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Two-dimensional frequency estimation using non-unitary joint diagonalisation

Two-dimensional frequency estimation using non-unitary joint diagonalisation

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© The Institution of Engineering and Technology
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Joint diagonalisation (JD) is an effective tool in many signal processing applications. A non-unitary JD method is proposed to estimate the two-dimensional (2D) frequencies. Experiments show that the proposed algorithm achieves good performance and the estimated 2D frequencies can be paired automatically.

Inspec keywords: frequency estimation; least squares approximations; signal processing

Other keywords: signal processing; multistage decomposition algorithm; two-dimensional frequency estimation; nonunitary joint diagonalisation; least-squares criterion; cost function

Subjects: Other topics in statistics; Signal processing theory; Other topics in statistics; Interpolation and function approximation (numerical analysis); Signal processing and detection; Interpolation and function approximation (numerical analysis)

References

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      • Vanpoucke, F., Moone, M., Berthoumieu, Y.: `An efficient subspace algorithm for 2D harmonic retrieval', Proc. ICASSP, 1994, Adelaide, Australia, p. 461–464.
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      • Rao, D.V.B., Kung, S.Y.: `A state-space approach for the 2D harmonic retrieval problem', Proc. ICASSP, 1984, Adelaide, Australia, p. 4101–4104.
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      • Y. Zhou , D.-Z. Feng , J.-Q. Liu . A novel algorithm for two-dimensional frequency estimation. Signal Process. , 1 , 1 - 12
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