3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
DZip: improved general-purpose lossless compression based on novel neural network modeling
Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1
We consider lossless compression based on statistical data modeling followed by prediction-based encoding, where an accurate statistical model for the input data leads to substanti…
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
Shubham Chandak, Kedar Tatwawadi, Chengtao Wen +3
Time series data compression is emerging as an important problem with the growth in IoT devices and sensors. Due to the presence of noise in these datasets, lossy compression can o…
Tutorial on algebraic deletion correction codes
Kedar Tatwawadi, Shubham Chandak
The deletion channel is known to be a notoriously diffcult channel to design error-correction codes for. In spite of this difficulty, there are some beautiful code constructions wh…