Continuous‐flow variable‐length memoryless linear regression architecture | Zendy

Garrido M. | Zendy; Grajal J. | Zendy

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Continuous‐flow variable‐length memoryless linear regression architecture

Author(s) -

Garrido M.,

Grajal J.

Publication year - 2013

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/el.2013.2106

Subject(s) - linear regression , variable (mathematics) , mathematics , regression analysis , regression , computer science , statistics , mathematical analysis

A pipelined circuit to calculate linear regression is presented. The proposed circuit has the advantages that it can process a continuous flow of data, it does not need memory to store the input samples and supports variable length that can be reconfigured in run time. The circuit is efficient in area, as it consists of a small number of adders, multipliers and dividers. These features make it very suitable for real‐time applications, as well as for calculating the linear regression of a large number of samples.

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