Universally attainable error exponents for rate-distortion coding of noisy sources

Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/sup n/=(X/sub 1/,...,X/sub n/), based on a noise-corrupted observation sequence Z/sup n/, which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is X/sup n/. Supp...

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Veröffentlicht in:IEEE transactions on information theory Jg. 50; H. 6; S. 1229 - 1246
1. Verfasser: Weissman, T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9448, 1557-9654
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Abstract Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/sup n/=(X/sub 1/,...,X/sub n/), based on a noise-corrupted observation sequence Z/sup n/, which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is X/sup n/. Suppose that there is some uncertainty in the source distribution, in the channel characteristics, or in both. Equivalently, suppose that the distribution of the pairs (X/sub i/,Z/sub i/), rather than completely being known, is only known to belong to a set /spl Theta/. Suppose further that the relevant performance criterion is the probability of excess distortion, i.e., letting X/spl circ//sup n/(Z/sup n/) denote the reconstruction, we are interested in the behavior of P/sub /spl theta//(/spl rho/(X/sup n/,X/spl circ//sup n/(Z/sup n/))>d/sub /spl theta//), where /spl rho/ is a (normalized) block distortion induced by a single-letter distortion measure and P/sub /spl theta// denotes the probability measure corresponding to the case where (X/sub i/,Z/sub i/)/spl sim//spl theta/, /spl theta//spl isin//spl Theta/. Since typically this probability will either not decay at all or do so at an exponential rate, it is the rate of this decay which we focus on. More concretely, for a given rate R /spl ges/ 0 and a family of distortion levels {d/sub /spl theta//}/sub /spl theta//spl isin//spl Theta//, we are interested in families of exponential levels {I/sub /spl theta//}/sub /spl theta//spl isin//spl Theta// which are achievable in the sense that for large n there exist rate-R schemes satisfying -1/nlog P/sub /spl theta// (/spl rho/(X/sup n/, X/spl circ//sup n/(Z/sup n/)) > d/sub /spl theta//) /spl ges/ I/sub /spl theta//, for all /spl theta/ /spl isin/ /spl Theta/. Our main result is a complete "single-letter" characterization of achievable levels {I/sub /spl theta//}/sub /spl theta//spl isin//spl Theta// per any given triple (/spl Theta/,R,{d/sub /spl theta//}/sub /spl theta//spl isin//spl Theta//). Equipped with this result, we later turn to addressing the question of the "right" choice of {I/sub /spl theta//}/spl theta//spl isin//spl Theta/. Relying on methodology recently put forth by Feder and Merhav in the context of the composite hypothesis testing problem, we propose a competitive minimax approach for the choice of these levels and apply our main result for characterizing the associated key quantities. Subsequently, we apply the main result to characterize optimal performance in a Neyman-Pearson-like setting, where there are two possible noise-corrupted signals. In this problem, the goal of the observer of the noisy signal, rather than having to determine which of the two it is (as in the hypothesis testing problem), is to reproduce the underlying clean signal with as high a fidelity as possible (e.g., lowest number of symbol errors when distortion measure is Hamming), under the assumption that one source is active, while operating at a limited information rate R and subject to a constraint on the fidelity of reconstruction when the other source is active. Finally, we apply our result to characterize a sufficient condition for the source class /spl Theta/ to be universally encodable in the sense of the existence of schemes attaining the optimal distribution-dependent exponent, simultaneously for all sources in the class. This condition was shown in an earlier work to suffice for universality in expectation.
AbstractList Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal Xn = (X1,..., Xn.), based on a noise-corrupted observation sequence Zn, which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is Xn. Suppose that there is some uncertainty in the source distribution, in the channel characteristics, or in both. Equivalently, suppose that the distribution of the pairs (Xi, Zi), rather than completely being known, is only known to belong to a set theta. Suppose further that the relevant performance criterion is the probability of excess distortion, i.e., letting Xn(Zn) denote the reconstruction, we are interested in the behavior of P theta (rho(Xn, Xn(Zn)) > d theta), where rho is a (normalized) block distortion induced by a single-letter distortion measure and P theta denotes the probability measure corresponding to the case where (Xi, Zi) ~ theta, theta belongs to theta. Since typically this probability will either not decay at all or do so at an exponential rate, it is the rate of this decay which we focus on. More concretely, for a given rate R >= 0 and a family of distortion levels {d theta} theta belongs to theta, we are interested in families of exponential levels {I theta} theta belongs to theta which are achievable in the sense that for large n there exist rate-R schemes satisfying - 1/n log P theta (rho(Xn, Xn (Zn)) > d theta) >= I theta, for all theta belongs to theta. Our main result is a complete "single-letter" characterization of achievable levels {I theta} theta belongs to theta per any given triple (theta, R, {d theta} theta belongs to theta). Equipped with this result, we later turn to addressing the question of the "right" choice of {I theta} theta belongs to theta. Relying on methodology recently put forth by Feder and Merhav in the context of the composite hypothesis testing problem, we propose a competitive minimax approach for the choice of these levels and apply our main result for characterizing the associated key quantities. Subsequently, we apply the main result to characterize optimal performance in a Neyman-Pearson-like setting, where there are two possible noise-corrupted signals. In this problem, the goal of the observer of the noisy signal, rather than having to determine which of the two it is (as in the hypothesis testing problem), is to reproduce the underlying clean signal with as high a fidelity as possible (e.g., lowest number of symbol errors when distortion measure is Hamming), under the assumption that one source is active, while operating at a limited information rate R and subject to a constraint on the fidelity of reconstruction when the other source is active. Finally, we apply our result to characterize a sufficient condition for the source class theta to be universally encodable in the sense of the existence of schemes attaining the optimal distribution-dependent exponent, simultaneously for all sources in the class. This condition was shown in an earlier work to suffice for universality in expectation. [PUBLICATION ABSTRACT]
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/sup n/=(X/sub 1/,...,X/sub n/), based on a noise-corrupted observation sequence Z/sup n/, which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is X/sup n/. Suppose that there is some uncertainty in the source distribution, in the channel characteristics, or in both. Equivalently, suppose that the distribution of the pairs (X/sub i/,Z/sub i/), rather than completely being known, is only known to belong to a set /spl Theta/. Suppose further that the relevant performance criterion is the probability of excess distortion, i.e., letting X/spl circ//sup n/(Z/sup n/) denote the reconstruction, we are interested in the behavior of P/sub /spl theta//(/spl rho/(X/sup n/,X/spl circ//sup n/(Z/sup n/))>d/sub /spl theta//), where /spl rho/ is a (normalized) block distortion induced by a single-letter distortion measure and P/sub /spl theta// denotes the probability measure corresponding to the case where (X/sub i/,Z/sub i/)/spl sim//spl theta/, /spl theta//spl isin//spl Theta/. Since typically this probability will either not decay at all or do so at an exponential rate, it is the rate of this decay which we focus on. More concretely, for a given rate R /spl ges/ 0 and a family of distortion levels {d/sub /spl theta//}/sub /spl theta//spl isin//spl Theta//, we are interested in families of exponential levels {I/sub /spl theta//}/sub /spl theta//spl isin//spl Theta// which are achievable in the sense that for large n there exist rate-R schemes satisfying -1/nlog P/sub /spl theta// (/spl rho/(X/sup n/, X/spl circ//sup n/(Z/sup n/)) > d/sub /spl theta//) /spl ges/ I/sub /spl theta//, for all /spl theta/ /spl isin/ /spl Theta/. Our main result is a complete "single-letter" characterization of achievable levels {I/sub /spl theta//}/sub /spl theta//spl isin//spl Theta// per any given triple (/spl Theta/,R,{d/sub /spl theta//}/sub /spl theta//spl isin//spl Theta//). Equipped with this result, we later turn to addressing the question of the "right" choice of {I/sub /spl theta//}/spl theta//spl isin//spl Theta/. Relying on methodology recently put forth by Feder and Merhav in the context of the composite hypothesis testing problem, we propose a competitive minimax approach for the choice of these levels and apply our main result for characterizing the associated key quantities. Subsequently, we apply the main result to characterize optimal performance in a Neyman-Pearson-like setting, where there are two possible noise-corrupted signals. In this problem, the goal of the observer of the noisy signal, rather than having to determine which of the two it is (as in the hypothesis testing problem), is to reproduce the underlying clean signal with as high a fidelity as possible (e.g., lowest number of symbol errors when distortion measure is Hamming), under the assumption that one source is active, while operating at a limited information rate R and subject to a constraint on the fidelity of reconstruction when the other source is active. Finally, we apply our result to characterize a sufficient condition for the source class /spl Theta/ to be universally encodable in the sense of the existence of schemes attaining the optimal distribution-dependent exponent, simultaneously for all sources in the class. This condition was shown in an earlier work to suffice for universality in expectation.
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X super(n)=(X sub(1),...,X sub(n)), based on a noise-corrupted observation sequence Z super(n), which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is X super(n). Suppose that there is some uncertainty in the source distribution, in the channel characteristics, or in both. Equivalently, suppose that the distribution of the pairs (X sub(i),Z sub(i)), rather than completely being known, is only known to belong to a set Theta . Suppose further that the relevant performance criterion is the probability of excess distortion, i.e., letting X[circumflex] super(n)(Z super(n) ) denote the reconstruction, we are interested in the behavior of P sub([thetas])( rho (X super(n) ,X[circumflex] super(n)(Z super(n)))>d sub([thetas])), where rho is a (normalized) block distortion induced by a single-letter distortion measure and P sub([thetas]) denotes the probability measure corresponding to the case where (X sub(i),Z sub(i)) similar to ; 8; , [thetas][isin] Theta . Since typically this probability will either not decay at all or do so at an exponential rate, it is the rate of this decay which we focus on. More concretely, for a given rate R greater than or equal to 0 and a family of distortion levels {d sub([thetas])} sub([thetas][isin]9 8; ), we are interested in families of exponential levels {I sub([thetas])} sub([thetas][isin]9 8; ) which are achievable in the sense that for large n there exist rate-R schemes satisfying -1/nlog P sub([thetas]) ( rho (X super(n), X[circumflex] super(n)(Z super(n) )) > d sub([thetas])) greater than or equal to I sub([thetas]), for all [thetas] [isin] Theta . Our main result is a complete "single-letter" characterization of achievable levels {I sub([thetas])} sub([thetas][isin]9 8; ) per any given triple ( Theta ,R,{d sub([thetas])} sub([thetas]&# x2208; Theta )). Equipped with this result, we later turn to addressing the question of the "right" choice of {I sub([thetas])}[thetas][isin] Theta . Relying on methodology recently put forth by Feder and Merhav in the context of the composite hypothesis testing problem, we propose a- competitive minimax approach for the choice of these levels and apply our main result for characterizing the associated key quantities. Subsequently, we apply the main result to characterize optimal performance in a Neyman-Pearson-like setting, where there are two possible noise-corrupted signals. In this problem, the goal of the observer of the noisy signal, rather than having to determine which of the two it is (as in the hypothesis testing problem), is to reproduce the underlying clean signal with as high a fidelity as possible (e.g., lowest number of symbol errors when distortion measure is Hamming), under the assumption that one source is active, while operating at a limited information rate R and subject to a constraint on the fidelity of reconstruction when the other source is active. Finally, we apply our result to characterize a sufficient condition for the source class Theta to be universally encodable in the sense of the existence of schemes attaining the optimal distribution-dependent exponent, simultaneously for all sources in the class. This condition was shown in an earlier work to suffice for universality in expectation.
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/n/=(X(1),...,X/n/), based on a noise-corrupted observation sequence Z/n/, which is the finite-alphabet output of a discrete memoryless channel (DMC) whose input is X/n/. Suppose that there is some uncertainty in the source distribution, in the channel characteristics, or in both. Equivalently, suppose that the distribution of the pairs (X/i/,Z/i/), rather than completely being known, is only known to belong to a set /Theta/. Suppose further that the relevant performance criterion is the probability of excess distortion, i.e., letting Xo/n/(Z/n/) denote the reconstruction, we are interested in the behavior of P//theta//(rho(X/n/,Xo/n/(Z/n/)) > d//theta//), where rho is a (normalized) block distortion induced by a single-letter distortion measure and P//theta// denotes the probability measure corresponding to the case where (X/i/,Z/i/)~/theta/, /theta//isin//Theta/. Since typically this probability will either not decay at all or do so at an exponential rate, it is the rate of this decay which we focus on. More concretely, for a given rate R /ges/ 0 and a family of distortion levels {d//theta//}//theta//isin//Theta//, we are interested in families of exponential levels {I//theta//}//theta//isin//Theta// which are achievable in the sense that for large n there exist rate-R schemes satisfying -1/nlog P//theta// (rho(X/n/, Xo/n/(Z/n/)) > d//theta//) /ges/ I//theta//, for all /theta/ /isin/ /Theta/. Our main result is a complete "single-letter" characterization of achievable levels {I//theta//}//theta//isin//Theta// per any given triple (/Theta/,R,{d//theta//}//theta//isin//Theta//). Equipped with this result, we later turn to addressing the question of the "right" choice of {I//theta//}/theta//isin//Theta/. Relying on methodology recently put forth by Feder and Merhav in the context of the composite hypothesis testing problem, we propose a- competitive minimax approach for the choice of these levels and apply our main result for characterizing the associated key quantities. Subsequently, we apply the main result to characterize optimal performance in a Neyman-Pearson-like setting, where there are two possible noise-corrupted signals. In this problem, the goal of the observer of the noisy signal, rather than having to determine which of the two it is (as in the hypothesis testing problem), is to reproduce the underlying clean signal with as high a fidelity as possible (e.g., lowest number of symbol errors when distortion measure is Hamming), under the assumption that one source is active, while operating at a limited information rate R and subject to a constraint on the fidelity of reconstruction when the other source is active. Finally, we apply our result to characterize a sufficient condition for the source class /Theta/ to be universally encodable in the sense of the existence of schemes attaining the optimal distribution-dependent exponent, simultaneously for all sources in the class. This condition was shown in an earlier work to suffice for universality in expectation.
Author Weissman, T.
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Snippet Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/sup n/=(X/sub 1/,...,X/sub n/), based on a...
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal Xn = (X1,..., Xn.), based on a noise-corrupted...
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X/n/=(X(1),...,X/n/), based on a noise-corrupted...
Consider the problem of rate-constrained reconstruction of a finite-alphabet discrete memoryless signal X super(n)=(X sub(1),...,X sub(n)), based on a...
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SubjectTerms Block codes
Bulk molding compounds
Channels
Codes
Decay rate
Distortion
Distortion measurement
Error analysis
Errors
Exponents
Information rates
Information theory
Memoryless systems
Minimax techniques
Noise reduction
Rate-distortion
Reconstruction
Signaling
Source coding
Testing
Uncertainty
Title Universally attainable error exponents for rate-distortion coding of noisy sources
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https://www.proquest.com/docview/195894986
https://www.proquest.com/docview/28483765
https://www.proquest.com/docview/926324114
Volume 50
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