Computer Vision and Bi-directional Neural Network for Extraction of Communications Signal from Noisy Spectrogram

Seksan Phonsri; Sankha Subhra Mukherjee; Mathini Sellathurai

doi:10.1109/CAMA.2015.7428185

Computer Vision and Bi-directional Neural Network for Extraction of Communications Signal from Noisy Spectrogram

Seksan Phonsri, Sankha Subhra Mukherjee, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Extraction of communication signals from noisy spectrograms is a challenging problem which has not been explored extensively from an intelligent signal processing and computer vision based perspective. In this paper we propose a novel technique of extracting the communications signal from a noisy spectrogram using a combination of fuzzy neighborhood thresholding based self organizing neural network and morphological operations. We show that about 98% detection is achieved at 5% false alarm of a particular scenario outperforming traditional energy detection.

Original language	English
Title of host publication	2015 IEEE Conference on Antenna Measurements & Applications (CAMA)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781467391498
DOIs	https://doi.org/10.1109/CAMA.2015.7428185
Publication status	Published - 10 Mar 2015
Event	IEEE Conference on Antenna Measurements 2015 - Chiang Mai, Thailand Duration: 30 Nov 2015 → 2 Dec 2015

Conference

Conference	IEEE Conference on Antenna Measurements 2015
Country	Thailand
City	Chiang Mai
Period	30/11/15 → 2/12/15

Keywords

Computer Vision
Spectrogram
Bi-directional Self-organizing Neural Networks
Fuzzy Hostility Index
Morphological Filtering
Blob Detection

Access to Document

10.1109/CAMA.2015.7428185

Cite this

Phonsri, S., Mukherjee, S. S., & Sellathurai, M. (2015). Computer Vision and Bi-directional Neural Network for Extraction of Communications Signal from Noisy Spectrogram. In 2015 IEEE Conference on Antenna Measurements & Applications (CAMA) [7428185] IEEE. https://doi.org/10.1109/CAMA.2015.7428185

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