109 citations · 170 across the 17 of their papers we have counts for
6 papers · 1 filter
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
Quantum information quantities play a substantial role in characterizing operational quantities in various quantum information-theoretic problems. We consider numerical computation…
Learning Data Triage: Linear Decoding Works for Compressive MRI
Yen-Huan Li, Volkan Cevher
The standard approach to compressive sampling considers recovering an unknown deterministic signal with certain known structure, and designing the sub-sampling pattern and recovery…
Learning-based Compressive Subsampling
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett +3
The problem of recovering a structured signal from a set of dimensionality-reduced linear measurements arises in…
A Cramer-Rao Bound for Semi-Blind Channel Estimation in Redundant Block Transmission Systems
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
A Cramer-Rao bound (CRB) for semi-blind channel estimators in redundant block transmission systems is derived. The derived CRB is valid for any system adopting a full-rank linear r…
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix
Yen-Huan Li, Ping-Cheng Yeh
It is proved that in a non-Bayesian parametric estimation problem, if the Fisher information matrix (FIM) is singular, unbiased estimators for the unknown parameter will not exist.…
Cramer-Rao Bound for Blind Channel Estimators in Redundant Block Transmission Systems
Yen-Huan Li, Borching Su, Ping-Cheng Yeh
In this paper, we derive the Cramer-Rao bound (CRB) for blind channel estimation in redundant block transmission systems, a lower bound for the mean squared error of any blind chan…