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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Electronics and Comm...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Electronics and Communications in Japan
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
https://doi.org/10.1201/b18592...
Part of book or chapter of book . 2015 . Peer-reviewed
Data sources: Crossref
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Serial processing FIR inverse filter circuit

Authors: KENJI TAKATO;

Serial processing FIR inverse filter circuit

Abstract

SUMMARYInverse filters are used in many fields, including audio circuits, metal and optical telecom line equalization, and wireless equalization. The purpose of such filters is to compensate for distortion in the signal caused by the transmission medium. Design methods for an inverse filter using an IIR filter, FFT/IFFT, and an adaptive FIR filter are available. However, an IIR filter has some problems as regards stability. The FFT/IFFT method requires significant calculation and the adaptive FIR filter needs substantial time. This paper proposes a new method of generating the FIR inverse filter coefficients through serial calculations of the impulse response and its expected value. At first, all coefficients of the FIR filter except the first are set to zero. When an input of the impulse response data XN is applied to the filter, the temporal output of the FIR filter WN is compared to the expectation value EN, and the FIR inverse filter coefficients gN are calculated using step by step. This algorithm is simulated by calculations in Excel. The FPGA circuit is synthesized using VHDL and a behavior model is simulated using the ISE design tool. The coefficients of the filter are generated during the input period of the data XN. Therefore, real‐time inverse filter circuit generation is possible.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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