Impulse response approximation of digital finite impulse response filter with delay line units

Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementa...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Skripniks, D. [verfasserIn] Sarkovskis, S. [verfasserIn] Yershov, A. [verfasserIn] Grab, E. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Delay line Hilbert filter Impulse Response Signal envelope

Übergeordnetes Werk:	Enthalten in: Automatic control and computer sciences - New York, NY : Allerton Press, 2007, 51(2017), 4 vom: Juli, Seite 279-284
Übergeordnetes Werk:	volume:51 ; year:2017 ; number:4 ; month:07 ; pages:279-284

Links:	Volltext

DOI / URN:	10.3103/S0146411617040071

Katalog-ID:	SPR023128763

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520			\|a Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation.
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700	1		\|a Sarkovskis, S. \|e verfasserin \|4 aut
700	1		\|a Yershov, A. \|e verfasserin \|4 aut
700	1		\|a Grab, E. \|e verfasserin \|4 aut
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912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
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912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
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912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
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912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
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912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
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912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
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912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
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912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
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912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2116
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2119
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912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
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912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4242
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912			\|a GBV_ILN_4249
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author_variant	d s ds s s ss a y ay e g eg
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hierarchy_sort_str	2017
publishDate	2017
allfields	10.3103/S0146411617040071 doi (DE-627)SPR023128763 (SPR)S0146411617040071-e DE-627 ger DE-627 rakwb eng 004 ASE Skripniks, D. verfasserin aut Impulse response approximation of digital finite impulse response filter with delay line units 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation. Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213 Sarkovskis, S. verfasserin aut Yershov, A. verfasserin aut Grab, E. verfasserin aut Enthalten in Automatic control and computer sciences New York, NY : Allerton Press, 2007 51(2017), 4 vom: Juli, Seite 279-284 (DE-627)535181450 (DE-600)2375033-9 1558-108X nnns volume:51 year:2017 number:4 month:07 pages:279-284 https://dx.doi.org/10.3103/S0146411617040071 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 51 2017 4 07 279-284
spelling	10.3103/S0146411617040071 doi (DE-627)SPR023128763 (SPR)S0146411617040071-e DE-627 ger DE-627 rakwb eng 004 ASE Skripniks, D. verfasserin aut Impulse response approximation of digital finite impulse response filter with delay line units 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation. Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213 Sarkovskis, S. verfasserin aut Yershov, A. verfasserin aut Grab, E. verfasserin aut Enthalten in Automatic control and computer sciences New York, NY : Allerton Press, 2007 51(2017), 4 vom: Juli, Seite 279-284 (DE-627)535181450 (DE-600)2375033-9 1558-108X nnns volume:51 year:2017 number:4 month:07 pages:279-284 https://dx.doi.org/10.3103/S0146411617040071 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 51 2017 4 07 279-284
allfields_unstemmed	10.3103/S0146411617040071 doi (DE-627)SPR023128763 (SPR)S0146411617040071-e DE-627 ger DE-627 rakwb eng 004 ASE Skripniks, D. verfasserin aut Impulse response approximation of digital finite impulse response filter with delay line units 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation. Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213 Sarkovskis, S. verfasserin aut Yershov, A. verfasserin aut Grab, E. verfasserin aut Enthalten in Automatic control and computer sciences New York, NY : Allerton Press, 2007 51(2017), 4 vom: Juli, Seite 279-284 (DE-627)535181450 (DE-600)2375033-9 1558-108X nnns volume:51 year:2017 number:4 month:07 pages:279-284 https://dx.doi.org/10.3103/S0146411617040071 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 51 2017 4 07 279-284
allfieldsGer	10.3103/S0146411617040071 doi (DE-627)SPR023128763 (SPR)S0146411617040071-e DE-627 ger DE-627 rakwb eng 004 ASE Skripniks, D. verfasserin aut Impulse response approximation of digital finite impulse response filter with delay line units 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation. Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213 Sarkovskis, S. verfasserin aut Yershov, A. verfasserin aut Grab, E. verfasserin aut Enthalten in Automatic control and computer sciences New York, NY : Allerton Press, 2007 51(2017), 4 vom: Juli, Seite 279-284 (DE-627)535181450 (DE-600)2375033-9 1558-108X nnns volume:51 year:2017 number:4 month:07 pages:279-284 https://dx.doi.org/10.3103/S0146411617040071 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 51 2017 4 07 279-284
allfieldsSound	10.3103/S0146411617040071 doi (DE-627)SPR023128763 (SPR)S0146411617040071-e DE-627 ger DE-627 rakwb eng 004 ASE Skripniks, D. verfasserin aut Impulse response approximation of digital finite impulse response filter with delay line units 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation. Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213 Sarkovskis, S. verfasserin aut Yershov, A. verfasserin aut Grab, E. verfasserin aut Enthalten in Automatic control and computer sciences New York, NY : Allerton Press, 2007 51(2017), 4 vom: Juli, Seite 279-284 (DE-627)535181450 (DE-600)2375033-9 1558-108X nnns volume:51 year:2017 number:4 month:07 pages:279-284 https://dx.doi.org/10.3103/S0146411617040071 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 51 2017 4 07 279-284
language	English
source	Enthalten in Automatic control and computer sciences 51(2017), 4 vom: Juli, Seite 279-284 volume:51 year:2017 number:4 month:07 pages:279-284
sourceStr	Enthalten in Automatic control and computer sciences 51(2017), 4 vom: Juli, Seite 279-284 volume:51 year:2017 number:4 month:07 pages:279-284
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Delay line Hilbert filter Impulse Response Signal envelope
dewey-raw	004
isfreeaccess_bool	false
container_title	Automatic control and computer sciences
authorswithroles_txt_mv	Skripniks, D. @@aut@@ Sarkovskis, S. @@aut@@ Yershov, A. @@aut@@ Grab, E. @@aut@@
publishDateDaySort_date	2017-07-01T00:00:00Z
hierarchy_top_id	535181450
dewey-sort	14
id	SPR023128763
language_de	englisch
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author	Skripniks, D.
spellingShingle	Skripniks, D. ddc 004 misc Delay line misc Hilbert filter misc Impulse Response misc Signal envelope Impulse response approximation of digital finite impulse response filter with delay line units
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topic_title	004 ASE Impulse response approximation of digital finite impulse response filter with delay line units Delay line (dpeaa)DE-He213 Hilbert filter (dpeaa)DE-He213 Impulse Response (dpeaa)DE-He213 Signal envelope (dpeaa)DE-He213
topic	ddc 004 misc Delay line misc Hilbert filter misc Impulse Response misc Signal envelope
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title	Impulse response approximation of digital finite impulse response filter with delay line units
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title_full	Impulse response approximation of digital finite impulse response filter with delay line units
author_sort	Skripniks, D.
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author_browse	Skripniks, D. Sarkovskis, S. Yershov, A. Grab, E.
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title_sort	impulse response approximation of digital finite impulse response filter with delay line units
title_auth	Impulse response approximation of digital finite impulse response filter with delay line units
abstract	Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation.
abstractGer	Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation.
abstract_unstemmed	Abstract This article proposes special digital filtering structures formed by one multiplier, one adder and a delay line. Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. This article shows an example of the 30-th order Hilbert filter calculation, which requires only 6 multipliers for implementation.
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title_short	Impulse response approximation of digital finite impulse response filter with delay line units
url	https://dx.doi.org/10.3103/S0146411617040071
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author2	Sarkovskis, S. Yershov, A. Grab, E.
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doi_str	10.3103/S0146411617040071
up_date	2024-07-03T17:03:18.919Z
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Such structures can be used to synthesize finite impulse response Hilbert filter. The advantage of such approach is reduced number of multipliers, compared to standard implementation. The quotients of structures can be calculated by local optimization methods. 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Impulse response approximation of digital finite impulse response filter with delay line units

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