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Artículos de revistas sobre el tema "Band-limited signals"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 27 de julio de 2025

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1

Pawlak, N., and E. Rafajlowicz. "On restoring band-limited signals." IEEE Transactions on Information Theory 40, no. 5 (1994): 1490–503. http://dx.doi.org/10.1109/18.333863.

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2

Pawlak, M., and U. Stadtmuller. "Recovering band-limited signals under noise." IEEE Transactions on Information Theory 42, no. 5 (1996): 1425–38. http://dx.doi.org/10.1109/18.532883.

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3

Kowalski, Marek A. "On approximation of band-limited signals." Journal of Complexity 5, no. 3 (1989): 283–302. http://dx.doi.org/10.1016/0885-064x(89)90026-5.

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4

Lee, David. "Discontinuity detection from band-limited signals." Journal of Complexity 6, no. 2 (1990): 170–91. http://dx.doi.org/10.1016/0885-064x(90)90005-x.

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5

Olevskii, Alexander, and Alexander Ulanovskii. "Universal sampling of band-limited signals." Comptes Rendus Mathematique 342, no. 12 (2006): 927–31. http://dx.doi.org/10.1016/j.crma.2006.04.015.

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6

Hazony, Dov. "Time-limited and band-limited environment: Signals and systems." Circuits Systems and Signal Processing 16, no. 2 (1997): 247–70. http://dx.doi.org/10.1007/bf01183278.

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7

Girault, J. M., and D. Kouame. "Length and frequency of band-limited signals." IEEE Signal Processing Letters 9, no. 11 (2002): 371–74. http://dx.doi.org/10.1109/lsp.2002.800505.

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8

Peleg, Michael, and Shlomo Shamai. "On the Capacity of the Peak-Limited and Band-Limited Channel." Entropy 26, no. 12 (2024): 1049. https://doi.org/10.3390/e26121049.

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We investigate the peak-power limited (PPL) Additive White Gaussian Noise (AWGN) channels in which the signal is band-limited, and its instantaneous power cannot exceed the power P. This model is relevant to many communication systems; however, its capacity is still unknown. We use a new geometry-based approach which evaluates the maximal entropy of the transmitted signal by assessing the volume of the body, in the space of Nyquist-rate samples, comprising all the points the transmitted signal can reach. This leads to lower bounds on capacity which are tight at high Signal to Noise Ratios (SNR
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9

Bogdanova, Nataliia Volodymyrivna, and Arkadii Mykolaiovych Prodeus. "Objective quality evaluation of speech band-limited signals." Electronics and Communications 19, no. 6 (2014): 58–65. http://dx.doi.org/10.20535/2312-1807.2014.19.6.113479.

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10

Wenchang Sun and Xingwei Zhou. "Reconstruction of band-limited signals from local averages." IEEE Transactions on Information Theory 48, no. 11 (2002): 2955–63. http://dx.doi.org/10.1109/tit.2002.804047.

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11

Selva, J. "Convolution-Based Trigonometric Interpolation of Band-Limited Signals." IEEE Transactions on Signal Processing 56, no. 11 (2008): 5465–77. http://dx.doi.org/10.1109/tsp.2008.929659.

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12

Zhengguang Xu, Benxiong Huang, and Kewei Li. "On Fourier Interpolation Error for Band-Limited Signals." IEEE Transactions on Signal Processing 57, no. 6 (2009): 2412–16. http://dx.doi.org/10.1109/tsp.2009.2016263.

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13

Olevskiĭ, Alexander, and Alexander Ulanovskii. "Universal Sampling and Interpolation of Band-Limited Signals." Geometric and Functional Analysis 18, no. 3 (2008): 1029–52. http://dx.doi.org/10.1007/s00039-008-0674-7.

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14

Chen, Weidong. "Regularized restoration for two dimensional band-limited signals." Multidimensional Systems and Signal Processing 26, no. 3 (2013): 665–75. http://dx.doi.org/10.1007/s11045-013-0263-2.

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15

CHEN, SHOUYIN. "A NOTE ON ANALYTIC SIGNALS WITH NONLINEAR PHASE." International Journal of Wavelets, Multiresolution and Information Processing 07, no. 05 (2009): 711–20. http://dx.doi.org/10.1142/s0219691309003161.

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Instantaneous frequency, defined as the derivative of the phase of a complex analytic representation of the signal, is a basic concept and plays an important role in communication and information processing. It is not unusual to expect that the instantaneous frequency of an analytic signal is nonnegative. In this note, we exhibit new families of analytic signals with band-limited amplitudes and positive nonlinear instantaneous frequencies. The structures of analytic signals with band-limited amplitude and rational as well as linear plus periodic instantaneous frequencies have been analyzed.
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16

Duijndam, A. J. W., M. A. Schonewille, and C. O. H. Hindriks. "Reconstruction of band‐limited signals, irregularly sampled along one spatial direction." GEOPHYSICS 64, no. 2 (1999): 524–38. http://dx.doi.org/10.1190/1.1444559.

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Seismic signals are often irregularly sampled along spatial coordinates, leading to suboptimal processing and imaging results. Least squares estimation of Fourier components is used for the reconstruction of band‐limited seismic signals that are irregularly sampled along one spatial coordinate. A simple and efficient diagonal weighting scheme, based on the distance between the samples, takes the properties of the noise (signal outside the bandwidth) into account in an approximate sense. Diagonal stabilization based on the energies of the signal and the noise ensures robust estimation. Reconstr
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17

Chernov, E. I., N. E. Sobolev, A. A. Bondarchuk, and L. E. Aristarhova. "Method of estimation of hidden correlation of narrowband noise signals." Izmeritel`naya Tekhnika, no. 12 (December 2019): 34–39. http://dx.doi.org/10.32446/0368-1025it.2019-12-34-39.

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The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal a
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18

Mugler, Dale H., and W. Splettstösser. "Difference Methods for the Prediction of Band-Limited Signals." SIAM Journal on Applied Mathematics 46, no. 5 (1986): 930–41. http://dx.doi.org/10.1137/0146055.

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19

Habib, M. K. "Digital representations of operators on band-limited random signals." IEEE Transactions on Information Theory 47, no. 1 (2001): 173–77. http://dx.doi.org/10.1109/18.904520.

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20

Gennarelli, Claudio, Maurizio Migliaccio, and Catello Savarese. "On the Efficient Interpolation of Stochastic Band-Limited Signals*." Electromagnetics 16, no. 1 (1996): 35–50. http://dx.doi.org/10.1080/02726349608908457.

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21

Scivier, M. S., and M. A. Fiddy. "Ambiguities in magnitude-only reconstruction of band-limited signals." Optics Letters 10, no. 8 (1985): 369. http://dx.doi.org/10.1364/ol.10.000369.

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22

Xia, X. G., and Z. Zhang. "On a conjecture on time-warped band-limited signals." IEEE Transactions on Signal Processing 40, no. 1 (1992): 252–54. http://dx.doi.org/10.1109/78.157208.

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23

Kowalski, Marek A. "Optimal complexity recovery of band- and energy-limited signals." Journal of Complexity 2, no. 3 (1986): 239–54. http://dx.doi.org/10.1016/0885-064x(86)90004-x.

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24

Greenberg, J. M., and Laurent Gosse. "Chirplet Approximation of Band-Limited, Real Signals Made Easy." SIAM Journal on Scientific Computing 31, no. 5 (2009): 3922–45. http://dx.doi.org/10.1137/080734674.

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25

Ramana, D. V., and K. N. Suryanarayana Rao. "Effect of TWTA on the Band Limited QPSK Signals." IETE Journal of Research 45, no. 5-6 (1999): 299–302. http://dx.doi.org/10.1080/03772063.1999.11416113.

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26

Priolo, Enrico, and Claudio Chiaruttini. "Analytical and numerical analysis of tomographic resolution with band‐limited signals." GEOPHYSICS 68, no. 2 (2003): 600–613. http://dx.doi.org/10.1190/1.1567230.

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We investigate the resolution of band‐limited seismic signals using analytical arguments, based on the Rytov approximation of the single scattering problem and numerical modeling of the full wave equation. The experimental framework is seismic transmission tomography. Contrary to intuition, Rytov's theory predicts that time delays carry only limited information about the velocity of the medium along the shortest path (mathematical ray);, the information loss being more severe in 3D than in 2D geometries. We show that signal amplitude provides the information missing in time delay, and we argue
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27

Popiński, Waldemar. "Adaptive decomposition of band-limited signals using the Fourier transform band-pass filter." Applicationes Mathematicae 45, no. 1 (2018): 61–70. http://dx.doi.org/10.4064/am2291-11-2017.

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28

Brown, J., and O. Morean. "Robust prediction of band-limited signals from past samples (Corresp.)." IEEE Transactions on Information Theory 32, no. 3 (1986): 410–12. http://dx.doi.org/10.1109/tit.1986.1057179.

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29

Sandberg, I. W. "The reconstruction of band-limited signals from nonuniformly spaced samples." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 41, no. 1 (1994): 64–66. http://dx.doi.org/10.1109/81.260224.

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30

Selva, J. "Efficient Sampling of Band-Limited Signals From Sine Wave Crossings." IEEE Transactions on Signal Processing 60, no. 1 (2012): 503–8. http://dx.doi.org/10.1109/tsp.2011.2170171.

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31

Brodzik, Andrzej K., and Richard Tolimieri. "Extrapolation of band-limited signals and the finite Zak transform." Signal Processing 80, no. 3 (2000): 413–23. http://dx.doi.org/10.1016/s0165-1684(99)00140-1.

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32

Kowalski, Marek A., and Frank Stenger. "Optimal complexity recovery of band- and energy-limited signals II." Journal of Complexity 5, no. 1 (1989): 45–59. http://dx.doi.org/10.1016/0885-064x(89)90012-5.

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33

Ruymgaart, Frits H. "A note on the inverse estimation of band-limited signals." Statistics & Probability Letters 27, no. 3 (1996): 241–46. http://dx.doi.org/10.1016/0167-7152(95)00071-2.

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34

Takei, Yoshinori, Kouichi Mogi, Toshinori Yoshikawa, and Xi Zhang. "SNR-maximizing interpolation filters for band-limited signals with quantization." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 89, no. 1 (2005): 31–46. http://dx.doi.org/10.1002/ecjc.20178.

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35

Li, Jianyuan, Pei Wang, Hongxi Zhang, Chao Luo, Zhenning Li, and Yihai Wei. "A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression." Remote Sensing 16, no. 1 (2023): 35. http://dx.doi.org/10.3390/rs16010035.

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Synthetic aperture radar (SAR) is a high-resolution imaging radar. With the deteriorating electromagnetic environment, SAR systems are susceptible to various forms of electromagnetic interference, including deception jamming. This jamming notably impacts SAR signal processing and subsequently worsens the quality of acquired images. Chaotic frequency modulation (CFM) signals could effectively counteract deception jamming. Nevertheless, due to the inadequate band-limited performance of CFM signals, higher oversampling factors are needed for achieving optimal low sidelobe levels, leading to incre
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36

Andreiev, O., V. Tsyporenko, V. Tsyporenko, Y. Andreieva, O. Dubyna, and I. Puleko. "ELECTROMAGNETIC COMPATIBILITY OF BROADBAND AND NARROWBAND SHORTWAVE RADIO COMMUNICATIONS DEVICES." Sciences of Europe, no. 158 (February 10, 2025): 78–86. https://doi.org/10.5281/zenodo.14846872.

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Most short-wave radio communication means use frequency modulation of the radio signal in a limited frequency band to transmit voice signals. Such signals have a sufficiently high spectral density, which makes it possible to detect and suppress the radio signal by means of electronic warfare. One of the methods for increasing the noise immunity of radio communication means is to expand the radio signal spectrum at the operating frequency of the transmitter. In modern telecommunication systems, various technologies for expanding the signal spectrum have been used when transmitting data over a m
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37

Feichtinger, Hans, and Isaac Pesenson. "A Reconstruction Method for Band-limited Signals on the Hyperbolic Plane." Sampling Theory in Signal and Image Processing 4, no. 2 (2005): 107–19. http://dx.doi.org/10.1007/bf03549428.

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38

Santos, Quézia C. dos, and Milton José Porsani. "GROUND ROLL ATTENUATION USING SHAPING FILTERS AND BAND LIMITED SWEEP SIGNALS." Revista Brasileira de Geofísica 30, no. 4 (2012): 545. http://dx.doi.org/10.22564/rbgf.v30i4.241.

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Os dados sísmicos terrestres, geralmente, apresentam baixa razão sinal-ruído devido, entre outros fatores, à presença deground roll, um ruído caracterizado por eventos coerentes e lineares, com altas amplitudes, baixas frequências temporais e baixas velocidades e, na maioria dos casos, dispersivos, que se sobrepõem àsreflexões, prejudicando o processamento e a interpretação dos dados. Quando a tentativa de atenuar oground roll durante a aquisição dos dados (utilizando arranjos de fontes e receptores) falha, diversos métodos podem ser empregados no processamento. Neste trabalho, discute-se um m
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39

Bauck, Jerald L. "Generating Continuous Deterministic Band-Limited Test Signals With Nearly Laplace Distribution." Journal of the Audio Engineering Society 68, no. 9 (2020): 664–79. http://dx.doi.org/10.17743/jaes.2020.0048.

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40

Bissantz, N., H. Holzmann, and A. Munk. "Testing Parametric Assumptions on Band- or Time-Limited Signals Under Noise." IEEE Transactions on Information Theory 51, no. 11 (2005): 3796–805. http://dx.doi.org/10.1109/tit.2005.856957.

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41

Tugbay, N., and E. Panayirci. "Energy Optimization of Band-Limited Nyquist Signals in the Time Domain." IEEE Transactions on Communications 35, no. 4 (1987): 427–34. http://dx.doi.org/10.1109/tcom.1987.1096794.

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42

Hein, S., та A. Zakhor. "Reconstruction of oversampled band-limited signals from ΣΔ encoded binary sequences". IEEE Transactions on Signal Processing 42, № 4 (1994): 799–811. http://dx.doi.org/10.1109/78.285644.

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43

Chen, Mingfu, Gangrong Qu, Lei Shi, and Shan Gao. "The reweighted Landweber scheme for the extrapolation of band-limited signals." Signal Processing 164 (November 2019): 340–44. http://dx.doi.org/10.1016/j.sigpro.2019.06.022.

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44

Pao-Lo Liu. "A Key Agreement Protocol Using Band-Limited Random Signals and Feedback." Journal of Lightwave Technology 27, no. 23 (2009): 5230–34. http://dx.doi.org/10.1109/jlt.2009.2031421.

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45

Selva, J. "Functionally Weighted Lagrange Interpolation of Band-Limited Signals From Nonuniform Samples." IEEE Transactions on Signal Processing 57, no. 1 (2009): 168–81. http://dx.doi.org/10.1109/tsp.2008.2007101.

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46

Petrović, Predrag B. "New method and circuit for processing of band-limited periodic signals." Signal, Image and Video Processing 6, no. 1 (2010): 109–23. http://dx.doi.org/10.1007/s11760-010-0173-9.

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47

Liu, Vincent C., and P. P. Vaidyanathan. "Compression of Two-Dimensional Band-Limited Signals Using Sub-Sampling Theorems." IETE Journal of Research 34, no. 5 (1988): 416–22. http://dx.doi.org/10.1080/03772063.1988.11436759.

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48

Chen, Weidong. "Computation of two-dimensional Fourier transforms for noisy band-limited signals." Applied Mathematics and Computation 246 (November 2014): 199–209. http://dx.doi.org/10.1016/j.amc.2014.05.009.

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49

Dabrowska, Dorota, and Marek A. Kowalski. "Approximating Band- and Energy-Limited Signals in the Presence of Jitter." Journal of Complexity 14, no. 4 (1998): 557–70. http://dx.doi.org/10.1006/jcom.1998.0490.

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50

Xingwei, Zhou, and Xia Xianggen. "The extrapolation of band-limited signals in L2 with sampling errors." Approximation Theory and its Applications 5, no. 3 (1989): 15–21. http://dx.doi.org/10.1007/bf02836489.

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