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Books Results
Source: The Open Library
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1Sensor redundancy management
By Frank Scalzo
“Sensor redundancy management” Metadata:
- Title: Sensor redundancy management
- Author: Frank Scalzo
- Language: English
- Publisher: ➤ National Aeronautics and Space Administration
- Publish Date: 1983
- Publish Location: [Washington, D.C
“Sensor redundancy management” Subjects and Themes:
- Subjects: ➤ Algorithms - Avionics - F-16 aircraft - Probability density functions - Redundancy (Engineering) - Redundancy encoding
Edition Identifiers:
- The Open Library ID: OL16153626M
Access and General Info:
- First Year Published: 1983
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
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Wiki
Source: Wikipedia
Wikipedia Results
Search Results from Wikipedia
Cyclic redundancy check
A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to digital
Entropy coding
In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared
Code
commonly used characters. Today, UTF-8, an encoding of the Unicode character set, is the most common text encoding used on the Internet. Biological organisms
Huffman coding
Construction of Minimum-Redundancy Codes". The output from Huffman's algorithm can be viewed as a variable-length code table for encoding a source symbol (such
Data compression
be encoded as "279 red pixels". This is a basic example of run-length encoding; there are many schemes to reduce file size by eliminating redundancy. The
Delta encoding
– delta encoding greatly reduces data redundancy. Collections of unique deltas are substantially more space-efficient than their non-encoded equivalents
Redundancy (information theory)
negative, one says the set of variables is redundant. Minimum redundancy coding Huffman encoding Data compression Hartley function Negentropy Source coding
Joint encoding
In audio engineering, joint encoding is the joining of several channels of similar information during encoding in order to obtain higher quality, a smaller
Variable-length quantity
techniques to remove the redundancy. Google developed Group Varint Encoding (GVE) after observing that traditional VLQ encoding incurs many CPU branches
Lossless compression
The adaptive encoding uses the probabilities from the previous sample in sound encoding, from the left and upper pixel in image encoding, and additionally