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Volumn 4, Issue , 1992, Pages 41-44

Genetic and learning automata algorithms for adaptive digital filters

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; AUDIO SIGNAL PROCESSING; AUTOMATA THEORY; BANDPASS FILTERS; DIGITAL FILTERS; E-LEARNING; GENETIC ALGORITHMS; OPTIMIZATION; SIGNAL PROCESSING; SPEECH COMMUNICATION; STOCHASTIC SYSTEMS;

EID: 85016667472     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1992.226416     Document Type: Conference Paper
Times cited : (29)

References (13)
  • 2
    • 0024648435 scopus 로고    scopus 로고
    • Adaptive IIR filtering
    • Apr.
    • Shynk,J. J.,Adaptive IIR Filtering, IEEE ASSP Mag., Apr. '89, pp. 4-21
    • IEEE ASSP Mag. , vol.89 , pp. 4-21
    • Shynk, J.J.1
  • 3
    • 0024646965 scopus 로고
    • Alternative realizations to adaptive IIR filters and properties of their performance surfaces
    • April
    • Nayeri M. & Jenkins W.K., Alternative Realizations to Adaptive IIR Filters and Properties of their Performance Surfaces, IEEE Trans, on Ckts. and Systems, Vol 36, No. 4, April 1989, pp. 485-496
    • (1989) IEEE Trans, on Ckts. and Systems , vol.36 , Issue.4 , pp. 485-496
    • Nayeri, M.1    Jenkins, W.K.2
  • 5
    • 0026205221 scopus 로고
    • Stochastic learning automata and adaptive digital filters
    • Aug.
    • Tang C.K.K & Mars F.,Stochastic Learning Automata and Adaptive Digital Filters, IEE Proc. F, Vol 138, Aug. 1991, pp. 331-340
    • (1991) IEE Proc. F , vol.138 , pp. 331-340
    • Tang, C.K.K.1    Mars, F.2
  • 6
    • 0014580386 scopus 로고
    • Use of stochastic automata for parameter s elf-optimisation with multi-modal performance criteria
    • Narendra K.S & Shapiro, Use of Stochastic Automata for Parameter S elf-Optimisation with Multi-Modal Performance Criteria, IEEE Trans, on SMC, Oct. 1969, pp. 352-360
    • (1969) IEEE Trans, on SMC, Oct. , pp. 352-360
    • Narendra, K.S.1    Shapiro2
  • 7
    • 0021432680 scopus 로고
    • The asymptotic optimality of discretised LRI learning automata
    • Oomen B. & Hansen, The asymptotic optimality of discretised LRI Learning Automata, IEEE SMC, May/June 1984, pp. 542-545
    • (1984) IEEE SMC, May/June , pp. 542-545
    • Oomen, B.1    Hansen2
  • 8
    • 0021834552 scopus 로고
    • A class of rapidly converging algorithms for learning automata
    • Jan.
    • Thathachar M.A.L & Sastry P.S., A Class of rapidly converging algorithms for Learning Automata, IEEE Trans, on SMC, Vol 15, Jan. 1985, pp. 168-175
    • (1985) IEEE Trans, on SMC , vol.15 , pp. 168-175
    • Thathachar, M.A.L.1    Sastry, P.S.2
  • 9
    • 0025452159 scopus 로고
    • Discretised pursuit learning algorithms
    • July/Aug.
    • Oomem B. & Lanctol, Discretised Pursuit Learning Algorithms, IEEE Trans, on SMC, July/Aug. 1990, pp.931-938
    • (1990) IEEE Trans, on SMC , pp. 931-938
    • Oomem, B.1    Lanctol2
  • 10
    • 0000745830 scopus 로고
    • Comments and additions to an adaptive recursive LMS filter
    • Sept.
    • Johnson & Larimore M.G, Comments and Additions to " An Adaptive Recursive LMS Filter",Fioc. of IEEE, Sept. 1977, pp. 1399-1401
    • (1977) Fioc. of IEEE , pp. 1399-1401
    • Johnson1    Larimore, M.G.2
  • 13
    • 84867068223 scopus 로고
    • Recursive adaptive filter design using an adaptive genetic algorithm
    • Etter D.M et. al., Recursive Adaptive Filter Design using an Adaptive Genetic Algorithm, Proc. of IEEE Conf. on ASSP, 1982, pp.635-638.
    • (1982) Proc. of IEEE Conf. on ASSP , pp. 635-638
    • Etter, D.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.