Study on optical finite impulse response filter

Zhou, Ying; Zeng, Guoxun; Yu, Feihong; Kwok, Hoi Sing

doi:10.1117/1.1586289

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…Here θ i (i ≠ n) is the relative angle of each retarder and θ n is the relative angle of the analyzer as described in [16].…”

Section: Fast Iterative Algorithmsmentioning

confidence: 99%

“…The output, Eitalicout, is determined by Jones matrix [16,20]. Here θi (i≠n) is the relative angle of each retarder and θn is the relative angle of the analyzer as described in [16]. …”

Section: Optical Finite Impulse Response Filtermentioning

confidence: 99%

“…To improve the performance of the classical methods, many researchers have utilized heuristic evolutionary optimization algorithms such as Genetic Algorithm (GA), Differential Evolution (DE), and Swarm Optimization (SO). For example, an optical finite impulse response (FIR) filter design methods based on crystal birefringence to produce arbitrary spectrum output are presented where a typical example of a green/magenta filter used in a liquid crystal on silicon projection display is synthesized [16,17]. An example of birefringent equalizing filter suitable for dispersion compensation in wavelength division multiplexed (WDM) communication systems is presented in [18].…”

Section: Introductionmentioning

confidence: 99%

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Fast iterative algorithms for birefringent filter design

Boukharouba

2020

ACI

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Fast iterative algorithms for designing birefringent filters with any specified spectral response are proposed. From the Jones formalism, we derive two polynomials representing the transmitted and rejected response of the filter, respectively. Once the coefficients of the filters are obtained, the orientation angle of each birefringent section and the phase shift introduced by each compensator can be determined by an iterative algorithm that gives an efficient solution to the birefringent filter design problem. Afterward, some design examples are presented to demonstrate the effectiveness of the proposed approach. In comparison with results reported in the literature, this approach provides the best performance in terms of accuracy and time complexity.

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“…Here θ i (i ≠ n) is the relative angle of each retarder and θ n is the relative angle of the analyzer as described in [16].…”

Section: Fast Iterative Algorithmsmentioning

confidence: 99%

“…The output, Eitalicout, is determined by Jones matrix [16,20]. Here θi (i≠n) is the relative angle of each retarder and θn is the relative angle of the analyzer as described in [16]. …”

Section: Optical Finite Impulse Response Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fast iterative algorithms for birefringent filter design

Boukharouba

2020

ACI

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“…In order to satisfy the step down recursion, two conditions have to be satisfied [13]. First, the 0th term in bracketed polynomial in (17) and the Nth term in the polynomial (18) must cancel out to zero. To achieve this, N must satisfies either one of the following two equations:…”

Section: Formulation Of Pmd Compensating Filtermentioning

confidence: 99%

“…is the optical frequency, i is the relative rotation angle, and Á i is the time delay between the two PSPs of each section. The time delay Á i is given by [16,17]:…”

Section: Theoretical Modeling Of Pmdmentioning

confidence: 99%

First-order PMD compensation using optical FIR filter

Khadra¹,

Dimyati²

2008

Journal of Modern Optics

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We present a synthesis algorithm to design an optical finite impulse response (FIR) filter for compensating a first-order polarization mode dispersion (PMD) by minimizing the differential group delay (DGD). The desired frequency response was approximated using two widely used methods in designing digital FIR filters: the Fourier series expansion method and the frequency sampling method. A numerical simulation was performed for an eighth-order filter to demonstrate the difference between the two methods. The simulation results produced a sharper cutoff for the Fourier series expansion and higher stopband attenuation for the frequency sampling method. The Fourier series method produced better results in reducing the DGD.

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Research on optimization of valve open time of the launch barge’s ballast tanks

Sun

Zhuo-shang

2009

J. Marine. Sci. Appl.

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Launch barge is an effective tool for transporting ship segments from one place to another in shipyards. During shifting of segments onto a barge, the slideway on the barge's deck must be adjusted to maintain the same level as the wharf and also the barge must be kept level by adjusting the water in the ballast tanks. When to open the adjusting valves is an important factor influencing the barge's trim during the water-adjustment process. Because these adjustments are complex a mathematical model was formulated,after analyzing the characteristics of the process of moving the segments onto the barges deck, and considering the effects of this movement's speed and variations in tidal levels during the move. Then the model was solved by the penalty function method, the grid method, and improved simulated annealing, respectively. The best optimization model and its corresponding solution were then determined. Finally, it was proven that the model and the method adopted are correct and suitable, by calculating and analysing an example.

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Study on optical finite impulse response filter

Cited by 5 publications

References 5 publications

Fast iterative algorithms for birefringent filter design

Fast iterative algorithms for birefringent filter design

First-order PMD compensation using optical FIR filter

Research on optimization of valve open time of the launch barge’s ballast tanks

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