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Bessel filter

About: Bessel filter is a research topic. Over the lifetime, 656 publications have been published within this topic receiving 16808 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a state space model derived from the mechanical and electrical equations of the system is introduced, which is used for the design of a state-space controller based on a pole placement algorithm, to make the system behave as a fourth order Bessel filter.

3 citations

Proceedings ArticleDOI
15 Jan 2021
TL;DR: In this article, a 6us pulse wave generated in high energy Medical Linear Accelerators developed for treatment of cancer was used to remove unwanted noise from a 6Us pulse wave using MATLAB FDATool which gave similar response as that of Bessel filter.
Abstract: Most of the industries use filtering methods in many fields like telecommunications, biomedical, signal processing and testing etc. Many techniques are available for use in analog as well as digital domains. The important part is to use the techniques which give us high speed and minimum distortion. The work presented in this paper focuses to remove unwanted noise from a 6us pulse wave generated in high energy Medical Linear Accelerators developed for treatment of cancer. As a prototype, pulse wave of 6us is first generated using NI (National Instruments) Multisim software and is also tested in MATLAB and LabView. VHDL (Very High-Speed Integrated Circuit Hardware Description Language) code is then generated for Lowpass Digital FIR (Finite Impulse Response) filter using MATLAB FDATool which gives similar response as that of Bessel filter. The filter is implemented on Spartan 3A XC3S700A series FPGA (Field Programmable Gate Array) and simulated with the help of ISE (Integrated Software Environment) Xilinx (v14.7) software to generate FPGA response. It was observed that FPGAs provide edge in digital filtering process over other techniques in terms of cost effectiveness, design flexibility, high performance and low power consumption in real time implementations.

3 citations

Journal ArticleDOI
TL;DR: An asymptotic formula is derived by using the integration by parts and an interpolation formula is used to evaluate the infinite Bessel transforms by choosing the suitable basis and nodes.
Abstract: In this paper numerical evaluation of infinite Bessel transforms with high frequency is considered. We first derive an asymptotic formula by using the integration by parts. Next we use an interpolation formula to evaluate the infinite Bessel transforms by choosing the suitable basis and nodes. The corresponding error results are proved, and numerical examples are shown to illustrate the efficiency and accuracy of the presented formulae.

3 citations

Book ChapterDOI
01 Jan 2002
TL;DR: In this paper, an analog IIR filter model is designed using an analog filter model, such as the Butterworth, Chebyshev, Cauer, and Bessel types, and the advantage of a Bessel response in an active or passive linear filter is the constant group delay.
Abstract: Infinite impulse response (IIR) filters require fewer delay elements, adders, and multipliers for a given frequency response. Therefore, they are more efficient than finite impulse response (FIR )filters. The disadvantage of IIR filters is their nonlinear phase response. A non-constant group delay means that all frequencies do not experience the same delay. Thus, impulses containing components with a wide range of frequencies will be distorted when passed through an IIR filter. Most IIR filters are designed using an analog filter model. Analog filter models are the familiar Butterworth, Chebyshev, Cauer, Inverse Chebyshev, and Bessel types. Bessel models are not converted into digital filters. The advantage of a Bessel response in an active or passive linear filter is the constant group delay, at the expense of a poor skirt response. FIR filters can produce a constant group delay with far superior skirt response, so they are used where group delay is important.

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20225
20216
20207
201911
201817