Search Results - Statistical Signal Processing
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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging
Published 2025-01-01Get full text
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Genetic and Molecular Characterization of Atopic Eczema: A Comprehensive Bioinformatics Analysis of Gene Interactions and Pathways
Published 2025-04-01“…In addition, pathway mapping was performed using WikiPathways to delineate critical signaling interactions. Statistical significance was assessed through hypergeometric tests and false discovery rate corrections, while overrepresentation analysis helped elucidate pathway involvement. …”
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Perspectives for next generation sequencing in patients with follicular lymphoma
Published 2023-12-01“…To study the prognostic significance of gene mutations and intracellular signaling pathways involved in lymphomagenesis in patients with follicular lymphoma using next generation sequencing (NGS).Materials and methods. …”
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Angiogenic potential of circulating blood neutrophils in endometrial cancer
Published 2021-05-01“…The neutrophil-to-lymphocyte ratio (NLR) was assessed in the studied groups. Statistical processing of the obtained data was carried out using Statistica 10 software. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis
Published 2025-01-01“…Statistical significance was assessed against a red-noise process at the 95% confidence level using Monte Carlo simulations (1 000 iterations). …”
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ASCERTAINMENT OF DYNAMIC CHARACTERISTICS OF THE INDUSTRIAL FACILITIES BY MEANS OF STOCHASTIC ACTIONS
Published 2016-03-01“…In those instances it is expediential to apply statistical characteristics of the input and output signals, i. a. to employ the data of so-called passive experiment. …”
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Robust Fractional Low Order Adaptive Linear Chirplet Transform and Its Application to Fault Analysis
Published 2025-07-01“…Time-frequency analysis (TFA) technology is an important tool for analyzing non-Gaussian mechanical fault vibration signals. In the complex background of infinite variance process noise and Gaussian colored noise, it is difficult for traditional methods to obtain the highly concentrated time-frequency representation (TFR) of fault vibration signals. …”
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Tell Me What You See: Text-Guided Real-World Image Denoising
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In-Scene Calibration of Poisson Noise Parameters for Phase Image Recovery
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Noise Impact Analysis of School Environments Based on the Deployment of IoT Sensor Nodes
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Robust speech parametrization based on pitch synchronized cepstral solutions
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Prototype of Mobile Meter Waveband Radar with Improved Functionality
Published 2022-04-01“…The achievement of these properties is possible due to the application of digital antenna arrays with digital solid-state Tx/Rx modules, modular construction of all radar subsystems, digital beamforming technology, adoptive algorithms of space-time, and statistical processing of received signals. The prototype of meter-wavelength band radar system with height effectivity and informativity of radiolocation receiving, with the capability of fast moving and deploying is review in this article. …”
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Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
Published 2014-09-01Get full text
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Criteria for identification of the form and functional properties of the soil profile in georadiolocated studies by using georadar “Loza-B”
Published 2015-09-01“…The statistical processing includes calculation of average values, standard deviations and the distribution frequency of signal amplitude connected with the layer thickness and the amount of signal oscillations. …”
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Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars
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Methods for Anomalous Azimuth Estimate Censoring in Small Element Antenna Arrays
Published 2017-10-01“…Application of proposed methods is shown by statistical simulation modeling results and radio monitoring complex data processing results.…”
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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.
Published 2025-01-01“…Traditional signal processing approaches often fail under such conditions, whereas deep learning offers new possibilities for robust signal classification. …”
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Research on Data-driven PET-CT Gating Imaging Method
Published 2025-06-01“…The PD-PCA method can process the acquired partial data during the data acquisition process, resulting in more accurate heartbeat signals, improves the accuracy of cardiac gating grouping. …”
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