Massachusetts Institute of Technology

Muriel Médard

Soheil Feizi-Khankandi

Flavio Du Pin Calmon

Vivek K Goyal

Jason M Cloud

Weifei Zeng

Techniques, devices, systems, and protocols are disclosed herein that relate to data transfer between communication nodes via multiple heterogeneous paths. In various embodiments, network coding may be used to improve data flow and reliability in a multiple path scenario. Transmission control protocol (TCP) may also be used within different paths to further enhance data transfer reliability. In some embodiments, multiple levels of network coding may be provided within a transmitter in a multiple path scenario, with one level being applied across all paths and another being applied within individual paths.

Multi-path data transfer using network coding

Described herein is a sampling system and related sampling scheme. The system and sampling scheme is based upon a framework for adaptive non-uniform sampling schemes. In the system and schemes described herein, time intervals between samples can be computed by using a function of previously taken samples. Therefore, keeping sampling times (time-stamps), except initialization times, is not necessary. One aim of this sampling framework is to provide a balance between reconstruction distortion and average sampling rate. The function by which sampling time intervals can be computed is called the sampling function. The sampling scheme described herein can be applied appropriately on different signal models such as deterministic or stochastic, and continuous or discrete signals. For each different signal model, sampling functions can be derived.

Energy-efficient time-stampless adaptive nonuniform sampling

A functional compression scheme involves determining a minimal entropy coloring of a characteristic graph of a random variable. Various scenarios are disclosed where the determination of the minimal entropy coloring of a characteristic graph is easy and tractable.

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Belmont, MA, United States of America

Muriel Médard