Adaptive filtering for intelligent sensing speech based on multi-rate LMS algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0871-y
Abstract: Adaptive filtering algorithm is one of the most active research topics in signal processing at present. Speech signal processing is the hot issue in the field of digital signal processing. Based on theoretical research of… read more here.
Keywords: filtering intelligent; adaptive filtering; filtering; signal processing ... See more keywords
Weighted adaptive spatial filtering in digital holographic microscopy
Sign Up to like & getrecommendations! Published in 2017 at "Optics Communications"
DOI: 10.1016/j.optcom.2016.08.056
Abstract: Abstract Spatial filtering, a key point to realize real-time measurement, is used commonly in digital off-axis holography to extract desired terms. In this paper, we propose a weighted adaptive spatial filtering method by weighting the… read more here.
Keywords: spatial filtering; weighted adaptive; microscopy; filtering digital ... See more keywords
Wave exposure reduces herbivory in post-disturbed reefs by filtering species composition, abundance and behaviour of key fish herbivores
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-66475-y
Abstract: Harsh environmental conditions limit how species use the landscape, strongly influencing the way assemblages are distributed. In the wake of repeated coral bleaching mortalities in Lakshadweep, we examined how wave exposure influences herbivory in exposed… read more here.
Keywords: abundance behaviour; filtering; composition abundance; exposure ... See more keywords
Bipartite entanglement distillation by unilateral and bilateral local filters using polarizing Mach–Zehnder interferometers
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Applied Physics"
DOI: 10.1063/5.0153636
Abstract: The extraordinary correlation seen in entangled states in space-like separated regions is one of the most intriguing aspects of quantum states. Practical utility of entanglement as a resource for quantum key distribution, dense coding, or… read more here.
Keywords: entanglement distillation; distillation; filtering; unilateral bilateral ... See more keywords
Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2019.1566634
Abstract: ABSTRACT In this paper, a novel adaptive filtering scheme is first proposed to estimate the parameters of the nonlinear Wiener–Hammerstein systems with hysteresis, which is derived by exploiting the filtering technique and cost function framework.… read more here.
Keywords: adaptive filtering; filtering; filtering scheme; nonlinear wiener ... See more keywords
Recursive filtering of networked nonlinear systems: a survey
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1868615
Abstract: Recursive filtering for nonlinear systems, one of the core technologies of modern industrial systems, is an ever-increasing research topic from the control and computer communities. Some challenges from communication scheduling, limited bandwidth as well as… read more here.
Keywords: recursive filtering; filtering; survey; filtering networked ... See more keywords
Masked Joint Bilateral Filtering via Deep Image Prior for Digital X-Ray Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3179652
Abstract: Medical image denoising faces great challenges. Although deep learning methods have shown great potential, their efficiency is severely affected by millions of trainable parameters. The non-linearity of neural networks also makes them difficult to be… read more here.
Keywords: filtering; image denoising; joint bilateral; deep image ... See more keywords
Optimized Wireless Channel Characterization in Large Complex Environments by Hybrid Ray Launching-Collaborative Filtering Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2016.2604021
Abstract: Simulation techniques based on deterministic methods such as ray tracing and ray launching are widely used to perform radioplanning tasks. However, the quality of the simulations depends on the number of rays and the angular… read more here.
Keywords: collaborative filtering; definition; ray launching; filtering ... See more keywords
Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.2975552
Abstract: Objective: In the steady-state visual evoked potential (SSVEP)-based brain computer interfaces (BCIs), spatial filtering, which combines the multi-channel electroencephalography (EEG) signals in order to reduce the non-SSVEP-related component and thus enhance the signal-to-noise ratio (SNR),… read more here.
Keywords: spatial filtering; ssvep based; filtering; filtering algorithms ... See more keywords
Reduced-Order Extended Dissipative Filtering for Nonlinear Systems With Sensor Saturation via Interval Type-2 Fuzzy Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3162392
Abstract: The system nonlinearity, sensor saturation, and the uncertainty will hamper the analysis and affect the control performance. Filtering is a signal processing method which facilitates the system analysis and synthesis by signal estimation or noise… read more here.
Keywords: filtering; fuzzy; sensor saturation; extended dissipative ... See more keywords
3-D Structural Complexity-Guided Predictive Filtering: A Comparison Between Different Non-Stationary Strategies
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3172940
Abstract: Predictive filtering methods are widely used in industry to remove random noise, owing to their stability and efficiency. Traditional predictive filtering methods use a fixed autoregressive order (filtering factor) in the spatial direction. However, denoising… read more here.
Keywords: filtering; predictive filtering; complexity guided; seismic data ... See more keywords