Results 201 to 210 of about 89,005 (240)
Using the Photostationary State of Arylazopyrazoles to Control Phase Transitions of Liquid Crystals
Advanced Functional Materials, EarlyView.A series of new arylazopyrazole photoswitches is designed as dopants for liquid crystalline materials. Unprecedented, the distribution of photoisomers at the photostationary state upon irradiation with light of specific wavelengths (365, 460, 520 nm) is used to control the liquid crystalline phase transitions under isothermal conditions, including ...
Tobias Thiele +3 more
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Advanced Functional Materials, EarlyView.Two kinds of self‐assembled RNA micelles were used to co‐deliver synergistic siRNA and nucleoside analogues for the treatment of colorectal cancer lung metastases. Near‐complete elimination of lung cancer metastases was confirmed in an orthotopic lung metastasis model constructed using human colorectal cancer lung metastases patient surgical samples to
Kai Jin +4 more
wiley +1 more source
Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies
Advanced Functional Materials, EarlyView.Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra +5 more
wiley +1 more source
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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.
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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.
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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.
T. Bose, M.-Q. Chen
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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.
T. Bose, M.-Q. Chen
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Numerische Mathematik, 1997
The adaptive filtering method which leads to robust algorithms for the solution of systems of linear equations arising from the discretization of partial differential equations with strongly varying coefficients is introduced and analyzed. The basis of these algorithms is the tangential frequency filtering decomposition whose theoretical results are ...
Wagner, Christian, Wittum, Gabriel
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The adaptive filtering method which leads to robust algorithms for the solution of systems of linear equations arising from the discretization of partial differential equations with strongly varying coefficients is introduced and analyzed. The basis of these algorithms is the tangential frequency filtering decomposition whose theoretical results are ...
Wagner, Christian, Wittum, Gabriel
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2007
This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented.
Sergio L. Netto, Luiz W.P. Biscainho
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This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented.
Sergio L. Netto, Luiz W.P. Biscainho
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1997
Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Adaptive infinite impulse response (IIR) filters are those in which the zeros and poles of the filter can be adapted. For that benefit the adaptive IIR filters usually have adaptive coefficients on the transfer function numerator and denominator. Adaptive IIR filters present some advantages as compared with the adaptive FIR filters, including reduced ...
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Automatica, 1969
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