IEEE Seminar - Distributed A/D conversion of bandlimited fields

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Dept of EE announces an IEEE Seminar
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Dr. Animesh Kumar (I.I.T. Bombay)

will speak on

"Distributed A/D conversion of bandlimited fields"

Where: DA 229, ACES Building, Dept of EE
When: Friday, Feb 22, 2013
What Time : 5 PM


Refreshments will be served at 4:45 PM.

All are cordially invited.

Pradeep Kumar K
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EE Seminar co-ordinator
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Pradeep Kumar K
Asst. Professor
Dept. of Electrical Engineering
I.I.T. Kanpur, India
Ph: 91-512-259 7570
Fax: 91-512-259 0063

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TITLE: Distributed A/D conversion of bandlimited fields

ABSTRACT:

Remote sensing of a physical field using a distributed array of sensors is

of interest. Due to underlying physical laws a physical field can be modeled

as a smooth bandlimited field. The sampling and reconstruction of a

bandlimited field, with constraints on quantizer accuracy is studied. Both

deterministic and stochastic field models are considered. For stochastic

fields, results are established in the almost-sure sense.

Two principles will be presented in this talk. If the field is noiseless, a

bit-conservation principle is discovered. The feasibility of having a

flexible tradeoff between the oversampling rate (sensor density) and the

analog-to-digital converter (ADC) precision, while achieving an exponential

accuracy in the number of bits per Nyquist-interval is demonstrated by this

principle. On the other hand, if the field is affected by additive

independent Gaussian noise, a quantizer-precision indifference principle is

discovered. According to this principle, the scaling law for distortion

(mean-squared error) is unaffected by quantizer precision. If N is the

oversampling ratio with respect to the Nyquist rate, then the optimal law

for distortion is O(1/N) and it can be achieved by single-bit precision

quantizers.

[The bit-conservation principle is joint work with Prakash Ishwar (ECE,

Boston University) and Kannan Ramchandran (EECS, University of California,

Berkeley). The quantizer precision-indifference principle is joint work with

Vinod Prabhakaran (TIFR Bombay, Mumbai).]

BIO: Animesh Kumar (PhD 2008, University of California, Berkeley) obtained

his BTech degree from IIT Kanpur, and his MS and PhD degrees from the

University of California at Berkeley in 2003 and 2008, respectively. Since

2009 he is an Assistant Professor in the Electrical Engineering Department

at IIT Bombay. His current research interests include

sampling theory, quantization, statistical and distributed signal

processing.

REFERENCES:

1. http://arxiv.org/abs/0707.1063

2. http://arxiv.org/abs/1211.6598

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