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The operation of a convolutional stabilizer code is as follows.
It uses a convolutional code for error detection and correction.
Convolutional codes work on bit or symbol streams of arbitrary length.
These drawbacks can be avoided by using the convolutional interleaver described below.
The following definition for a quantum convolutional code utilizes the set in its description.
The scheme is basically a convolutional code of rates (r,r+1).
Fundamentally, convolutional codes do not offer more protection against noise than an equivalent block code.
He is well known for his work on optical character recognition and computer vision using convolutional neural networks.
A convolutional encoder is a finite state machine.
Two main categories are convolutional codes and block codes.
"Extra shared entanglement reduces memory demand in quantum convolutional coding."
Trellis diagram in the article about convolutional codes.
Convolutional codes are implemented as either systematic or non-systematic codes.
A convolutional encoder is a discrete linear time-invariant system.
In 1955, Elias introduced convolutional codes as an alternative to block codes.
Quantum convolutional stabilizer codes borrow heavily from the structure of their classical counterparts.
CT scan may show enlarged ventricles without convolutional atrophy.
In practical communication systems, convolutional codes tend to be one of the more widely used channel codes.
The Viterbi algorithm provided the basis for the main decoding strategy of convolutional codes.
Convolutional codes are processed on a bit-by-bit basis.
Punctured convolutional codes are also called "perforated".
A quantum convolutional code admits an equivalent definition in terms of the delay transform or -transform.
Non-systematic convolutional codes can provide better performance under maximum-likelihood (Viterbi) decoding.
Several algorithms exist for decoding convolutional codes.
Channel codes are made up of two main type: convolutional codes and block codes.