47 citations · 118 across the 13 of their papers we have counts for
20 papers
Monte-Carlo Sampling Approach to Model Selection: A Primer
Petre Stoica, Xiaolei Shang, Yuanbo Cheng
Any data modeling exercise has two main components: parameter estimation and model selection. The latter will be the topic of this lecture note. More concretely we will introduce s…
The Cramer-Rao Bound for Signal Parameter Estimation from Quantized Data
Petre Stoica, Xiaolei Shang, Yuanbo Cheng
Several current ultra-wide band applications, such as millimeter wave radar and communication systems, require high sampling rates and therefore expensive and energy-hungry analogt…
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
Ghania Fatima, Aakash Arora, Prabhu Babu +1
In this letter, we propose an algorithm for learning a sparse weighted graph by estimating its adjacency matrix under the assumption that the observed signals vary smoothly over th…
Learning Pareto-Efficient Decisions with Confidence
Sofia Ek, Dave Zachariah, Petre Stoica
The paper considers the problem of multi-objective decision support when outcomes are uncertain. We extend the concept of Pareto-efficient decisions to take into account the uncert…
Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar
Xiaolei Shang, Jian Li, Petre Stoica
We consider the problem of range-Doppler imaging using one-bit automotive LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver. The…
RFI Mitigation for One-bit UWB Radar Systems
Tianyi Zhang, Jiaying Ren, Jian Li +2
Radio frequency interference (RFI) mitigation is critical to the proper operation of ultra-wideband (UWB) radar systems since RFI can severely degrade the radar imaging capability…