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Characterisation of the capacity of ISI channels with one-bit quantization at the receiver

July 12 @ 11:00 am - 12:05 pm

Date:  12th July, 2018

Time: 11.00 A.M

Venue: ESB 244

Speaker: Arijit Mondal (EE13S031)

Guide: Dr. RadhaKrishna Ganti, Dr.Andrew Thangaraj

DC Members:

Dr. Srikrishna B (Chairperson)

Dr. Arun Pachai Kannu (Electrical Department)

Dr. Krishna Shivaligam (Computer Science Department)


Motivated by recent high bandwidth communication systems, Inter-Symbol Interference (ISI) channels with 1-bit quantized output are considered under an average-power-constrained continuous input. While the exact capacity is difficult to characterize, an approximation that matches with the exact channel output up to a probability of error is provided. The approximation does not have additive noise, but constrains the channel output (without noise) to be above a threshold in absolute value. The capacity under the approximation is computed using methods involving standard Gibbs distributions. Markovian achievable schemes approaching the approximate capacity are provided. The methods used over the approximate ISI channel result in ideas for practical coding schemes for ISI channels with 1-bit output quantization. We also study the achievable rates for the two and three tap ISI channels using the conventional forward path of the BCJR algorithm with the input alphabet of size two and size three and compute the upper bounds to the channel capacity using the Dual capacity Bounds. It is observed empirically that as the channel length increases the gap between the lower and upper bounds also increases.



All are cordially invited


July 12
11:00 am - 12:05 pm
Event Category:


ESB – 244
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