Anomalous interference and hybrid filtration for stochastic processes in observation channels with memory; Automatic Control and Computer Sciences; Vol. 35, Iss. 5

Anomalous interference and hybrid filtration for stochastic processes in observation channels with memory; Automatic Control and Computer Sciences; Vol. 35, Iss. 5

Détails bibliographiques
Parent link:	Automatic Control and Computer Sciences.— , 2001 Vol. 35, Iss. 5.— 2001.— P. 45-55
Auteur principal:	Demin N. S. Nikolas S.
Autres auteurs:	Rozhkova S. V. Svetlana Vladimirovna, Rozhkova O. V.
Résumé:	Previous results [1, 2] are extended to the case of backup in digital observation channels with memory. The filtration accuracy is related to the backup order. A study is made on how the filtration accuracy in an ideal backup channel with memory differs from that in an ideal backup channel without memory. В фонде НТБ ТПУ отсутствует
Langue:	russe
Publié:	2001
Sujets:	труды учёных ТПУ
Format:	Chapitre de livre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=601965

Documents similaires

Stochastic-process hybrid filtration on observation with memory in the presence of anomalous interference\; Automatic Control and Computer Sciences; Vol. 34, Iss. 2
par: Dyomin N. S. Nikolas S.
Publié: (2000)

Stochastic-process hybrid filtration on observation with memory in the presence of anomalous interference\; Automatic Control and Computer Sciences; Vol. 34, Iss. 2
par: Dyomin N. S. Nikolas S.
Publié: (2000)

Continuous-discrete filtering of stochastic processes in the case of observations with memory in the presence of anomalous noise; Automatic Control and Computer Sciences; Vol. 33, Iss. 1
par: Demin N. S. Nikolas S.
Publié: (1999)

Detection of anomalous noise for continuous and discrete observation channels with memory; Automatic Control and Computer Sciences; Vol. 37, Iss. 5
par: Demin N. S. Nikolas S.
Publié: (2004)

Optimal control of stochastic systems in the case of continuous-discrete observation channels with memory; Automatic Control and Computer Sciences; Vol. 40, Iss. 6
par: Demin N. S. Nikolas S.
Publié: (2006)

Filtering for Stochastic Systems in the Case of Continuous Observation Channels with Memory of Arbitrary Multiplicity and Anomalous Noise; Control and Communications (SIBCON)
Publié: (2016)

Continuously discrete estimation of stochastic processes for observations with memory under anomalous noise: Synthesis; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 3
par: Dyomin N. S. Nikolas S.
Publié: (2000)

Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 4
par: Dyomin N. S. Nikolas S.
Publié: (2000)

Continuous-discrete estimation of stochastic processes over memory (time-delay) observations with anomalous noises; IFAC Proceedings Volumes; Vol. 16, Iss. 1
par: Rozhkova S. V. Svetlana Vladimirovna
Publié: (2006)

Synthesis of Filtering in Stochastic Systems on Continuous-Time Memory Observations in the Presence of Anomalous Noises; International Journal of Mathematical, Computational, Natural and Physical Engineering; Vol. 9, iss. 5
Publié: (2015)

Analysis of Filtering in Stochastic Systems on Continuous-Time Memory Observations in the Presence of Anomalous Noises; International Journal of Mathematical, Computational, Natural and Physical Engineering; Vol. 9, iss. 5
Publié: (2015)

Likelihood ratio determination for stochastic processes recognition problem with respect to the set of continuous and discrete memory observations; Informatica; Vol. 12, Iss. 2
par: Dyomin N. S. Nikolas S.
Publié: (2001)

Determination of information amount in the joint filtering and interpolation problem of stochastic processes by continuous-discrete memory observations; Probability Theory, Random Process, Mathematical Statistics and Application
par: Dyomin N. S. Nikolas S.
Publié: (2005)

Nonlinear filtering, interpolation and extrapolation in stochastic systems under continuous and discrete observations with memory; IFAC Proceedings Volumes; Vol. 2
par: Dyomin N. S. Nikolas
Publié: (2004)

Information Amount Determination for Joint Problem of Filtering and Generalized Extrapolation of Stochastic Processes with Respect to the Set of Continuous and Discrete Memory Observations; Informatica; Vol. 14, Iss. 3
par: Dyomin N. S. Nikolas S.
Publié: (2003)

On the Separation Theorem of Stochastic Systems in the Case Of Continuous- Discrete Observation Channels with Memory; Journal of Physics: Conference Series; Vol. 659 : Advanced Control and Diagnosis (ACD 2015)
Publié: (2015)

Information analysis in joint problem of continuous-discrete filtering, interpolation and extrapolation with memory observations; Innovative Computing, Information and Control, 2007 (ICICIC '07)
par: Dyomin N. S. Nikolas S.
Publié: (2007)

Estimation and recognition in stochastic systems with time-delay (memory) continuous-discrete observations; IFAC Proceedings Volumes
par: Rozhkova S. V. Svetlana Vladimirovna
Publié: (2005)

On the Separation Theorem of Stochastic Systems in the Case Of Continuous Observation Channels with Memory; Journal of Physics: Conference Series; Vol. 659 : 12th European Workshop on Advanced Control and Diagnosis (ACD 2015)
Publié: (2015)

Discrete-Time Stochastic Sliding Mode Control Using Functional Observation
par: Singh, Satnesh, et autres
Publié: (2020)

Estimation, recognition and information transmisiion in stochastic systems under continuous and discrete observations with memory; Korus 2004; V. 2
par: Rozhkova S. V. Svetlana Vladimirovna
Publié: (2004)

Filtration algorithm development porosity coefficient anomalous values; Ресурсоэффективным технологиям - энергию и энтузиазм молодых
par: Guljaeva K. V.
Publié: (2013)

Filtration algorithm development of anomalous values of porosity coefficient; Современные техника и технологии; Т. 2
par: Guljaeva K. V.
Publié: (2013)

Volume 2: Stochastic Techniques; Advanced Mathematical Tools for Automatic Control Engineers
Publié: (2009)

Recognition of Stochastic System States for Continuous-Discrete Observations with Sliding Memory; Russian Physics Journal; Vol. 61, iss. 3
Publié: (2018)

A robust hybrid near-real-time model for prediction of drilling fluids filtration; Engineering with Computers; Vol. 41
Publié: (2025)

About Structure of Shannon’s Information Amount for joint Filtering, Interpolation and Extrapolation Problem by Continuous-Discrete Memory Observations; KORUS 2005
par: Dyomin N. S. Nikolas S.
Publié: (2005)

Stochastic Processes and Calculus An Elementary Introduction with Applications /
par: Hassler, Uwe
Publié: (2016)

Filtering in Stochastic Systems: Analysis for the case of continuous observations with memory of arbitrary multiplicity; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)
Publié: (2017)

Automatic Control, Robotics, and Information Processing
Publié: (2021)

Green Computing with Emerging Memory Low-Power Computation for Social Innovation /
Publié: (2013)

Applied Stochastic Control of Jump Diffusions
par: Oksendal B. Bernt
Publié: (Berlin, Springer-Verlag, 2005)

Introduction to Stochastic Processes Using R
par: Madhira, Sivaprasad, et autres
Publié: (2023)

Statistics for stochastic processes: study aid
Publié: (Tomsk, TPU Publishing House, 2023)

Statistics for stochastic processes: study aid
Publié: (Tomsk, TPU Publishing House, 2023)

Hybrid L1 Adaptive Control Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics /
par: Maiti, Roshni, et autres
Publié: (2022)

RNA Interference Techniques
Publié: (2011)

Advanced Computational Paradigms and Hybrid Intelligent Computing Proceedings of ICACCP 2021 /
Publié: (2022)

RNA Interference Challenges and Therapeutic Opportunities /
Publié: (2015)

Optimal Transmission of Gaussian Markov Signal through Noiseless Feedback Channels with Memory; Control and Communications (SIBCON)
Publié: (2016)