The Experts below are selected from a list of 975 Experts worldwide ranked by ideXlab platform
Yulia B Monakhova - One of the best experts on this subject based on the ideXlab platform.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:Abstract We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the “pure” plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient ( r ), and the Crosscorrelation Function (CC). For samples with r Carretta carretta , one plastic sample was assigned to OPE due to its r = 0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
Mauro Mecozzi - One of the best experts on this subject based on the ideXlab platform.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:Abstract We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the “pure” plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient ( r ), and the Crosscorrelation Function (CC). For samples with r Carretta carretta , one plastic sample was assigned to OPE due to its r = 0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
M Pietroletti - One of the best experts on this subject based on the ideXlab platform.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the Crosscorrelation Function (CC). For samples with r<0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r=0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
-
ftir spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment application to monitoring studies
Marine Pollution Bulletin, 2016Co-Authors: Mauro Mecozzi, M Pietroletti, Yulia B MonakhovaAbstract:Abstract We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the “pure” plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient ( r ), and the Crosscorrelation Function (CC). For samples with r Carretta carretta , one plastic sample was assigned to OPE due to its r = 0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents.
H. Dobbertin - One of the best experts on this subject based on the ideXlab platform.
-
ternary m sequences with three valued Crosscorrelation Function two new decimations
International Symposium on Information Theory, 2000Co-Authors: H. Dobbertin, Tor Helleseth, Vijay Kumar, H M MartinsenAbstract:We show that the Crosscorrelation between two ternary m-sequences of period 3/sup n/-1 that differ by the decimation d=2/spl middot/3/sup m/+1, where n=2m+1, takes on 3 different values. We conjecture the same result for the decimation d=2/spl middot/3/sup r/+1, where n is odd and r is defined by the condition 4r+1/spl equiv/0 mod n. These two new cases form in a sense ternary counterparts of two previously confirmed binary cases, the conjectures of Welch (1968) and Niho (1972).
-
Binary m-sequences with three-valued Crosscorrelation: a proof of Welch's conjecture
IEEE Transactions on Information Theory, 2000Co-Authors: A. Canteaut, P. Charpin, H. DobbertinAbstract:We prove the long-standing conjecture of Welch stating that for odd n=2m+1, the power Function x/sup d/ with d=2/sup m/+3 is maximally nonlinear on GF(2/sup n/) or, in other terms, that the Crosscorrelation Function between a binary maximum-length linear shift register sequence of degree n and a decimation of that sequence by 2/sup m/+3 takes on precisely the three values -1, -1/spl plusmn/2/sup m+1/.
-
Almost perfect nonlinear power Functions on GF(2/sup n/): the Welch case
IEEE Transactions on Information Theory, 1999Co-Authors: H. DobbertinAbstract:We summarize the state of the classification of almost perfect nonlinear (APN) power Functions x/sup d/ on GF(2/sup n/) and contribute two new cases. To prove these cases we derive new permutation polynomials. The first case supports a well-known conjecture of Welch stating that for odd n=2m+1, the power Function x/sup 2m+3/ is even maximally nonlinear or, in other terms, that the Crosscorrelation Function between a binary maximum-length linear shift register sequence of degree n and a decimation of that sequence by 2/sup m/+3 takes on precisely the three values -1, -1/spl plusmn/2/sup m+1/.
B M Popovic - One of the best experts on this subject based on the ideXlab platform.
-
efficient matched filter for the generalized chirp like polyphase sequences
IEEE Transactions on Aerospace and Electronic Systems, 1994Co-Authors: B M PopovicAbstract:The efficient implementation of the matched filter for the generalized chirp-like (GCL) polyphase sequences is presented. These sequences can be classified as the modulatable orthogonal sequences, because they can be modulated by a string of arbitrary complex numbers of unit magnitude, retaining the ideal periodic autocorrelation Function and optimum Crosscorrelation Function. For the applications in spread-spectrum system, where the sequence length can be significantly large, it is highly important to minimize the complexity of the corresponding matched filter. The new efficient implementation of the matched filter is based on the algebraic decomposition of GCL sequences. Some interesting special cases of the efficient pulse compressors, proposed previously for P3 and P4 codes are obtained. The subclass of GCL sequences which permits even more efficient matched filter implementation for any length N=sm/sup 2/ is derived. It is shown that such a subclass of the GCL sequences comprises the so-called generalized Frank sequences, which can be obtained as a special case of the GCL sequences of length N=m/sup 2/. >
-
generalized chirp like polyphase sequences with optimum correlation properties
IEEE Transactions on Information Theory, 1992Co-Authors: B M PopovicAbstract:A new general class of polyphase sequences with ideal periodic autocorrelation Function is presented. The new class of sequences is based on the application of Zadoff-Chu polyphase sequences of length N=sm/sup 2/, where s and m are any positive integers. It is shown that the generalized chirp-like sequences of odd length have the optimum Crosscorrelation Function under certain conditions. Finally, recently proposed generalized P4 codes are derived as a special case of the generalized chirp-like sequence. >