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Volumn 20, Issue 1, 2009, Pages 99-114

Simple compression algorithm for memoryless laplacian source based on the optimal companding technique

Author keywords

Companding quantization; Optimal maximal amplitude; Simple lossless compression algorithm

Indexed keywords


EID: 62449095185     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (16)
  • 1
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    • (2001) An Introduction to Optimization
    • Chong, E.K.P.1    Zak, S.H.2
  • 3
    • 85041781910 scopus 로고    scopus 로고
    • Hankerson, D., G.A. Harris and P.D. Johnson Jr. (2004). Introduction Information Theory and Data Compression. 2nd ed. Chapman & HALL/CRC.
    • Hankerson, D., G.A. Harris and P.D. Johnson Jr. (2004). Introduction Information Theory and Data Compression. 2nd ed. Chapman & HALL/CRC.
  • 5
    • 0022685938 scopus 로고
    • A simple derivation of Lloyd's classical result for the optimum scalar quantizer
    • Judell, N., and L. Scharf (1986). A simple derivation of Lloyd's classical result for the optimum scalar quantizer. IEEE Transactions on Information Theory, 32(2), 326-328.
    • (1986) IEEE Transactions on Information Theory , vol.32 , Issue.2 , pp. 326-328
    • Judell, N.1    Scharf, L.2
  • 7
    • 2442507621 scopus 로고    scopus 로고
    • On the support of fixed-rate minimum mean-squared error scalar quantizers for Laplacian source
    • Na, S. (2004). On the support of fixed-rate minimum mean-squared error scalar quantizers for Laplacian source. IEEE Transactions on Infotmation Theory, 50(5), 937-944.
    • (2004) IEEE Transactions on Infotmation Theory , vol.50 , Issue.5 , pp. 937-944
    • Na, S.1
  • 8
    • 0035505048 scopus 로고    scopus 로고
    • On the support of MSE-optimal, fixed-rate, scalar quantizers
    • Na, S., and D.L. Neuhoff (2001). On the support of MSE-optimal, fixed-rate, scalar quantizers. IEEE Transactions on Information Theory, 47(7), 2972-2982.
    • (2001) IEEE Transactions on Information Theory , vol.47 , Issue.7 , pp. 2972-2982
    • Na, S.1    Neuhoff, D.L.2
  • 9
    • 47949123870 scopus 로고    scopus 로고
    • Lloyd-Max's algorithm implementation in speech coding algorithm based on forward adaptive technique
    • Nikolic, J., and Z. Peric (2008). Lloyd-Max's algorithm implementation in speech coding algorithm based on forward adaptive technique. Informatica, 19(2), 255-270.
    • (2008) Informatica , vol.19 , Issue.2 , pp. 255-270
    • Nikolic, J.1    Peric, Z.2
  • 10
    • 0002187673 scopus 로고
    • Quantization distortion in pulse count modulation with nonuniform spacing of levels
    • Panter, P.F., and W. Dite (1951). Quantization distortion in pulse count modulation with nonuniform spacing of levels. In Proc. IRE. pp. 44-48.
    • (1951) Proc. IRE , pp. 44-48
    • Panter, P.F.1    Dite, W.2
  • 11
    • 34547567596 scopus 로고    scopus 로고
    • An effective method for initialization of Lloyd-Max's algorithm of optimal scalar quantization for Laplacian source
    • Perić, Z.H., and J.R. Nikolić (2007). An effective method for initialization of Lloyd-Max's algorithm of optimal scalar quantization for Laplacian source. Informatica, 18(2), 1-10.
    • (2007) Informatica , vol.18 , Issue.2 , pp. 1-10
    • Perić, Z.H.1    Nikolić, J.R.2
  • 12
    • 33846864692 scopus 로고    scopus 로고
    • Estimation of the support region for Laplacian source scalar quantizers
    • Perić, Z.H., J.R. Nikolić and D.M. Pokrajac (2007). Estimation of the support region for Laplacian source scalar quantizers. Journal of Electrical Engineering, 58(1), 47-51.
    • (2007) Journal of Electrical Engineering , vol.58 , Issue.1 , pp. 47-51
    • Perić, Z.H.1    Nikolić, J.R.2    Pokrajac, D.M.3
  • 15
    • 33846354266 scopus 로고    scopus 로고
    • Simple fast and adaptive lossless image compression algorithm
    • Starosolsky, R. (2007). Simple fast and adaptive lossless image compression algorithm. Software-Practice and Experience, 37, 65-91.
    • (2007) Software-Practice and Experience , vol.37 , pp. 65-91
    • Starosolsky, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.