MP4b.4

Sample Abundance for Signal Processing: A Brief Introduction

Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian, University of Illinois Chicago, United States
Session:
MP4b: Estimation and Inference Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Room 4
Presentation Time:
Mon, 26 Oct, 16:45 - 17:10 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MP4b
MP4b.1: Simulation-based Detection via Misspecified Estimation Theory in Time-Delay Signals
Ella Hadar, Ilana Nisky, Tirza Routtenberg, Ben-Gurion University of the Negev, Israel
MP4b.2: RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets
Omar M. Sleem, Kyocera International, Inc., United States; Sahand Kiani, Constantino M. Lagoa, Pennsylvania State University, United States
MP4b.3: Learning to Preserve Fisher Information for Estimation-Oriented Fixed Bit-Budget Compression
Amir Weiss, Bar-Ilan University, Israel
MP4b.4: Sample Abundance for Signal Processing: A Brief Introduction
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian, University of Illinois Chicago, United States
Contacts