bwt

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

综合使用多种方法使模糊的人体骨架变清晰，空间图像域的增强(The integrated use of a variety of ways to obscure a clear change in human skeleton)

说明：  能够用来求解部分关利用遗传算法的优化模型。。(Relations can be used to solve some of the optimization model using genetic algorithms. .)

nonlinear control sliding mode

模糊PID控制，有参数控制调节矩阵程序，可以参考。 (the code of fuzzy PID controll)

HELPS USER TO DETECT FIRE FROM A VIDEO FILE

Binomial regression on Ca4227, Ca4455 and FeH

its matlab code for lane detection algorithm for intelligent highway

实现二维的避障路径规划，自己规划障碍物形状和选择点，利用轮盘赌迭代出最优路径。(Realizing two-dimensional obstacle avoidance path planning)

说明：  基于matlab用神经网络控制船舶航向的仿真程序(Simulation program of ship course control with neural network based on MATLAB)