The research in the Communication Systems and Signal Processing focus group involve wide variety of topics such as data compression and image processing, satellite communication, sensor array processing and development of hardware for real time applications computation for digital receiver and passive radar systems.
The research in data compression and image processing mainly focuses on the development of efficient algorithms for video compression, packetization schemes for multimedia bitstreams, as well as neural network based image enhancement and restoration. A variety of advanced compression techniques including fast vector quantization, subband coding using wavelet transform, optimal packetization schemes for embedded bit-streams, and video motion estimation have been developed. In addition, projects are underway for the enhancement and compression of biomedical signals including electrocardiogram (ECG) data compression. The research in communication systems involves modeling, simulation and performance analysis of communication systems, mobile/satellite system architecture, network and payload design. Work also involves on tactical communication network, digital video/audio/multimedia broadcasting, turbo coding, LDPC code and their applications. The signal processing area focuses on real time implementation of sensor array processing algorithms using FPGA and cell processors.
The Communications and Signal Processing faculty conduct research in several areas:
Dr. Jamali's research is in the areas of High performance embedded hardware implementation of sensor array processing algorithms, radar signal processing, digital receiver, FPGA and Cell based embedded systems for smart antennas and adaptive control systems, application specific computer architectures, in-vehicle networks and data bus.
Dr. Kim's research is in the areas of Modeling, simulation and performance analysis of communication systems, mobile/satellite system architecture, network and payload design, tactical communication networks and digital multimedia broadcasting.
Dr. Salari's research is in the areas of Data compression-multimedia communication, image/video/signal processing, applied neural networks for industrial and medical applications.
Dr. Mohsin Jamali - Professor
Department of Electrical Engineering & computer Science
2027 Nitschke Hall, Mail Stop 308
The University of Toledo
Toledo, Ohio 43606-3390
Phone : (419) 530-8162
Fax : (419) 530-8146
Email: mjamali@utnet.utoledo.edu