自适应盲均衡算法在汽车信息总线图像恢复中的应用
Applying Adaptive Blind Equalization Algorithm to Vehicle's Information Bus Image Restoration

选用GHM多小波，对其进行平衡处理后，采用基于平衡正交多小波变换常模盲均衡算法（MWTCMA），对汽车信息总线中的受干扰的倒车影像信号进行自适应恢复实验，并将实验结果与常模盲均衡算法（CMA）和正交小波盲均衡算法（WTCMA）等方法进行对比。结果表明：采用MWTCMA方法可以提高仿真计算收敛速度，降低计算误差。
After the balanced processing of GHM multi-wavelets, this paper restores the interfered reverse image signal of a vehicle's information bus with the constant modulus blind equalization algorithm based on balanced orthogonal multi-wavelet transform (MWTCMA). The (MWTCMA with the traditional algorithms such as Constant Modulus Blind Equalization Algorithm (CMA) and Wavelets Transform Constant Modulus Algorithm (WTCMA) are compared. The results show that the use of MWTCMA algorithm can enhance the convergence speed and effectively reduce calculation errors