Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Wagner, Aaron P."'
Autor:
Mahmood, Adeel, Wagner, Aaron B.
Channel coding for discrete memoryless channels (DMCs) with mean and variance cost constraints has been recently introduced. We show that there is an improvement in coding performance due to cost variability, both with and without feedback. We demons
Externí odkaz:
http://arxiv.org/abs/2407.05260
In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality (realism) has been brought to light, where the realism is measured by the closeness of the output distribution
Externí odkaz:
http://arxiv.org/abs/2404.01111
Autor:
Qiu, Yang, Wagner, Aaron B.
Wasserstein distortion is a one-parameter family of distortion measures that was recently proposed to unify fidelity and realism constraints. After establishing continuity results for Wasserstein in the extreme cases of pure fidelity and pure realism
Externí odkaz:
http://arxiv.org/abs/2401.16858
Autor:
Mahmood, Adeel, Wagner, Aaron B.
We consider channel coding for discrete memoryless channels (DMCs) with a novel cost constraint that constrains both the mean and the variance of the cost of the codewords. We show that the maximum (asymptotically) achievable rate under the new cost
Externí odkaz:
http://arxiv.org/abs/2401.16417
Autor:
Sriramu, Sharang M., Wagner, Aaron B.
We consider the redundancy of the exact channel synthesis problem under an i.i.d. assumption. Existing results provide an upper bound on the unnormalized redundancy that is logarithmic in the block length. We show, via an improved scheme, that the lo
Externí odkaz:
http://arxiv.org/abs/2401.16707
We introduce a distortion measure for images, Wasserstein distortion, that simultaneously generalizes pixel-level fidelity on the one hand and realism or perceptual quality on the other. We show how Wasserstein distortion reduces to a pure fidelity c
Externí odkaz:
http://arxiv.org/abs/2310.03629
Artificial Neural-Network-based (ANN-based) lossy compressors have recently obtained striking results on several sources. Their success may be ascribed to an ability to identify the structure of low-dimensional manifolds in high-dimensional ambient s
Externí odkaz:
http://arxiv.org/abs/2205.08518
Autor:
Shende, Nirmal V., Wagner, Aaron B.
We introduce a new distortion measure for point processes called functional-covering distortion. It is inspired by intensity theory and is related to both the covering of point processes and logarithmic loss distortion. We obtain the distortion-rate
Externí odkaz:
http://arxiv.org/abs/2204.09188
Autor:
Bhadane, Sourbh, Wagner, Aaron B.
We consider the one-bit quantizer that minimizes the mean squared error for a source living in a real Hilbert space. The optimal quantizer is a projection followed by a thresholding operation, and we provide methods for identifying the optimal direct
Externí odkaz:
http://arxiv.org/abs/2202.05292
Autor:
Mahmood, Adeel, Wagner, Aaron B.
We show the existence of variable-rate rate-distortion codes that meet the disortion constraint almost surely and are minimax, i.e., strongly, universal with respect to an unknown source distribution and a distortion measure that is revealed only to
Externí odkaz:
http://arxiv.org/abs/2202.04481