Relevant bibliographies by topics / Band-limited signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Band-limited signals'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Band-limited signals"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Band-limited signals"

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Mihálik, Ondrej. "Signály s omezeným spektrem, jejich vlastnosti a možnosti jejich extrapolace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400958.

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The work is concerned with the band-limited signal extrapolation using truncated series of prolate spheroidal wave function. Our aim is to investigate the extent to which it is possible to extrapolate signal from its samples taken in a finite interval. It is often believed that this extrapolation method depends on computing definite integrals. We show an alternative approach by using the least squares method and we compare it with the methods of numerical integration. We also consider their performance in the presence of noise and the possibility of using these algorithms for real-time data pr
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Shibata, Takafumi, Masaaki Katayama, and Akira Ogawa. "Performance of Asynchronous Band-Limited DS/SSMA Systems." IEICE, 1993. http://hdl.handle.net/2237/7200.

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Chen, Weidong. "An efficient method for an ill-posed problem [three dashes]band-limited extrapolation by regularization." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/474.

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Quinteros, Milton I. "Design and Software Validation of Coded Communication Schemes using Multidimensional Signal Sets without Constellation Expansion Penalty in Band-Limited Gaussian and Fading Channels." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1937.

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It has been well reported that the use of multidimensional constellation signals can help to reduce the bit error rate in Additive Gaussian channels by using the hyperspace geometry more efficiently. Similarly, in fading channels, dimensionality provides an inherent signal space diversity (distinct components between two constellations points), so the amplitude degradation of the signal are combated significantly better. Moreover, the set of n-dimensional signals also provides great compatibility with various Trellis Coded modulation schemes: N-dimensional signaling joined with a convolutional
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Maule, Petr. "Generování pásmově omezených číslicových zvukových signálů v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218293.

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Master’s thesis deals with the generation of digital audio signals with band-limited frequency spectrum, i.e. without the aliasing distortion. Various methods of generating band-limited rectangular, triangular, and sawtooth waveforms are described in the theoretical part. The described methods are programmed in the Matlab programming environment and compared in terms of real-time parameter changes, such as duty cycle change of rectangular waveform or continuous change of frequency. The main part of the thesis describes implementation of methods of successive integration of band-limited impulse
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Thompson, Garth John. "Neural basis and behavioral effects of dynamic resting state functional magnetic resonance imaging as defined by sliding window correlation and quasi-periodic patterns." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49083.

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While task-based functional magnetic resonance imaging (fMRI) has helped us understand the functional role of many regions in the human brain, many diseases and complex behaviors defy explanation. Alternatively, if no task is performed, the fMRI signal between distant, anatomically connected, brain regions is similar over time. These correlations in “resting state” fMRI have been strongly linked to behavior and disease. Previous work primarily calculated correlation in entire fMRI runs of six minutes or more, making understanding the neural underpinnings of these fluctuations difficult. Recent
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CABRERA, GARCIA SERGIO DAVID. "OPTIMAL RECOVERY OF SIGNALS FROM LINEAR MEASUREMENTS AND PRIOR KNOWLEDGE (EXTRAPOLATION, DETERMINISTIC, BAND-LIMITED, SPECTRAL, ESTIMATION)." Thesis, 1985. http://hdl.handle.net/1911/19052.

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The problem of band-limited extrapolation is studied in a general framework of estimation of a signal in an ellipsoidal signal class from the value of a linear transformation. The dissertation deals with finite-length sequences and consequently with the Discrete Fourier Transform for our frequency domain. An algorithm is proposed for defining the signal class from the data. Optimal Recovery theory is described for estimating the value of a desired linear transformation from a given linear transformation and a bound on the norm in a Hilbert space. The optimal estimation procedure requires that
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Ding, Zhi Wei, and 丁智偉. "Filter-based implementation of interpolation and the improvement of band-limited signal extrapolation." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/37232110763182760116.

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Books on the topic "Band-limited signals"

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Halford, Donald. Transparent metrology of signal to noise ratios of noisy band-limited digital signals. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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2

Transparent Metrology of Signal to Noise Ratios of Noisy Band-Limited Digital Signals (Classic Reprint). Forgotten Books, 2018.

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3

Jones, William John. Direct frequency synthesis using combined digital and analogue techniques: Application of combined digital and analogue techniques in the direct synthesis of frequency agile low-noise microwave signals for airborne radar and in generation of band-limited digital signals. 1988.

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Book chapters on the topic "Band-limited signals"

1

Hurt, Norman E. "Recovery of Distorted Band-Limited Signals." In Phase Retrieval and Zero Crossings. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-010-9608-9_7.

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Hogan, Jeffrey A., and Joseph D. Lakey. "Sampling of Band-limited and Multiband Signals." In Duration and Bandwidth Limiting. Birkhäuser Boston, 2012. http://dx.doi.org/10.1007/978-0-8176-8307-8_5.

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Feichtinger, Hans G., and Thomas Strohmer. "IRSATOL — Irregular Sampling of Band-limited Signals TOOLBOX." In Multimedia und Computeranwendungen in der Lehre. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-00998-7_44.

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Ma, Junjie, Zheng Yao, Mingquan Lu, Yinqiao Li, and Yaxing Cai. "Band-Limited Multicarrier Multiplexing Technique for Navigation Signals." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2580-1_51.

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Király, Balázs, Margit Pap, and Ákos Pilgermajer. "Sampling and Rational Interpolation for Non-band-limited Signals." In Mathematics Without Boundaries. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1124-0_12.

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Shan, Baoling, Xin Yuan, Wei Ni, Ren Ping Liu, and Eryk Dutkiewicz. "Graph Extraction and Topology Learning of Band-Limited Signals." In Graph Learning Techniques. CRC Press, 2024. https://doi.org/10.1201/9781003516613-4.

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Serbes, G., N. Aydin, and H. O. Gulcur. "Directional Dual-Tree Complex Wavelet Packet Transform Implementation Using Band-Limited Synthetic Signals." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03005-0_3.

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Mugler, D. H., and Y. Wu. "Prediction of Band-Limited Signals from Past Samples and Applications to Speech Coding." In Nonuniform Sampling. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1229-5_13.

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Ferreira, P. J. S. G. "Iterative and Noniterative Recovery of Missing Samples for 1-D Band-Limited Signals." In Nonuniform Sampling. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1229-5_5.

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Tang, Bin, Wei Wang, and Lei Wang. "A New Method of Multipath Error Analysis for Band-Limited BOC Signal." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29175-3_5.

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Conference papers on the topic "Band-limited signals"

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Gaudenzi, Riccardo De, and Marco Luise. "Revisiting Band-Limited DS/SS Signal Design for GNSS." In 2024 11th Workshop on Satellite Navigation Technology (NAVITEC). IEEE, 2024. https://doi.org/10.1109/navitec63575.2024.10843514.

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Bernabeu, Joan, Lorenzo Ortega, Antoine Blais, Yoan Grégoire, and Eric Chaumette. "Delay Estimation with a Carrier Modulated by a Band-Limited Signal." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715390.

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Boche, Holger, and Ezra Tampubolon. "On the existence of the band-limited interpolation of non-band-limited signals." In 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, 2016. http://dx.doi.org/10.1109/eusipco.2016.7760284.

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4

Nafees, Wajeeha, Zubair Khalid, and Rodney A. Kennedy. "Spatially-Limited Sampling of Band-Limited Signals on the Sphere." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461855.

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Kida, Yuichi, and Takuro Kida. "Optimum discrete approximation of multidimensional band-limited signals." In ITCom 2003, edited by Andrew G. Tescher, Bhaskaran Vasudev, V. Michael Bove, Jr., and Ajay Divakaran. SPIE, 2003. http://dx.doi.org/10.1117/12.509845.

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Prioli, E., C. Chiaruttini, and A. Pregarz. "An analysis of tomographic resolution with band-limited signals." In 58th EAEG Meeting. EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408705.

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Petrovic, Predrag B. "Root-mean-square measurement of periodic, band-limited signals." In 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2012. http://dx.doi.org/10.1109/i2mtc.2012.6229146.

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Tani, Jacopo, Sandipan Mishra, and John T. Wen. "On Derivative Sampling From Image Blur for Reconstruction of Band-Limited Signals." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6180.

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Image sensors are typically characterized by slow sampling rates, which limit their efficacy in signal reconstruction applications. Their integrative nature though produces image blur when the exposure window is long enough to capture relative motion of the observed object relative to the sensor. Image blur contains more information on the observed dynamics than the typically used centroids, i.e., time averages of the motion within the exposure window. Parameters characterizing the observed motion, such as the signal derivatives at specified sampling instants, can be used for signal reconstruc
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Kida, Y., and T. Kida. "New set of signals providing kidas best interpolation approximation of band-limited signals." In IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228375.

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Bashar, Farhana, and Thushara D. Abhayapala. "Degrees of freedom of band limited signals measured over space." In 2012 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2012. http://dx.doi.org/10.1109/iscit.2012.6380999.

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Reports on the topic "Band-limited signals"

1

Halford, Donald. Transparent metrology of signal to noise ratios of noisy band-limited digital signals. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.tn.1077.

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