Optimal control theory—an introduction, Donald E. Kirk, Prentice Hall, Inc., New York (1971), 452 poges. $13.50

Cohen, W.

doi:10.1002/aic.690170452

Cited by 12 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Essentially, an STFD is an extension of a conventional time-frequency distribution (TFD) (e.g. Cohen (1995)) which considers the cross time-frequency distribution of two signals, computed for each pair of signals within the recording array. Joint diagonalization is then carried out on the STFD in the usual way (as described previously).…”

Section: Time Structure Based Methodsmentioning

confidence: 99%

Independent component analysis for biomedical signals

James¹,

Hesse²

2004

Physiol. Meas.

427

330

View full text Add to dashboard Cite

Independent component analysis (ICA) is increasing in popularity in the field of biomedical signal processing. It is generally used when it is required to separate measured multi-channel biomedical signals into their constituent underlying components. The use of ICA has been facilitated in part by the free availability of toolboxes that implement popular flavours of the techniques. Fundamentally ICA in biomedicine involves the extraction and separation of statistically independent sources underlying multiple measurements of biomedical signals. Technical advances in algorithmic developments implementing ICA are reviewed along with new directions in the field. These advances are specifically summarized with applications to biomedical signals in mind. The basic assumptions that are made when applying ICA are discussed, along with their implications when applied particularly to biomedical signals. ICA as a specific embodiment of blind source separation (BSS) is also discussed, and as a consequence the criterion used for establishing independence between sources is reviewed and this leads to the introduction of ICA/BSS techniques based on time, frequency and joint time-frequency decomposition of the data. Finally, advanced implementations of ICA are illustrated as applied to neurophysiologic signals in the form of electro-magnetic brain signals data.

show abstract

Section: Time Structure Based Methodsmentioning

confidence: 99%

Independent component analysis for biomedical signals

James¹,

Hesse²

2004

Physiol. Meas.

427

330

View full text Add to dashboard Cite

show abstract

“…Задача оптимального керування процесом переносу вологи все ще є актуальною. Питанням iснування та єдиностi розв'язку задачi оптимiзацiї для лiнiйних систем та деяких нелiнiйних систем дослiджено у [12][13][14][15].…”

Section: а а тимошенкоunclassified

Optimal Control of a Two-Dimensional Richards-Klute Equation

Tymoshenko

2019

JNAM

View full text Add to dashboard Cite

This article demonstrates an approach to optimal control of humidity using point sources for the two-dimensional problem. The mathematical model is based on Richards-Klute equation. The desired humidity state at the last moment is set and the solution should reach it from the known initial state by optimal source power. The moisture is assumed incompressible, the temperature and external pressure are constant.

show abstract

“…Although the cross-term can be decreased by the kernel function, the time-frequency resolution reduced [4] . Chinese American N. E Huang and others make an in-depth study of the concept of instantaneous frequency, create a new algorithm named Hilbert-Huang transform (HHT), creatively put forward the new concept of Intrinsic Mode Function(IMF) and a method decomposing any signal into IMF named Empirical Mode Decomposition(EMD).…”

Section: Introductionmentioning

confidence: 99%

Vibrating Wire Sensor Signal Denoising and Analysis based on HHT

Deng¹,

Wang²

2016

Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

View full text Add to dashboard Cite

Abstract. Vibrating wire sensor has advantages of strong anti-interference ability, high sensitivity, easy to long-distance transmission, etc. However, currently only used for static testing technique, in geotechnical engineering and other fields. In order to make the advantages into full play, expand its application field and make it widely used in the areas of port crane, requires further study of dynamic testing technique. Based on research and analysis of static testing technique, the exploratory research of dynamic testing technique is being in popular. This paper creatively puts forward a method for filtering environmental interference and noise and on this basis, constructs an algorithm for dynamic testing, namely the HHT spectrum filtering algorithm based on wavelet threshold pretreatment. The new algorithm provides a viable direction for the vibrating wire sensors used for dynamic testing.

show abstract

Optimal control theory—an introduction, Donald E. Kirk, Prentice Hall, Inc., New York (1971), 452 poges. $13.50

Cited by 12 publications

References 0 publications

Independent component analysis for biomedical signals

Independent component analysis for biomedical signals

Optimal Control of a Two-Dimensional Richards-Klute Equation

Vibrating Wire Sensor Signal Denoising and Analysis based on HHT

Contact Info

Product

Resources

About