M
Meenu Rani
Researcher at Visvesvaraya National Institute of Technology
Publications - 7
Citations - 356
Meenu Rani is an academic researcher from Visvesvaraya National Institute of Technology. The author has contributed to research in topics: Compressed sensing & Signal. The author has an hindex of 3, co-authored 7 publications receiving 230 citations.
Papers
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Journal ArticleDOI
A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
TL;DR: To bridge the gap between theory and practicality of CS, different CS acquisition strategies and reconstruction approaches are elaborated systematically in this paper.
Journal ArticleDOI
A Machine Condition Monitoring Framework Using Compressed Signal Processing
TL;DR: A bearing condition monitoring framework is presented based on compressed signal processing (CSP), in which inference problems are solved without reconstructing the original signal back from compressive measurements, and the proposed scheme significantly improves the time and power cost.
Book ChapterDOI
EEG Seizure Detection from Compressive Measurements
TL;DR: In this paper, CSP has been used for detecting the presence or absence of epileptic seizure in the EEG signal and a feature extraction method is proposed for extracting the features from compressed EEG measurements.
Journal ArticleDOI
Overlap Aware Compressed Signal Classification
TL;DR: This paper proposes the use of a machine learning method known as overlap aware learning along with CSP that generates a smoother decision boundary and hence improves the classification accuracy at higher undersampling factors and simulation results show the trend of improved classification accuracy using the proposed method.
Book ChapterDOI
EEG Monitoring: Performance Comparison of Compressive Sensing Reconstruction Algorithms
TL;DR: The performance of CS reconstruction algorithms in reconstructing the EEG signal back from compressive measurements is compared and orthogonal matching pursuit and compressive sampling matching pursuit are compared.