lungbayesdemo

Demo Software: SIFT Keypoint Detector(This page provides access to a demo version of David Lowe s SIFT keypoint detector in the form of compiled binaries that can run under Linux or Windows.)

说明：  无人驾驶汽车运动控制分为纵向控制和横向控制。纵向控制是指通过对油门和制动的协调，实现对期望车速的精确跟随。横向控制实现无人驾驶汽车的路径跟踪。其目的是在保证车辆操纵稳定性的前提下，不仅使车辆精确跟踪期望道路，同时使车辆具有良好的动力性和乘坐舒适性。(The motion control of driverless cars is divided into vertical control and lateral control. Longitudinal control refers to the precise follow-up of the desired speed by coordinating the throttle and brake. Lateral control enables path tracking of driverless cars. The purpose is to ensure that the vehicle accurately tracks the desired road while ensuring the stability of the vehicle, while at the same time making the vehicle have good power and ride comfort.)

本程序给出了ab滤波算法和Kalman滤波算法。 程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法 对运动轨迹进行了跟踪，并比较了滤波性能。(This program give the Kalman filter algorithm and ab filter algorithm. Program uses the two-dimensional noise superimposed exercise as an example CV (including locus mutation), respectively ab filtering algorithm using Kalman filtering algorithm and Exercise carried out on the track to track, and compare the performance of the filters.)

用SRP-PHAT这个方法进行单个声源进行定位。并且举例说明(Single source locationing algorithm using SRP-PHAT with SRC_srplems)

IT REFERS CODE FOR USING STM

lyapunov预测源代码 计算Lyapunov指数： largest_lyapunov_exponent.m（用吕金虎的方法计算最大Lyapunov指数） 参考文献：基于Lyapunov指数改进算法的边坡位移预测。 lyapunov_wolf.m(用wolf方法计算最大Lyapunov指数) 计算关联维数：G_P.m(G-P算法)(lyapunov prediction)

几种滤波器：hamming窗口的低通滤波器，给定技术指标的模拟巴特沃兹低通滤波器，kaiser窗口的带阻滤波器，blackman窗口的带通滤波器，Kaiser 窗低通滤波器(Several filters: hamming window low-pass filter, given specifications of the analog Butterworth low-pass filter, kaiser window band stop filter, blackman window bandpass filters, Kaiser window low-pass filter)

循环谱的估算循环互相关函数计算循环互相关(cyclic cross periodogram)

constract decring of image

very important reference for matalab