能的传播路径和到达角。如果几个发射机同时工作，每个信源在接收机处形成潜在的多径分量。因此，接收天线能估计出这些到达角就显得很重要，目的是破译出哪个发射机在工作以及发射机所处的可能位置。通过测量辐射信号的波达方向（DOA全称Direction Of Arrival）或波达角（AOA）来估测辐射源的位置。理论上这种估计只需要两个接收阵元就可以确定辐射源的位置，但在实际中，由于受到角度分辨率、多径和噪声限制，所需阵元通常要多于两个。DOA定位技术原理是利用接收机处的阵列天线和波达方向（DOA）估计技术来确定一个从接收机到信源的波达方向线，即为方向线（LOB），最后利用多个接收机估计的DOA进行三角测量，方向线的交点就是信源的估计位置。(DOA (Direction Of Arrival) estimation , also known as spectral estimation (spectral estimation), angle of arrival (Angle Of Arrival) estimation. There are many possible sources a propagation path and the angle of arrival . If several transmitters simultaneously, a potential source for each multipath component at the receiver. Therefore, the receiving antenna can estimate the angle of arrival becomes very important, which aims to decipher the location of the transmitter at work as well as possible in which the transmitter . By measuring the radiation signal DOA (DOA stands for Direction Of Arrival) or the angle of arrival (AOA) to estimate the location of the radiation source . Theoretically this estimate requires only two receiving array element can determine the position of the radiation source , but in practice , due to the angular resolution , multipath and noise limits , usually required more than two array elements . DOA positioning technology is the use of an array of antennas at)

根据描述飞行器在铅垂平面内运动的数学模型，编制某飞行器的铅垂平面飞行轨迹仿真程序。(theflightequation)

说明：  数字信号处理中的一些matlab源程序。(digital signal processing some of the Matlab source.)

异步电机simulink仿真程序，有需要的可以下载交流，(PID control)

非线性滤波框架（nef）,包括了 EKF,UKF,DDF1 DDF2,CDF,迭代滤波器,随机积分滤波器, 组合滤波器, 集合卡尔曼滤波, 高斯和滤波，粒子滤波，自回归最小二乘方法(nonlinear estimation framework (NEF) toolbox A. Implemeted local estimation techniques： a1. (extended) Kalman filter a2. Unscented Kalman filter a3. Divided difference filter 1st order a4. Central difference filter a5. Divided difference filter 2nd order a6. Iteration filter a7. Stochastic Integration Filter B. Implemeted global estimation techniques b1. Ensemble Kalman filter b2. Gaussian sum filter b3. Particle filter)

本程序用来实现：运用matlab进行时间序列granger因果检验(The procedure used to implement: using matlab time series granger causality test)

用MATLAB编写的利用有限差分时域法仿真电磁带隙天线的代码，非常有用(EBG Antenna analysis based on FDTD using matlab)

sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)