Sparse Sensing For Statistical Inference

The aim of this monograph is therefore to develop theory and algorithms for smart data reduction. We develop a data reduction tool called sparse sensing, which consists of a deterministic and structured sensing function (guided by a sparse vector) that is optimally designed to achieve a desired inference performance with the reduced number of data samples. We develop sparse sensing mechanisms, convex programs, and greedy algorithms to efficiently design sparse sensing functions, where we assume that the data is not yet available and the model information is perfectly known.

• | Author: Sundeep Prabhakar Chepuri, Geert Leus
• | Publisher: Now Publishers Inc
• | Publication Date: Dec 14, 2016
• | Number of Pages: 158 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1680832360
• | ISBN-13: 9781680832365