An effective processing on a digital signal processor with complex arithmetic capability

Negishi, Yoshimasa; Watanabe, Eiji; Nishihara, A.; Yanagisawa, Takufumi

doi:10.1109/apccas.1998.743896

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…One complex multiplication requires four real multiplications and two real additions. However, some complex arithmetic methods have been developped to achive complex multiplications in DSP efficiently [11]. A CVNN has the potential to improve the computational complexity of the nonlinear equalizers.…”

Section: Resultsmentioning

confidence: 99%

Experimental demonstration of SPM compensation using a complex-valued neural network for 40-Gbit/s optical 16QAM signals

et al. 2019

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We experimentally demonstrate a novel nonlinearity-mitigation scheme based on a complex-valued neural network (CVNN) which is constructed by artificial neurons with complex-valued input and output. The in-phase (I) and quadrature (Q) components of optical signal are operated as complex values in the CVNN. A 40-Gbit/s optical 16QAM signal distorted by SPM was successfully compensated, improving error vector magnitude (EVM) by about 15%. The learning speed of the nonlinear equalizer was improved by using the CVNN, compared with conventional real-valued neural network (RVNN). Furthermore, the study show that CVNN has the potential to improve the computational complexity of RVNN.

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Section: Resultsmentioning

confidence: 99%

Experimental demonstration of SPM compensation using a complex-valued neural network for 40-Gbit/s optical 16QAM signals

et al. 2019

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“…We have also proposed the structures of a complex multiplier for the 4op-RMA. [2][3][4] By applying 4op-RMA to transversal, IIR direct-I and IIR direct-II circuits, which have real coefficients, the obtained performance is almost twice better than the conventional implementations.…”

Section: Introductionmentioning

confidence: 99%

An Implementation of Lattice Filters Using Four Operands Real Multiply Accumulation

Negishi

Watanabe

Nishihara

2002

J CIRCUIT SYST COMP

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Four operands Real Multiply Accumulation (4op-RMA) is a method to implement transversal circuits, direct form circuits and 2D type circuits with real coefficients by using a complex multiplier. Digital Signal Processors (DSPs) with 4op-RMA implement these circuits twice as fast as the conventional ones. Besides, we can simplify the programs on such DSPs. However 4op-RMA have not been applied to the lattice circuits yet because of their circuit structures. In this paper, we propose an implementation method for the lattice circuits by using 4op-RMA. The lattice part can be calculated by a 4op-RMA operation, which corresponds to a complex multiplication.

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An effective processing on a digital signal processor with complex arithmetic capability

Cited by 2 publications

References 2 publications

Experimental demonstration of SPM compensation using a complex-valued neural network for 40-Gbit/s optical 16QAM signals

Experimental demonstration of SPM compensation using a complex-valued neural network for 40-Gbit/s optical 16QAM signals

An Implementation of Lattice Filters Using Four Operands Real Multiply Accumulation

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