activity
20152022
most citedTransmit Beamforming for Interference Exploitation in the Underlay Cognitive Radio Z-channel

33 citations · 88 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2022★ 16 cited

Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network

Dasong Li, Yi Zhang, Ka Lung Law +3

With the growing popularity of smartphones, capturing high-quality images is of vital importance to smartphones. The cameras of smartphones have small apertures and small sensor ce…

cs.CV2021★ 5 cited

IDR: Self-Supervised Image Denoising via Iterative Data Refinement

Yi Zhang, Dasong Li, Ka Lung Law +3

The lack of large-scale noisy-clean image pairs restricts supervised denoising methods' deployment in actual applications. While existing unsupervised methods are able to learn ima…

cs.CV2021

Neural Camera Simulators

Hao Ouyang, Zifan Shi, Chenyang Lei +2

We present a controllable camera simulator based on deep neural networks to synthesize raw image data under different camera settings, including exposure time, ISO, and aperture. T…

cs.IT2016★ 33 cited

Transmit Beamforming for Interference Exploitation in the Underlay Cognitive Radio Z-channel

Ka Lung Law, Christos Masouros, Marius Pesavento

This paper introduces novel transmit beamforming approaches for the cognitive radio (CR) Z-channel. The proposed transmission schemes exploit non-causal information about the inter…

cs.IT2015★ 15 cited

Rank-Two Beamforming and Power Allocation in Multicasting Relay Networks

Adrian Schad, Ka L. Law, Marius Pesavento

In this paper, we propose a novel single-group multicasting relay beamforming scheme. We assume a source that transmits common messages via multiple amplify-and-forward relays to m…

cs.IT2015★ 19 cited

General Rank Multiuser Downlink Beamforming With Shaping Constraints Using Real-valued OSTBC

Ka Lung Law, Xin Wen, Minh Thanh Vu +1

In this paper we consider optimal multiuser downlink beamforming in the presence of a massive number of arbitrary quadratic shaping constraints. We combine beamforming with full-ra…