Performance of modified Faddeev algorithm on optical processors

Ghosh, Abhijit; Paparao, P.

doi:10.1049/ip-j.1992.0056

Cited by 3 publications

(1 citation statement)

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“…where A, B, C, and D are matrices with size of (n × n), (n × l), (m × n), and (m × l), respectively, the Schur complement, D + CA −1 B, can be calculated provided that matrix A is nonsingular [4]. First, a row operation is performed to multiply the top row by another matrix W and then to add the result to the bottom row:…”

Section: Schur Complement In the Faddeev Algorithmmentioning

confidence: 99%

A New Pipelined Systolic Array-Based Architecture for Matrix Inversion in FPGAs with Kalman Filter Case Study

Bigdeli

Biglari-Abhari

Salčić

et al. 2006

EURASIP J. Adv. Signal Process.

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A new pipelined systolic array-based (PSA) architecture for matrix inversion is proposed. The pipelined systolic array (PSA) architecture is suitable for FPGA implementations as it efficiently uses available resources of an FPGA. It is scalable for different matrix size and as such allows employing parameterisation that makes it suitable for customisation for application-specific needs. This new architecture has an advantage of O(n) processing element complexity, compared to the O(n 2) in other systolic array structures, where the size of the input matrix is given by n × n. The use of the PSA architecture for Kalman filter as an implementation example, which requires different structures for different number of states, is illustrated. The resulting precision error is analysed and shown to be negligible.

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Section: Schur Complement In the Faddeev Algorithmmentioning

confidence: 99%

A New Pipelined Systolic Array-Based Architecture for Matrix Inversion in FPGAs with Kalman Filter Case Study

Bigdeli

Biglari-Abhari

Salčić

et al. 2006

EURASIP J. Adv. Signal Process.

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Comparing the MESFET and HEMT models for efficient circuit design

Touhami

Yagoub

Baudrand³

2007

Int J Numerical Modelling

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SUMMARYIn this paper, the relative advantages of several widely used MESFET and HEMT models have been compared. The nonlinear behaviours of the Curtice quadratic, Curtice cubic, Statz, Materka, Rodriguez, and Chalmers models were investigated through their current-voltage-temperature characteristics. To better fit such characteristics, neural-based models of MESFET and HEMT were generated using a Levenberg-Marquardt back-propagation algorithm. Close agreement was observed between simulated results and experimental data.

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