Search results
Results from the WOW.Com Content Network
In coding theory and information theory, a binary erasure channel (BEC) is a communications channel model. A transmitter sends a bit (a zero or a one), and the receiver either receives the bit correctly, or with some probability P e {\displaystyle P_{e}} receives a message that the bit was not received ("erased") .
The packet erasure channel is a communication channel model where sequential packets are either received or lost (at a known location). This channel model is closely related to the binary erasure channel .
A deletion channel is a communications channel model used in coding theory and information theory. In this model, a transmitter sends a bit (a zero or a one), and the receiver either receives the bit (with probability p {\displaystyle p} ) or does not receive anything without being notified that the bit was dropped (with probability 1 − p ...
Erasure channel. Add languages. Add links. Article; Talk; English. Read; ... Download QR code; Print/export ... This page was last edited on 21 March 2020, ...
A binary symmetric channel (or BSC p) is a common communications channel model used in coding theory and information theory. In this model, a transmitter wishes to send a bit (a zero or a one), and the receiver will receive a bit.
This can tolerate up to 4 concurrent failures. The storage overhead here is 14/10 = 1.4X. In the case of a fully replicated system, the 10 MB of user data will have to be replicated 4 times to tolerate up to 4 concurrent failures. The storage overhead in that case will be 50/10 = 5 times.
The iPhone App Store opened on July 10, 2008. [10] [11] [12] On July 11, the iPhone 3G was released and came pre-loaded with support for App Store. [13] [14] Initially apps could be free or paid, but then in 2009, Apple added the ability to add in-app purchases [15] which quickly became the dominant way to monetize apps, especially games.
As with other codes, the maximum likelihood decoding of an LDPC code on the binary symmetric channel is an NP-complete problem, [24] shown by reduction from 3-dimensional matching. So assuming P != NP , which is widely believed, then performing optimal decoding for an arbitrary code of any useful size is not practical.