activity
20112018
most citedA Dictionary Approach to Identifying Transient RFI

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2018

A CNN and LSTM-Based Approach to Classifying Transient Radio Frequency Interference

Daniel Czech, Amit Mishra, Michael Inggs

Transient radio frequency interference (RFI) is detrimental to radio astronomy. It is particularly difficult to identify the sources of transient RFI, which is broadband and interm…

astro-ph.IM2017★ 7 cited

A Dictionary Approach to Identifying Transient RFI

Daniel Czech, Amit Mishra, Michael Inggs

As radio telescopes become more sensitive, the damaging effects of radio frequency interference (RFI) become more apparent. Near radio telescope arrays, RFI sources are often easil…

cs.NI2017★ 1 cited

A New Taxonomy for Symbiotic EM Sensors

Michael Inggs, Amit Mishra

It is clear that the EM spectrum is now rapidly reaching saturation, especially for frequencies below 10~GHz. Governments, who influence the regulatory authorities around the world…

cs.NE2015

Design of OFDM radar pulses using genetic algorithm based techniques

Gabriel Lellouch, Amit Kumar Mishra, Michael Inggs

The merit of evolutionary algorithms (EA) to solve convex optimization problems is widely acknowledged. In this paper, a genetic algorithm (GA) optimization based waveform design f…

nlin.AO2011★ 3 cited

The Recursive Gauss-Newton Filter

Roaldje Nadjiasngar, Michael Inggs

This paper presents a compact, recursive, non-linear, filter, derived from the Gauss-Newton (GNF), which is an algorithm that is based on weighted least squares and the Newton meth…

nlin.AO2011★ 1 cited

Gauss-Newton Filtering incorporating Levenberg-Marquardt Methods for Radar Tracking

Roaldje Nadjiasngar, Michael Inggs

This paper shows that the Levenberg-Marquardt Algorithms (LMA) algorithms can be merged into the Gauss Newton Filters (GNF) to track difficult, non-linear trajectories, without div…