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Hard disk drive and Noisy-channel coding theorem

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Hard disk drive and Noisy-channel coding theorem

Hard disk drive vs. Noisy-channel coding theorem

A hard disk drive (HDD), hard disk, hard drive or fixed disk is an electromechanical data storage device that uses magnetic storage to store and retrieve digital information using one or more rigid rapidly rotating disks (platters) coated with magnetic material. In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.

Similarities between Hard disk drive and Noisy-channel coding theorem

Hard disk drive and Noisy-channel coding theorem have 4 things in common (in Unionpedia): Data storage, Digital signal processor, Low-density parity-check code, Reed–Solomon error correction.

Data storage

Data storage is the recording (storing) of information (data) in a storage medium.

Data storage and Hard disk drive · Data storage and Noisy-channel coding theorem · See more »

Digital signal processor

A digital signal processor (DSP) is a specialized microprocessor (or a SIP block), with its architecture optimized for the operational needs of digital signal processing.

Digital signal processor and Hard disk drive · Digital signal processor and Noisy-channel coding theorem · See more »

Low-density parity-check code

In information theory, a low-density parity-check (LDPC) code is a linear error correcting code, a method of transmitting a message over a noisy transmission channel.

Hard disk drive and Low-density parity-check code · Low-density parity-check code and Noisy-channel coding theorem · See more »

Reed–Solomon error correction

Reed–Solomon codes are a group of error-correcting codes that were introduced by Irving S. Reed and Gustave Solomon in 1960.

Hard disk drive and Reed–Solomon error correction · Noisy-channel coding theorem and Reed–Solomon error correction · See more »

The list above answers the following questions

Hard disk drive and Noisy-channel coding theorem Comparison

Hard disk drive has 199 relations, while Noisy-channel coding theorem has 37. As they have in common 4, the Jaccard index is 1.69% = 4 / (199 + 37).

References

This article shows the relationship between Hard disk drive and Noisy-channel coding theorem. To access each article from which the information was extracted, please visit:

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