两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度-Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity

method based on Neural Network (NN) technique and accompanied with MMSE (Minimum Mean Square Error), which corrects at the receiver level, the Non-Linear (NL) distortions due to the HPA (High Power Amplifier).-In this paper, we present a meth

用前馈神经网络对数字图像进行去噪，最终效果去噪良好，能够清晰显现原图像。-With feedforward neural networks for digital image denoising, denoising good final results, we can clearly show the original image.