Digital Signal/Image Processing Laboratory

The Digital Signal/Image Processing Laboratory at the Electrical and Computer Engineering Department at Colorado State University (CSU) is involved with both theoretical and applied research activities in various areas of signal and image processing. Current activities include: sonar signal processing for underwater target detection and classification; sensor array processing; synthetic aperture sonar processing; detection, classification and localization of natural and man-made sound sources; collaborative detection and classification in multiple sensor environments; collaborative distributed signal processing and decision-making; adaptable text and image retrieval systems.

Some of the short and long-term goals of the laboratory include:

• Identification and development of new application areas for military, medical, industrial, entertainment, and energy arenas.
• Development of strategic plans to form a consortium with local industry and universities to pursue external funding support.
• Development of strategic plans for expansion to a center of research excellence at CSU.

Research

• Underwater Target Detection and Classification
• Coherent Feature Extraction For Detection and Classification of Underwater Targets From Multiple Disparate Sonar Platforms
• An Environmentally and Operationally Adaptive Multi-Sonar Underwater Target Detection System
• Classification of Buried Underwater Objects using Coherence-based Synthetic Aperture Sonar Processing Methods
• Sound Monitoring in National Parks
• A Monitoring System for the Detection, Identification, and Localization of Acoustical Transient Events in National Parks
• Battlefield Remote Sensing
• Acoustic Travel-Time Tomography of the Atmosphere Using Unscented Kalman Filter
• Wireless Sensor Networks for Localization and Tracking of Acoustic Sources
• Text and Image Retrieval Systems
• Adaptable Text Retrieval Systems using Relevance Feedback
• Adaptable Image Retrieval Systems using Kernel Machines and Relevance Feedback

People

Dr. Mahmood Azimi

Research Associates

Jarrod Zacher received a B.S. degree in Electrical Engineering from Colorado State University in 2009. Currently, he is working towards a second Bachelors degree in Computer Science and developing embedded systems for the Digital Signal Processing Laboratory.

Graduate Students

	Vladimir Yaremenko, a M.S. student, received B.S. degree in engineering with electrical specialty from the Colorado School of Mines, Golden, CO in 2014. Research interests include embedded systems, firmware design, digital signal processing, multiple platform target detection, and digital image processing.
	Puoya Tabaghi, a M.Sc. student, received B.Sc. degrees in Electrical Engineering from Amirkabir University of Technology, Tehran, Iran in 2014. Currently, he is working towards his M.Sc. degree at the Electrical and Computer Engineering Department, Colorado State University. His research interests include Statistical Signal Processing, Machine Learning, Dimensionality Reduction and Digital Image Processing. For more information visit his LinkedIn page.
	Jack Hall, a M.S. student, received his B.S. Degree in Electrical Engineering from Miami University, Oxford in 2014. Currently, he is working towards the M.S. degree in Electrical Engineering at Colorado State University, Fort Collins. Jack's research interests include digital and statistical signal and image processing, adaptive filtering, artificial intelligence, and machine learning.