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Indranil Sarkar, Ph.D
Department of Electrical Engineering 332, Bonner Hall North Campus State University of New York at Buffalo Buffalo, NY - 14260
Office ph : (716) 645-2422 ext 2504 Cell : (716) 400-2591 Fax: 716-645-3656
email : isarkar at eng dot buffalo dot edu
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| Education | Teaching | |||||||||||
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I was a teaching assistant in
the Department of Electrical Engineering, The State University of New
York at Buffalo. The courses that I have been a TA for are :
EE 416 : Signal Processing Algorithms. EE 516 : Digital Signal Processing I. EAS 305 : Applied Probability and Statistical Inferences. EE 202 : Circuit Analysis I. EE 203 : Circuit Analysis II. EE 483 : Communication Systems I. EE 303 : Signal Analysis and Transformation Methods EE 631 : Detection and Estimation I received the Graduate Student Excellence in Teaching Award (Honorable mention) from the Graduate School, University at Buffalo in 2007.
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| Research | |
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I worked under Dr. Adly T. Fam. My area of interest is Digital Signal Processing. For my master's thesis I worked on high resolution spectral analysis. My doctoral dissertation is in the area of mismatched filter design for bi-phase and poly-phase codes used for radar, communications and ultrasonic imaging applications. It is desirable in various radar and communication applications to have binary and poly-phase codes with small sidelobes in their aperiodic autocorrelation. It is sought to reduce the energy of side-lobes to result in sequences with a good merit factor. The best achievable merit factor for a sequence of length N is still an open question. On the other hand, if it is desired to minimize the peak side-lobe, then the best possible codes are the Barker codes. However, the largest odd length yet realized for a Barker code is 13 and the largest even length is just 4. Even though there is no rigorous proof about the non-existence of Barker codes of greater lengths, published research based on extensive computer simulations indicate that there are no Barker codes of length upto several thousands. Even for the longest of the Barker codes, the best mainlobe to peak sidelobe ratio is 13 which is not good enough for many practical applications. Hence, a significant amount of research in the area focuses on designing filters that suppress the sidelobes to maximize the above mentioned ratio. In my doctoral dissertation, I have proposed efficient and computationally inexpensive sidelobe suppression filters for pulse compression codes. These filters are longer than the existing length-optimal filters but use significantly less hardware for comparable sidelobe suppression. When implemented on VLSI, these filters are also shown to achieve great savings in area and power consumption as compared to the optimal filters. My other interests include :
Publications are listed below.
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| Links | Friends |
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Salt Lake ... Check this out ! Even Salt Lake has its own website! PhD : Piled High and Deeper : The almanac of all PhD students!
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Arindam - PhD student in CSE, Northwestern. Soumya - Graduate student at CSE, Buffalo. Rohan - PhD student in EE, Buffalo.
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