Narrow Results

Based on completely different properties of the signal and noise in wavelet transform, the noise confidence factor is introduced to estimate the clutter power level by means of CM (Censored Method). A radar signal CFAR (Constant False Alarm Rate) detection method with soft threshold is proposed. The CFAR characteristic of the method under background with Gaussian distribution clutter is studied theoretically. And the experiment results of radar signal processing demonstrate that this method can detect the targets in other different clutters effectively, which shows the method's robustness and effectiveness.

As we know, a challenge of image denoising is how to preserve the edges of an image when reducing noise. In this paper, by showing the model of noisy images and taking advantage of the multiresolution analysis with wavelet transform to remove the noise, we propose a wavelet image thresholding scheme. The size of the threshold is interrelated with the noise degree, and then we present an efficient denoising method. Experimental results demonstrated that this algorithm could achieve both good visual quality and high SNR for the denoised images.