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\n  \n 2001\n \n \n (1)\n \n \n
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\n \n\n \n \n N. Al-Dhahir; and S N. Diggavi.\n\n\n \n \n \n \n Maximum Throughput Loss of Noisy ISI Channels Due to Narrowband Interference.\n \n \n \n\n\n \n\n\n\n IEEE Communication Letters, 5(6): 233–235. June 2001.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ADj01,\n abstract = {Narrowband interference (NBI) could occur in transmission media such as twisted pair or coaxial cable. We analyzed the effect of such interference on the data throughput for finite-blocklength transmission over noisy inter-symbol interference channels. It was shown that the worst narrowband interference spreads its power over the “sweet spots” of the signal (i.e. where the signal puts highest power). More precisely, the auto-correlation matrix of worst-case narrowband (rank-deficient) interference is shown to have the same eigendirections as the signal. Moreover, if the rank of the covariance matrix of the NBI is M<N (where N is the rank of the signal and M is dimension of the space) then the worst interferer is shown to put its power along the M largest eigendirections of the signal.},\n author = {N. Al-Dhahir and S N. Diggavi},\n file = {:papers:ps:nbi.pdf},\n journal = {IEEE Communication Letters},\n label = {ad_j01},\n month = {June},\n note = {},\n number = {6},\n pages = {233--235},\n tags = {journal,WorstNoise,RobComm,IT},\n title = {Maximum Throughput Loss of Noisy ISI Channels Due to Narrowband Interference},\n type = {2},\n volume = {5},\n year = {2001}\n}\n\n
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\n Narrowband interference (NBI) could occur in transmission media such as twisted pair or coaxial cable. We analyzed the effect of such interference on the data throughput for finite-blocklength transmission over noisy inter-symbol interference channels. It was shown that the worst narrowband interference spreads its power over the “sweet spots” of the signal (i.e. where the signal puts highest power). More precisely, the auto-correlation matrix of worst-case narrowband (rank-deficient) interference is shown to have the same eigendirections as the signal. Moreover, if the rank of the covariance matrix of the NBI is M\n\n\n
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\n \n\n \n \n S N. Diggavi; and T M. Cover.\n\n\n \n \n \n \n Worst additive noise under covariance constraints.\n \n \n \n\n\n \n\n\n\n IEEE Transactions on Information Theory, 47(7): 3072–3081. November 2001.\n \n\n\n\n
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@article{DCj01,\n abstract = {This paper started with a simple question: is the maximum entropy noise the worst noise for additive channels? In the case of scalar channels with a power constraint\non the noise, this is true, as is well known. However, we show that in the vector case, with\ncovariance constraints, the answer is yes and no. Yes, if the transmit power is large enough\nand no otherwise. Along the way we give a solution to the mutual information game with\ncovariance constraints and show that Gaussian solutions form saddle points, but there could\nalso be other saddlepoints. We also demonstrate that the information rates can be achieved\nusing mismatched (Gaussian) decoders.},\n author = {S N. Diggavi and T M. Cover,},\n file = {:papers:ps:worstnoise.pdf},\n journal = {IEEE Transactions on Information Theory},\n label = {dc_j01},\n month = {November},\n note = {},\n number = {7},\n pages = {3072--3081},\n tags = {journal,WorstNoise,RobComm,IT},\n title = {Worst additive noise under covariance constraints},\n type = {2},\n volume = {47},\n year = {2001}\n}\n\n
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\n This paper started with a simple question: is the maximum entropy noise the worst noise for additive channels? In the case of scalar channels with a power constraint on the noise, this is true, as is well known. However, we show that in the vector case, with covariance constraints, the answer is yes and no. Yes, if the transmit power is large enough and no otherwise. Along the way we give a solution to the mutual information game with covariance constraints and show that Gaussian solutions form saddle points, but there could also be other saddlepoints. We also demonstrate that the information rates can be achieved using mismatched (Gaussian) decoders.\n
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\n \n\n \n \n S N. Diggavi; and T M. Cover.\n\n\n \n \n \n \n Is Maximum Entropy Noise the Worst?.\n \n \n \n\n\n \n\n\n\n In International Symposium on Information Theory, Ulm, pages 278, 1997. \n \n\n\n\n
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@inproceedings{DCj97,\n author = {S N. Diggavi and T M. Cover},\n booktitle = {International Symposium on Information Theory, Ulm},\n label = {dc_c97},\n month = {},\n note = {},\n pages = {278},\n tags = {conf,WorstNoise,RobComm,IT},\n title = {Is Maximum Entropy Noise the Worst?},\n type = {4},\n year = {1997}\n}\n\n
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