Results 51 to 60 of about 49,604 (295)

Stabilization of 2D NSHP Recursive Digital Filters with Guaranteed Stability Using PLSI Polynomials

EURASIP Journal on Advances in Signal Processing, 2009
Two-dimensional digital filters have gained wide acceptance in recent years. For recursive filters, nonsymmetric half-plane versions (also known as semicausal) are more general than quarter-plane versions (also known as causal) in approximating arbitrary
K. R. Santhi, M. Ponnavaikko, N. Gangatharan   +2 more
doaj   +1 more source

Comparative ¹H NMR Metabolomics Between Scandinavian Propolis and Australian Propolis: The Quest to Identify Radical Scavenging Compounds. [PDF]

Magn Reson Chem
Propolis from Scandinavia and Australia was chemically characterized using 1H NMR spectroscopy and multivariate modeling. Recursive partial least squares revealed spectral features associated with radical scavenging activity, and STOCSY enabled identification of the key phenolic compounds underlying these bioactive features. ABSTRACT Propolis from Apis
Vind J, Engelsen SB, Jørgensen HM, Antvorskov JC, Josefsen K, Aru V.   +5 more
europepmc   +2 more sources

Underdetermined-order recursive least-squares adaptive filtering: the concept and algorithms [PDF]

IEEE Transactions on Signal Processing, 1997
Underdetermined recursive least-squares (URLS) adaptive filtering is introduced. In particular, the URLS algorithm is derived and shown to be a direct consequence of the principle of minimal disturbance. By exploiting the Hankel structure of the filter input matrix, the fast transversal filter (FTF) version of the URLS algorithm (URLS-FTF) is derived ...
Baykal, B, Constantinides, AG
openaire   +3 more sources

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Efficient recursive in order least squares FIR filtering and prediction

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
This paper is concerned with the efficient determination of the optimum, in the least squares sense, FIR filter on the basis of data samples of the input and desired response signals, by procedures recursive in the filter order. This situation typically arises when no a priori statistics are available and the system order is not known.
KALOUPTSIDIS, N, CARAYANNIS, G, MANOLAKIS, D, KOUKOUTSIS, E   +3 more
openaire   +2 more sources

Technological Turbulence, Circular Economy Practices, and Digitalization as Determinants of Innovative Culture in High‐Growth Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT In a business environment characterized by technological turbulence and an increasing societal demand for greater sustainability, companies seeking to enhance their growth are compelled to foster organizational cultures that promote continuous innovation.
José Bocoya‐Maline, Salustiano Martínez‐Fierro, José Aurelio Medina‐Garrido   +2 more
wiley   +1 more source

Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors

Sensors, 2017
Load identification plays an important role in structural health monitoring, which aims at preventing structural failures. In order to identify load for linear systems and nonlinear systems, this paper presents methods to identify load for a cantilever ...
Xuegang Song, Yuexin Zhang, Dakai Liang
doaj   +1 more source

Filtering Based Recursive Least Squares Algorithm for Multi‐Input Multioutput Hammerstein Models [PDF]

Mathematical Problems in Engineering, 2014
This paper considers the parameter estimation problem for Hammerstein multi‐input multioutput finite impulse response (FIR‐MA) systems. Filtered by the noise transfer function, the FIR‐MA model is transformed into a controlled autoregressive model.
Ziyun Wang, Yan Wang, Zhicheng Ji
openaire   +2 more sources

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source