אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Handling noise and interference in wireless networks requires adaptive, high-performance error correction. Spinal codes are a new rateless error correcting code that iteratively applies a hash function to message bits, ensuring that two input messages that differ in even one bit produce very different coded sequences after the point at which they differ. Spinal codes offer a flexible tradeoff between computational cost and performance. Because spinal codes are rateless, they automatically adapt to changing channel conditions.

The resulting system achieves better throughput than LDPC and Raptor codes, and despite the large state space induced by the hash output, the message can be recovered efficiently; a preliminary hardware prototype decodes at 10Mbps.

No prior knowledge of coding theory is required.

More information at http://nms.csail.mit.edu/spinal/

Bio:
Jonathan Perry received a B.Sc in CS from Tel-Aviv University in 2003. Jonathan worked in high performance computing and in distributed systems until 2010, when he joined MIT's Ph.D. program. Co-advised by Hari Balakrishnan and Devavrat Shah, Jonathan is currently working on error correcting codes and efficient network transport.