Multiband spectrum access plays an essential role in cognitive radio systems so as to
increase the network's throughput through wideband spectrum sensing. It includes …

针对小波阈值函数去噪不彻底并且造成图像边缘模糊的问题, 提出一种自适应小波阈值和全变分
模型相结合的去噪方法. 利用小波变换的时频域特性将含噪图像分解得到各维度小波系数 …

The traditional fractional order total variational model has better results in denoising and
maintaining texture details in infrared images. However, it is difficult to determine the order of …

In this study, image denoising has been realized with with the one of the recent Nature-
Inspired optimization algorithms, Grey Wolf Optimizer (GWO). GWO is one of the recent most …

An Electrocardiogram (ECG) signal representing the heart's electrical behaviour is often
corrupted by artefacts that may prevent correct diagnosis and hence need to be reduced for …

The main objective of the thesis is to devise a reliable non-cooperative spectrum sensing
system that is able to detect noise-like signals. We harness the strength of cepstral analysis …

This Nowadays, deep learning is one of the most used technique for image denoising until it
outperforms so far, all other denoising methods. However, this method requires a lot of …