PICK&READ
Bonjour !
Connectez-vous pour afficher vos livres, identifier ceux en cours de lecture ou déjà lus
Pas encore de compte ?
Applications of Large Deviations Principles
?This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.
En poursuivant votre navigation, vous acceptez l'utilisation de cookies qui permettront notamment de vous offrir contenus, services, et publicités liés à vos centres d'intérêt.