Nonrecursive Digital Filter Design Using the Exponential Window

Avcı, Kemal; Nacaroğlu, Arif

doi:10.1063/1.3525103

Cited by 11 publications

(16 citation statements)

References 5 publications

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“…Contrary to the case in the exponential window [18], the filter length parameter affects the D f -A s relation too, meaning that a filter spectral design equation satisfying for all N values for this relation cannot be obtained for the proposed window. In the same figure, it is also observed that for D f greater than 4.1 rad/s the minimum stopband attenuation does not increase.…”

Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 95%

“…Figure 11 shows the first filter spectral relation between α eh and A s for the filter lengths N = 51 and 127. It is seen that the α eh − A s relation depends on the filter length parameter, while it was shown in [18] that this relation is independent of N for the exponential window. Therefore, a filter spectral design equation satisfying for all N values for this relation cannot be obtained for the proposed window.…”

Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 97%

“…Figure 12 shows the second filter spectral relation between the normalized transition width parameter and the minimum stopband attenuation for N = 51 and 127. The normalized transition width parameter is defined as [4,14,18] …”

Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 99%

“…It is an adjustable window having two independent parameters, namely the window length and the adjustable shape parameter α k . The exponential window, which was proposed by the author [17,18], is another adjustable window with two parameters. As for comparison with the Kaiser window, it was shown in [18] that although the exponential window is computationally efficient in time due to having no power series expansion in its time domain function, it performs worse filtering in terms of the minimum stopband attenuation for fixed filter length and transition width parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, many windows for signal spectrum and digital filter design applications have been * Correspondence: kavci1980@gmail.com proposed [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. According to the number of independent window parameters in their functions, they can be classified as fixed or adjustable [20].…”

Section: Introductionmentioning

confidence: 99%

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Design of fir filters using exponential--Hamming window family

Avcı¹

2016

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a new two-parameter window obtained by the combination of two windows, known as exponential and Hamming, is proposed and applied for the design of finite impulse response (FIR) digital filters. First of all, the quality of the proposed window is analyzed in terms of window spectral parameters and then compared with other two-parameter windows, namely Kaiser, cosh, and exponential. The window simulation results show that the proposed window can provide better ripple ratio than other windows for fixed window length and mainlobe width. Secondly, the performance of the proposed window is analyzed in digital filter design. The filter numerical comparison with Saramaki, Kaiser, Dolph-Chebyshev, cosh, and exponential windows confirms that the filter designed by the proposed window can exhibit a better filtering performance compared to well-known two-parameter windows in the literature because it can provide better minimum stopband attenuation for fixed filter length and transition width.

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Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 95%

Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 97%

Section: Fir Digital Filter Design Using the Proposed Windowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of fir filters using exponential--Hamming window family

Avcı¹

2016

Turk J Elec Eng & Comp Sci

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Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning

Zhao

Jiang

et al. 2022

Lecture Notes in Computer Science

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We present projective parallel single-pixel imaging (pPSI), a 3D photography method that provides a robust and efficient way to analyze the light transport behavior and enables separation of light effect due to global illumination, thereby achieving 3D structured light scanning under global illumination. The light transport behavior is described by the light transport coefficients (LTC), which contain complete information for a projector-camera pair, and is a 4D data set. However, the capture of LTC is generally time consuming. The 4D LTC in pPSI are reduced to projection functions, thereby enabling a highly efficient data capture process. We introduce the local maximum constraint, which provides constraint for the location of candidate correspondence matching points when projections are captured. Local slice extension (LSE) method is introduced to accelerate the capture of projection functions. Optimization is conducted for pPSI under several situations. The number of projection functions required for pPSI is optimized and the influence of capture ratio in LSE on the accuracy of the correspondence matching points is investigated. Discussions and experiments include two typical kinds of global illuminations: inter-reflections and subsurface scattering. The proposed method is validated with several challenging scenarios, and outperforms the state-ofthe-art methods.

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