adhoc

说明：  BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络(BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is a multi-layer feedback-free network)

基于距离多普勒算法的matlab仿真，进行了距离向压缩，方位向压缩，以及距离徙动校正(The Range Doppler Algorithm and MATLAB Simulation)

matlab 天线和电磁分析工具箱 matlab electromagnetic and anntena(antenna and electromagnetic analysis matlab toolbox matlab electromagnetic and anntena)

matlab 常用算法程序，例如插值，矩阵特征值计算，函数逼近等常用算法。(matlab algorithm used procedures, such as interpolation, eigenvalue computation, function approximation and other common algorithms.)

MATLAB的非常好的入门教材。格式为HTML。(Introduction to MATLAB in a very good teaching. Format is HTML.)

用于声源定位的二维声源位置图创建，可以同时画出几个方向的声源(Sound Source Localization for Two-dimensional sound source location map creation, can be drawn in several directions at the same time the sound source)

数字信号处理清华大学出版社第二版 课本matlab源码(Digital Signal Processing, Tsinghua University Press, second edition of the textbook matlab source)

连续投影法，提供GUI，非常方便,并嵌入了多元回归算法(Successive projections algorithm and provide its GUI)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

说明：  carsim与matlab联合仿真，车辆跟踪双移线曲线(Carsim and MATLAB co-simulation, vehicle tracking double lane change curve)