Design of linear phase FIR filters using fractional derivative constraints

Tseng, Chien‐Cheng; Lee, Su-Ling

doi:10.1016/j.sigpro.2011.11.030

Cited by 54 publications

(33 citation statements)

References 13 publications

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“…Ionogram is chosen as incorrectly scaled, if the condition (5) is satisfied and is further manually scaled. FIR filters principles are described in articles [4] and [5].…”

Section: Detection Of Incorrectly Scaled Ionogramsmentioning

confidence: 99%

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Application of Digital Filters to Check Quality of the Automatically Scaled Ionograms

Rejfek

Mošna

Kouba

et al. 2015

Journal of Electrical Engineering

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The ionospheric observatory Pruhonice serves to monitor the state of ionosphere using ground-based vertical sounding instrument -the Digisonde DPS-4D. Measured ionograms are automatically evaluated (scaled) and basic characteristics are derived. The ionograms and the scaled parameters are sent to the international databases. Especially during disturbed conditions the automatic scaling could give unreliable results. This paper presents simple method how to detect accidental errors in automatic scaling based on the parameters derived from ionograms and on an application of the finite impulse response filters.

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“…Ionogram is chosen as incorrectly scaled, if the condition (5) is satisfied and is further manually scaled. FIR filters principles are described in articles [4] and [5].…”

Section: Detection Of Incorrectly Scaled Ionogramsmentioning

confidence: 99%

“…In this case, digital filters can be used for automatically control process of miscalled ionograms. Digital filters are described in [4] and [5]. For our purposes, we use the MA (Moving Average) filters.…”

Section: Introductionmentioning

confidence: 99%

Application of Digital Filters to Check Quality of the Automatically Scaled Ionograms

Rejfek

Mošna

Kouba

et al. 2015

Journal of Electrical Engineering

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“…Fractional order derivative broadened the concept of the classic integer derivative [15,16]. Due to the better accuracy and higher efficiency, it has been widely used in system control and diagnosis, digital filtering, signal and image processing, and other related fields [17][18][19][20]. For spectrum analysis, this algorithm had been introduced in the spectral reflectance pretreatment of saline soil in the Ebinur Lake basin [21].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative

Wang¹,

Tiyip²,

Ding³

et al. 2017

Journal of Spectroscopy

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Soil organic matter (SOM) content is an important index to measure the level of soil function and soil quality. However, conventional studies on estimation of SOM content concerned about the classic integer derivative of spectral data, while the fractional derivative information was ignored. In this research, a total of 103 soil samples were collected in the Ebinur Lake basin, Xinjiang Uighur Autonomous Region, China. After measuring the Vis-NIR (visible and near-infrared) spectroscopy and SOM content indoor, the raw reflectance and absorbance were treated by fractional derivative from 0 to 2nd order (order interval 0.2). Partial least squares regression (PLSR) was applied for model calibration, and five commonly used precision indices were used to assess the performance of these 22 models. The results showed that with the rise of order, these parameters showed the increasing or decreasing trends with vibration and reached the optimal values at the fractional order. A most robust model was calibrated based on 1.8 order derivative of R, with the lowest RMSEC (3.35 g kg

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“…Fractional derivative has very enriched history in mathematics; however recently, it has emerged as a very novel concept in various applications such as image sharpness enhancement [1], de-noising [2], estimation of blur in motion of image [3], image contrast aggravation [4], design of flexible RL and RC circuits [5], design of differentiator and fixed fractional delay FIR filter [6]. Recently, fractional derivative has been exploited for the design of linear phase FIR filter [7]. Therefore, this paper introduces the nature inspired optimization controlled fractional derivative constraints for designing FIR filters.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], authors have designed the FIR filter using fractional derivative constraints but have not proposed any specific method for optimizing all the fractional derivative constraints simultaneously. Therefore, in this work, FIR filter has been designed using cuckoo search nature inspired optimization based fractional derivative constraints, and a comparative study of the performance is made with PSO and ABC based fractional derivative constraints.…”

Section: Introductionmentioning

confidence: 99%

Hybrid method for designing digital FIR filters based on fractional derivative constraints

2015

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Design of linear phase FIR filters using fractional derivative constraints

Cited by 54 publications

References 13 publications

Application of Digital Filters to Check Quality of the Automatically Scaled Ionograms

Application of Digital Filters to Check Quality of the Automatically Scaled Ionograms

Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative

Hybrid method for designing digital FIR filters based on fractional derivative constraints

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