期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
This letter focuses on adaptive target detection in the presence of multiple interference sources, which comprise clutter, thermal noise, noise-like j......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
In this letter, we propose a new constant false alarm rate (CFAR) detector to accelerate the existing superpixel (SP)-based CFAR detectors for ship de......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
First-order differential microphone arrays (FODMAs), which combine a small-spacing uniform linear array and a first-order differential beamformer, hav......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
In two-way time-of-arrival (TOA) systems, a user device (UD) obtains its position by round-trip communications to a number of anchor nodes (ANs) at kn......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
An adaptive consensus filter
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
The next-item recommendation has been in the central of interest in real-world applications such as e-commerce. However, it is challenging to infer wh......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Loss function plays a key role in self-supervised monocular depth estimation methods. Current reprojection loss functions are hand-designed and mainly......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. Howeve......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration. Specifically, it is assumed that the m......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Improving intelligibility of a speech signal of interest from its observations (with a single microphone) corrupted by additive noise has long been a ......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Texture classification is one of the essential problems in computer vision. Due to the powerful feature extraction ability, convolutional neural netwo......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Although advanced single image deraining methods have been proposed, their generalization ability to real-world images is usually limited, especially ......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
The computational complexity of adaptive filtering algorithms increases with the number of filter coefficients. In applications where a long adaptive ......
期刊： IEEE SIGNAL PROCESSING LETTERS, 2021; 28 ()
Solving complex optimization problems in engineering and the physical sciences requires repetitive computation of multi-dimensional function derivativ......
