Results 211 to 220 of about 97,250 (266)

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

open access: yesAdvanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li   +12 more
wiley   +1 more source

On Adaptive Filtering

Operational Research Quarterly (1970-1977), 1976
The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
openaire   +1 more source

Adaptive Bilinear Filtering

1993 IEEE International Symposium on Circuits and Systems, 2002
The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
Tamal Bose, Mei-Qin Chen
openaire   +1 more source

On adaptive IIR filters and parallel adaptive identifiers with adaptive error filtering

ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Presently, for provable global stability and unbiasedness in the presence of zero-mean, colored output measurement noise, adaptive infinite impulse response (IIR) filters (or adaptive output error identifiers) require a restrictive SPR condition on the transfer function dividing the error smoothing coefficient polynomial by the unknown desired ...
C. Richard Johnson Jr.   +3 more
openaire   +1 more source

Adaptive filtering

Automatica, 1969
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Secure Adaptive Filtering

IEEE Transactions on Information Forensics and Security, 2011
In an increasingly connected world, the protection of digital data when it is processed by other parties has arisen as a major concern for the general public, and an important topic of research. The field of Signal Processing in the Encrypted Domain (SPED) has emerged in order to provide efficient and secure solutions for preserving privacy of signals ...
Juan Ramón Troncoso-Pastoriza   +1 more
openaire   +1 more source

Adaptive deblocking filter

IEEE Transactions on Circuits and Systems for Video Technology, 2003
This paper describes the adaptive deblocking filter used in the H.264/MPEG-4 AVC video coding standard. The filter performs simple operations to detect and analyze artifacts on coded block boundaries and attenuates those by applying a selected filter.
Peter List 0001   +4 more
openaire   +1 more source

An adaptive transversal filter

ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A real time electronically programmable transversal filter with parallel architecture is described. The device is capable of operating at sampling rates in excess of 500KHz while maintaining high dynamic range. The device is built around an analog delay line designed using operational amplifiers and switching circuitry.
openaire   +1 more source

On Regularization in Adaptive Filtering

IEEE Transactions on Audio, Speech, and Language Processing, 2011
Regularization plays a fundamental role in adaptive filtering. An adaptive filter that is not properly regularized will perform very poorly. In spite of this, regularization in our opinion is underestimated and rarely discussed in the literature of adaptive filtering. There are, very likely, many different ways to regularize an adaptive filter. In this
Jacob Benesty   +2 more
openaire   +1 more source

Scale Adaptive Filters

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015
Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
openaire   +1 more source

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