The Use of Local Linear Transforms to Reduce the Size of a Two-Dimensional Associative Memory

The Use of Local Linear Transforms to Reduce the Size of a Two-Dimensional Associative Memory

We discuss associative memory in the analysis of two-dimensional data where the variables are transformed before data accumulation. Local linear transforms reduce the number of associative locations required, while a two-dimensional search scheme shortens the search among the fewer locations. Applic...

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Veröffentlicht in:IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci., NS-15: 170- 4(Feb. 1968) Trans. Nucl. Sci., NS-15: 170- 4(Feb. 1968), 1968, Vol.15 (1), p.170-174
1. Verfasser: Haines, Eldon L.
Format: Artikel
Sprache:eng
Schlagworte:
Application software
Associative memory
COMPUTERS
COMPUTERS/memory in, use of local linear transforms for size reduction of two-dimensional associative
CONFIGURATION
Data analysis
Electron emission
Laboratories
MATHEMATICS
MEMORY DEVICES
MEMORY DEVICES/size of two-dimensional associative, use of local linear transforms for reduction of
N26400 -Instrumentation-Miscellaneous Instruments & Components
Phase measurement
Polynomials
Propulsion
Pulse measurements
RECORDING SYSTEMS
Smoothing methods
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Zusammenfassung:We discuss associative memory in the analysis of two-dimensional data where the variables are transformed before data accumulation. Local linear transforms reduce the number of associative locations required, while a two-dimensional search scheme shortens the search among the fewer locations. Application of these methods results in some saving of memory space and an appreciable saving in execution time.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.1968.4324850