Multi-objects classification via optimized compressive sensing projection

ICICS 2013
Pages: 1 - 6
Published: Dec 1, 2013
Abstract
The theory of compressive sensing (CS) enables the reconstruction of a sparse signal from highly compressed data. However, in many applications, we are ultimately interested in information retrieval rather than signal reconstruction. In this paper, we study the problem of multi-objects classification in compressive sensing systems. Theoretical error bounds are derived based on the analysis of classical compressive classification. The optimal...
Paper Details
Title
Multi-objects classification via optimized compressive sensing projection
Published Date
Dec 1, 2013
Journal
Pages
1 - 6
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