Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sourya Basu"'
This work investigates functional source coding problems with maximal distortion, motivated by approximate function computation in many modern applications. The maximal distortion treats imprecise reconstruction of a function value as good as perfect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b38d08fef8dfe83143ba24e98b137ab6
http://arxiv.org/abs/2204.02586
http://arxiv.org/abs/2204.02586
Autor:
Xinan Chen, Yifan Zhang, Kartik K. Kansal, Ian George, Yibo Zhang, Bochao Li, Kelly A. Levick, Yibo Zhao, John B. Harvill, Sourya Basu, Tanya Veeravalli, Alton S. Barbehenn, S. Yagiz Olmez, Lav R. Varshney, Yuncong Geng, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, Taha Ameen ur Rahman, Sung Woo Jeon, Fan Wu, Heling Zhang, Ziyue Li, Hassan Dbouk, Shen Yan, Matthew Tomei, Xuechao Wang, Kiwook Lee, James A. Douglas, Peng Xu, Eric A. Wayman
Publikováno v:
DCC
Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations, and partitions. We consider an entire classification of these invari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e06f15cceafa02ad92b2b534588ea69
https://doi.org/10.1109/dcc50243.2021.00061
https://doi.org/10.1109/dcc50243.2021.00061
Publikováno v:
ISIT
We consider two problems in multiterminal source coding under maximal distortion: distributed coding for computing and successive refinement. In distributed coding for computing, we propose a hypergraph-based coding scheme which matches the sum-rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e29ce7ccc139ee78ae5f2080f3be511d
https://doi.org/10.1109/isit44484.2020.9174396
https://doi.org/10.1109/isit44484.2020.9174396
Publikováno v:
DCC
We consider the problem of coding for computing with maximal distortion, where the sender communicates with a receiver, which has its own private data and wants to compute a function of their combined data with some fidelity constraint known to both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0eb6a0cd3ed35eca17a7724cc2c8e6
http://arxiv.org/abs/1910.08276
http://arxiv.org/abs/1910.08276
Autor:
Sourya Basu, Lav R. Varshney
Publikováno v:
SPAWC
We develop practical codes for achieving the capacity-energy function in simultaneously transmitting information and energy over a single noisy line. In particular, two polar coding techniques are developed for discrete memoryless channels. One techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb29f9e97fb600f5dad5338bc470d6b
https://doi.org/10.1109/spawc.2019.8815547
https://doi.org/10.1109/spawc.2019.8815547
Publikováno v:
2018 15th IEEE India Council International Conference (INDICON).
Reverberation and ambient noise present in an audio scene degrades the speech intelligibility and perceptual quality of speech based query applications. The problem of joint speech dereverberation and denoising is challenging when compared to sequent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc62a571a5b744963e5ae1cd26083f79
https://doi.org/10.1109/indicon45594.2018.8986979
https://doi.org/10.1109/indicon45594.2018.8986979
Publikováno v:
GlobalSIP
Single channel speech de-reverberation and de-noising is a challenging problem, since directional information is not available in a single channel when compared to multi-channel approaches. Several deep neural network (DNN) based solutions have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9750c7c67a393a27601b6f3ecbd8dd
https://doi.org/10.1109/globalsip.2018.8646327
https://doi.org/10.1109/globalsip.2018.8646327
Autor:
Sourya Basu, Lav R. Varshney
Deep neural networks have shown incredible performance for inference tasks in a variety of domains. Unfortunately, most current deep networks are enormous cloud-based structures that require significant storage space, which limits scaling of deep lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077a85c34e1e61d60f78e517f71ef611
Autor:
Sourya Basu, Lav R. Varshney
Publikováno v:
DCC
Deep neural networks have shown incredible performance for inference tasks in a variety of domains. Unfortunately, most current deep networks are enormous cloud-based structures that require significant storage space, which limits scaling of deep lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3050d1af34e8207268fb923bd84dda1f
https://doi.org/10.1109/dcc.2017.60
https://doi.org/10.1109/dcc.2017.60
Publikováno v:
2016 International Conference on Signal Processing and Communications (SPCOM).
Text messages are generally encoded by performing table look-up on fixed length code tables. In this paper, a lossless text compression algorithm which works on the principle of entropy reduction is proposed. Characters in a text message in any langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66cf902a750de19491d751930d8de63d
https://doi.org/10.1109/spcom.2016.7746651
https://doi.org/10.1109/spcom.2016.7746651