Results 51 to 60 of about 218,723 (262)

Multidimensional Systolic Arrays of LMS AlgorithmAdaptive (FIR) Digital Filters

open access: yesAl-Khawarizmi Engineering Journal, 2009
A multidimensional systolic arrays realization of LMS algorithm by a method of mapping regular algorithm onto processor array, are designed. They are based on appropriately selected 1-D systolic array filter that depends on the inner product sum systolic
Bakir A. R. Al-Hashemy   +1 more
doaj  

Sparse Bayesian learning using hierarchical synthesis prior for STAP

open access: yesIET Radar, Sonar & Navigation
Space–time adaptive processing (STAP) can effectively detect moving targets in the background of ground clutter, but the performance will drop sharply when the training samples are limited.
Junxiang Cao, Tong Wang, Weichen Cui
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

1-D Systolic Arrays Design of LMS Adaptive (FIR) Digital Filtering

open access: yesAl-Khawarizmi Engineering Journal, 2010
This paper extends the 1-D systolic array approach with a method of systematic linear design of systolic algorithms. Past methods for mapping the Least-Mean-Square (LMS) Adaptive Finite-Impulse-Response (FIR) filter onto parallel and pipelined ...
Ali H. Mahdi   +2 more
doaj  

A novel sparse representation algorithm for AIS real-time signals

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
Sparse representation of signals based on a redundant dictionary is a new signal representation theory. Recent research activities in this field have concentrated mainly on the study of dictionary design and sparse decomposition algorithms.
Shuaiheng Huai, Shufang Zhang
doaj   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Trends in Adaptive Array Processing

open access: yesInternational Journal of Antennas and Propagation, 2012
Enormous progress has been made during the past five decades in the area of adaptive array processing. Increased computational power has resulted in many practical applications of optimum algorithms.
Hema Singh, Rakesh Mohan Jha
doaj   +1 more source

Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm

open access: yesSensors, 2020
Adaptive filtering has the advantages of real-time processing, small computational complexity, and good adaptability and robustness. It has been widely used in communication, navigation, signal processing, optical fiber sensing, and other fields. In this
Zhihua Yu, Yunfei Cai, Daili Mo
doaj   +1 more source

Real-time damage detection of bridges using adaptive time-frequency analysis and ANN [PDF]

open access: yesNumerical Methods in Civil Engineering, 2019
Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high ...
V. Ahmadian   +2 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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