Low-Complexity Inverse Square Root Approximation for Baseband Matrix Operations
Joint Authors
Takala, Jarmo Henrik
Järvinen, Tuomas
Burian, Adrian
Salmela, Perttu
Happonen, Aki
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Baseband functions like channel estimation and symbol detection of sophisticated telecommunications systems require matrix operations, which apply highly nonlinear operations like division or square root.
In this paper, a scalable low-complexity approximation method of the inverse square root is developed and applied in Cholesky and QR decompositions.
Computation is derived by exploiting the binary representation of the fixedpoint numbers and by substituting the highly nonlinear inverse square root operation with a more implementation appropriate function.
Low complexity is obtained since the proposed method does not use large multipliers or look-up tables (LUT).
Due to the scalability, the approximation accuracy can be adjusted according to the targeted application.
The method is applied also as an accelerating unit of an application-specific instruction-set processor (ASIP) and as a software routine of a conventional DSP.
As a result, the method can accelerate any fixed-point system where cost-efficiency and low power consumption are of high importance, and coarse approximation of inverse square root operation is required.
American Psychological Association (APA)
Salmela, Perttu& Burian, Adrian& Järvinen, Tuomas& Happonen, Aki& Takala, Jarmo Henrik. 2011. Low-Complexity Inverse Square Root Approximation for Baseband Matrix Operations. ISRN Signal Processing،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-485365
Modern Language Association (MLA)
Salmela, Perttu…[et al.]. Low-Complexity Inverse Square Root Approximation for Baseband Matrix Operations. ISRN Signal Processing No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-485365
American Medical Association (AMA)
Salmela, Perttu& Burian, Adrian& Järvinen, Tuomas& Happonen, Aki& Takala, Jarmo Henrik. Low-Complexity Inverse Square Root Approximation for Baseband Matrix Operations. ISRN Signal Processing. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-485365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485365