BioLAMR: A Biomimetically Inspired Large Language Model Adaptation Framework for Automatic Modulation Recognition. [PDF]
Mao Y, Xu W, Sang J, Liu H.
europepmc +1 more source
Partition Function Zeros of the Frustrated J1-J2 Ising Model on the Honeycomb Lattice. [PDF]
Gessert D, Weigel M, Janke W.
europepmc +1 more source
Measuring Statistical Dependence via Characteristic Function IPM. [PDF]
Daniušis P +3 more
europepmc +1 more source
CAIC-Net: Robust Radio Modulation Classification via Unified Dynamic Cross-Attention and Cross-Signal-to-Noise Ratio Contrastive Learning. [PDF]
Wu T, Zhu Q, Mao R, Hu C, Wei S.
europepmc +1 more source
A Novel Version of the Arcsine-Rayleigh Distribution with Entropy Measures, Statistical Inference, and Applications. [PDF]
Al-Moisheer AS +3 more
europepmc +1 more source
Mimicking classical noise in ion channels by quantum decoherence. [PDF]
Seifi M, Soltanmanesh A, Shafiee A.
europepmc +1 more source
First-Order Symmetry-Adapted Perturbation Theory with Double Exchange for Multireference Systems. [PDF]
Cieśliński D +3 more
europepmc +1 more source
Related searches:
An architecture for the estimation of higher order cumulants
IEEE International Conference on Acoustics Speech and Signal Processing, 1993To achieve real-time performance in signal processing applications that require the estimation of higher order statistics, it is necessary to introduce parallel processing and pipelining. The authors present a two stage VLSI architecture for the computation of all the non-negative lags of the cumulants of a real, one-dimensional data sequence.
Haris M. Stellakis, Elias S. Manolakos
openaire +2 more sources
Blind estimation using higher-order cumulants
Proceedings of ISCAS'95 - International Symposium on Circuits and Systems, 2002This paper presents a higher-order cumulant based blind estimation algorithm for estimating the channel matrix in a n-sensor-m-source system under a noisy environment. The output from an array of n spatially separated sensors is the only available information that can be used to derive the channel parameters. The algorithm requires neither the additive
W. K. Lai, P. C. Ching
openaire +1 more source
Cumulative Higher-Order Logic as a Foundation for Set Theory
MLQ, 2000The authors study systems \(K(\alpha)\) of transfinite cumulative types, where the types consist of ordinals less than \(\alpha\) and there is an implicit comprehension principle (because of the presence of lambda terms). (My notation here and below differs inessentially from the authors.) Let \(K\# (\alpha)\) denote the corresponding non-cumulative ...
Wolfgang Degen, Jan Johannsen
openaire +2 more sources

