Výsledky vyhľadávania - polynomial signal detection algorithms

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  1. 1

    Detecting Cosmic 21 cm global signal using an improved polynomial fitting algorithm Autor Liu, Tianyang, Gu, Junhua, Guo, Quan, Shan, Huanyuan, Zheng, Qian, Wang, Jingying

    ISSN: 0035-8711, 1365-2966
    Vydavateľské údaje: London Oxford University Press 01.01.2024
    “…Detecting the cosmic 21 cm signal from epoch of reionization has always been a difficult task…”
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    Journal Article
  2. 2

    Precise T-wave endpoint detection using polynomial fitting and natural geometric approach algorithm Autor Winkert, T., Benchimol-Barbosa, P.R., Nadal, J.

    ISSN: 1746-8094, 1746-8108
    Vydavateľské údaje: Elsevier Ltd 01.02.2023
    “… A challenging task for appropriate QT assessment is the detection of the T-wave endpoint. This study proposes a novel automatic approach to correctly identify the T-wave endpoint…”
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    Journal Article
  3. 3

    A New Polynomial Phase Signal Detection Algorithm Based on the Combination of Filter Bank and Short-Time Radon-Wigner Transform Autor Yingxiang Li, Weiwen Tang, Yujun Kuang

    ISBN: 9781424463275, 1424463270
    Vydavateľské údaje: IEEE 01.04.2010
    “…In this paper, we are interested in the problem of detection polynomial phase signals (PPS…”
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  4. 4

    A continuous piecewise polynomial fitting algorithm for trend changing points detection of sea level Autor Xiao, Mingyu, Jin, Taoyong, Ding, Hao

    ISSN: 0098-3004
    Vydavateľské údaje: Elsevier Ltd 01.02.2025
    Vydané v Computers & geosciences (01.02.2025)
    “… This paper proposed a continuous piecewise polynomial fitting algorithm for detecting the breakpoints in sea level, considering its highly nonlinear characteristics and periodic signals…”
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    Journal Article
  5. 5

    On statistical inference when fixed points of belief propagation are unstable Autor Liu, Siqi, Mohanty, Sidhanth, Raghavendra, Prasad

    ISSN: 2575-8454
    Vydavateľské údaje: IEEE 01.02.2022
    “… recovered. In the problem of community detection in a stochastic block model, the community labels are hidden variables that are to be recovered from the edges of the graph…”
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  6. 6

    Detecting Cosmic 21 cm Global Signal Using an Improved Polynomial Fitting Algorithm Autor Liu, Tianyang, Gu, Junhua, Guo, Quan, Huanyuan Shan, Zheng, Qian, Wang, Jingying

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 18.11.2023
    Vydané v arXiv.org (18.11.2023)
    “…Detecting the cosmic 21 cm signal from Epoch of Reionization (EoR) has always been a difficult task…”
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    Paper
  7. 7

    A polynomial complexity algorithm for near-optimal signal detection in linear Gaussian vector channels Autor Qingyi Quan, Suzi Xie

    ISBN: 9781424455379, 1424455375
    Vydavateľské údaje: IEEE 01.07.2010
    “…A near-optimal signal detection algorithm with complexity of O(K log K) is proposed for K -input, K -output linear Gaussian vector channels…”
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  8. 8

    Deep Neural Network Based Detection Algorithm for High-Order Modulation in Uplink Massive MIMO Autor Hou, Huijun, Li, Lin, Meng, Weixiao

    ISSN: 2376-6506
    Vydavateľské údaje: IEEE 28.06.2021
    “… Compared with the counterpart detection algorithms, along with a low polynomial average per symbol computational complexity, the proposed DNNSR detection algorithm requires lower average received…”
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  9. 9

    A Segmented Low-Order Bistable Stochastic Resonance Method for Fixed-Distance Target Detection in Millimeter-Wave Fuze Under Rainy Conditions Autor Yang, Bing, Wu, Kaiwei, Guo, Zhe, Liang, Yanbin, Hao, Shijun, Huang, Zhonghua

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 18.06.2025
    Vydané v Sensors (Basel, Switzerland) (18.06.2025)
    “…) a corresponding fixed-distance target detection algorithm incorporating signal pre-processing, particle swarm optimization (PSO…”
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    Journal Article
  10. 10

    Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule Autor Lopac, Nikola, Lerga, Jonatan, Cuoco, Elena

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 03.12.2020
    Vydané v Sensors (Basel, Switzerland) (03.12.2020)
    “… enable the detection of gravitational-wave events embedded in low signal-to-noise-ratio (SNR) environments. In this paper, an algorithm based on the local polynomial approximation…”
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    Journal Article
  11. 11

    Blind multiband signal detection with multirate snapshots in low SNRs Autor Cao, Kai, Lu, Peizhong, Zou, Yan, Ling, Lin

    ISSN: 0165-1684, 1872-7557
    Vydavateľské údaje: Elsevier B.V 01.09.2019
    Vydané v Signal processing (01.09.2019)
    “… Basing on this, we propose a blind multiband signal detection algorithm. In this method, we construct frequency locator polynomials (FLPs…”
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    Journal Article
  12. 12

    Blind phone segmentation based on spectral change detection using Legendre polynomial approximation Autor Hoang, Dac-Thang, Wang, Hsiao-Chuan

    ISSN: 1520-8524, 1520-8524
    Vydavateľské údaje: United States 01.02.2015
    “… A two-step algorithm for detecting phone boundaries was derived. The first step was to detect phone boundaries using first-order and second-order coefficients of the Legendre polynomial approximation…”
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    Journal Article
  13. 13

    Instantaneous Frequency Estimation via Ridge Detection in Polynomial Time and Space Autor Djurovic, Igor

    ISSN: 1070-9908, 1558-2361
    Vydavateľské údaje: New York IEEE 2025
    “…Application of ridge detection algorithms to various transforms and problems in time-frequency (TF…”
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    Journal Article
  14. 14

    A Polynomial Subspace Projection Approach for the Detection of Weak Voice Activity Autor Neo, Vincent W., Weiss, Stephan, Naylor, Patrick A.

    Vydavateľské údaje: IEEE 01.09.2022
    “… In this work, we adopt earlier work on detecting weak transient signals and propose a polynomial subspace projection pre-processor to improve an existing VAD algorithm…”
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  15. 15

    Shot boundary detection based on orthogonal polynomial Autor Abdulhussain, Sadiq H., Ramli, Abd Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Al-Haddad, S. A. R., Jassim, Wissam A.

    ISSN: 1380-7501, 1573-7721
    Vydavateľské údaje: New York Springer US 01.07.2019
    Vydané v Multimedia tools and applications (01.07.2019)
    “… Extensive research has employed orthogonal polynomial (OP) and their moments in computer vision and signal processing owing to their powerful performance in analyzing signals…”
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    Journal Article
  16. 16

    Distributed Nonlinear Polynomial Graph Filter and Its Output Graph Spectrum: Filter Analysis and Design Autor Xiao, Zhenlong, Fang, He, Wang, Xianbin

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York IEEE 2021
    “…While frequency-domain algorithms have been demonstrated to be powerful for conventional nonlinear signal processing, there is still not much progress in literature dedicated to nonlinear graph signal…”
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    Journal Article
  17. 17

    Relative Entropy Based Jamming Signal Design Against Radar Target Detection Autor Xu, Zhou, Tang, Bo, Ai, Weihua, Zhu, Jiahua

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York IEEE 2025
    “… By taking the relative entropy as the figure of merit, we formulate the jamming signal design as a matrix optimization problem which is Non-Polynomial (NP) hard in general…”
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    Journal Article
  18. 18

    MIMO Radar Transmit-Receive Design for Moving Target Detection in Signal-Dependent Clutter Autor Yu, Xianxiang, Cui, Guolong, Yang, Jing, Kong, Lingjiang

    ISSN: 0018-9545, 1939-9359
    Vydavateľské údaje: New York IEEE 01.01.2020
    “…) and Space-Time Receive Filter (STRF) to improve the detectability of a moving target embedded in signal-dependent clutter in the presence of uncertainties on the target azimuth angle and Doppler frequency…”
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    Journal Article
  19. 19

    Polynomial Phase Estimation by Least Squares Phase Unwrapping Autor McKilliam, Robby G., Quinn, Barry G., Clarkson, I. Vaughan L., Moran, Bill, Vellambi, Badri N.

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York, NY IEEE 15.04.2014
    “…Estimating the coefficients of a noisy polynomial phase signal is important in fields including radar, biology and radio communications…”
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    Journal Article
  20. 20

    Direct proof of polynomial complexity optimum multiuser detection algorithm Autor Reid, A B, Grant, A J, Alexander, P D

    ISSN: 0013-5194
    Vydavateľské údaje: 13.09.2001
    Vydané v Electronics letters (13.09.2001)
    “…A new approach to the polynomial complexity optimal detection algorithm for certain synchronous multiple access systems was presented…”
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    Journal Article