234 citations · 581 across the 34 of their papers we have counts for
4 papers · 1 filter
Dictionary Learning Using Rank-One Projection (ROP)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary that can sparsely represent the training data. Methods in the literature typically formulate the dictionary learning problem as an opt…
Super-resolved Localisation without Identifying LoS/NLoS Paths
Hengyan Liu, Wei Dai, Yuan Shen
This paper focuses on the problem of localising a transmitting mobile station (MS) using multiple cooperative base stations (BSs). There are two technical difficulties: one is the…
Dictionary Learning with BLOTLESS Update
Qi Yu, Wei Dai, Zoran Cvetkovic +1
Algorithms for learning a dictionary to sparsely represent a given dataset typically alternate between sparse coding and dictionary update stages. Methods for dictionary update aim…
Optimal Number of Measurements in a Linear System with Quadratically Decreasing SNR
Yang Lu, Wei Dai, Yonina C. Eldar
We consider the design of a linear sensing system with a fixed energy budget assuming that the sampling noise is the dominant noise source. The energy constraint implies that the s…