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2D Cortex Transform combines both frequency selectivity and orientation selectivity of the HVS.
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Hilbert transform combined with empirical mode decomposition method is used.
The PAPR and symbol error rate of these three unitary transform combined with GFDM are analyzed as well.
A procedure using the finite Mellin transform combined with the Laplace transform was proposed for solving these problems.
Classical software and hardware optimizations have been applied: SIMDization and loop-fusion transform combined with AoS-SoA transform to accelerate the kernel of the algorithm.
A point-sink solution of the model is developed first by a general transform combining Fourier sine and cosine transforms and then by Fourier transform and Laplace transform.
In this paper, we propose a new method to implement an active contour model using Daubechies complex wavelet transform combined with B-Spline based on context aware.
In this paper, a super-resolution imaging method based on Radon transform combined with time chirp distribution search (TCDS) procedure is proposed.
In this paper, we propose a new method to implement an active contour model using Daubechies complex wavelet transform combined with B-Spline based on context-aware (DCWTBCA).
In this paper, the image contour model with Daubechies complex wavelet transform combined with B-Spline based on context-aware is proposed.
We have compared the results with the other recent methods such as the method based on simple discrete wavelet transform (DWT), and the Daubechies complex wavelet transform (DCWT), the Daubechies complex wavelet transform combined with B-Spline (DCWTB) and the proposed method using the Daubechies complex wavelet transform combined with B-spline based on context aware.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com