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Journal articles on the topic 'Time-frequency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Richman, M. S., T. W. Parks, and R. G. Shenoy. "Discrete-time, discrete-frequency, time-frequency analysis." IEEE Transactions on Signal Processing 46, no. 6 (1998): 1517–27. http://dx.doi.org/10.1109/78.678465.

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2

Ke Zhang, Ke Zhang, Decai Zou Ke Zhang, Pei Wang Decai Zou, and Wenfang Jing Pei Wang. "A New Device for Two-Way Time-Frequency Real-Time Synchronization." 網際網路技術學刊 24, no. 3 (2023): 817–24. http://dx.doi.org/10.53106/160792642023052403024.

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<p>The netted wireless sensor nodes or coherent accumulation processing in multistatic radar imaging requires high accuracy time synchronization. Although GNSS timing can also be used as a time synchronization method to serve the applications above, its timing accuracy will be limited. In this context, we present the hardware implementation for Two-Way Time-Frequency Real-Time Synchronization (TWTFRTS) with an automatic adaptive jitter elimination algorithm based on Kalman and PID, which is implemented in a real-time, low-cost, portable Xilinx ZYNQ device. A short (2 km) baseline TWTFRTS

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3

Filipsky, Yu K., А. R. Аgadzhanyan, and I. V. Svyryd. "Application of time-frequency spectral analysis methods." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 1 (March 31, 2015): 141–45. http://dx.doi.org/10.15276/opu.1.45.2015.23.

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4

Hlawatsch, F., and W. Kozek. "Time-frequency projection filters and time-frequency signal expansions." IEEE Transactions on Signal Processing 42, no. 12 (1994): 3321–34. http://dx.doi.org/10.1109/78.340770.

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5

Stanković, Ljubiša, Miloš Daković, and Thayananthan Thayaparan. "A real-time time-frequency based instantaneous frequency estimator." Signal Processing 93, no. 5 (2013): 1392–97. http://dx.doi.org/10.1016/j.sigpro.2012.11.005.

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6

Qodirova, Zilola. "USAGE OF TIME EXPRESSIONS." Multidisciplinary Journal of Science and Technology 4, no. 10 (2024): 316–19. https://doi.org/10.5281/zenodo.14002290.

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Time expressions are phrases or idioms that convey specific meanings related to the concept of time. They can enhance communication by adding depth and context to discussions about schedules, deadlines, or the passage of time. Here are some notable time expressions, along with their meanings and usage.

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7

COHEN, LEON. "Time-Frequency Spatial-Spatial Frequency Representations." Annals of the New York Academy of Sciences 808, no. 1 Nonlinear Sig (1997): 97–115. http://dx.doi.org/10.1111/j.1749-6632.1997.tb51655.x.

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8

Hall, Matt. "Time-frequency decomposition." Leading Edge 37, no. 6 (2018): 468–70. http://dx.doi.org/10.1190/tle37060468.1.

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9

Popescu, Theodor D. "Time-frequency analysis." Control Engineering Practice 5, no. 2 (1997): 292–94. http://dx.doi.org/10.1016/s0967-0661(97)90028-9.

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10

Belouchrani, A., and M. G. Amin. "Time-frequency MUSIC." IEEE Signal Processing Letters 6, no. 5 (1999): 109–10. http://dx.doi.org/10.1109/97.755429.

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11

Balan, Radu V., H. Vincent Poor, Scott T. Rickard, and Sergio Verdú. "Canonical time-frequency, time-scale, and frequency-scale representations of time-varying channels." Communications in Information and Systems 5, no. 2 (2005): 197–226. http://dx.doi.org/10.4310/cis.2005.v5.n2.a3.

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12

Richard, C. "Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions." IEEE Transactions on Signal Processing 50, no. 9 (2002): 2170–76. http://dx.doi.org/10.1109/tsp.2002.801927.

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13

VELASCO, G. A. M., and M. DÖRFLER. "Sampling time-frequency localized functions and constructing localized time-frequency frames." European Journal of Applied Mathematics 28, no. 5 (2016): 854–76. http://dx.doi.org/10.1017/s095679251600053x.

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We study functions whose time-frequency content are concentrated in a compact region in phase space using time-frequency localization operators as a main tool. We obtain approximation inequalities for such functions using a finite linear combination of eigenfunctions of these operators, as well as a local Gabor system covering the region of interest. These would allow the construction of modified time-frequency dictionaries concentrated in the region.

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14

Dalianis, S. A., and J. K. Hammond. "TIME–FREQUENCY SPECTRA FOR FREQUENCY-MODULATED PROCESSES." Mechanical Systems and Signal Processing 11, no. 4 (1997): 621–35. http://dx.doi.org/10.1006/mssp.1997.0100.

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15

Zhang, Ran, Xingxing Liu, Yongjun Zheng, et al. "Time‐frequency synchroextracting transform." IET Signal Processing 16, no. 2 (2021): 117–31. http://dx.doi.org/10.1049/sil2.12073.

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16

Donchenko, S. I. "Time and frequency measurements." Measurement Techniques 47, no. 10 (2004): 985–90. http://dx.doi.org/10.1007/pl00022016.

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17

Mallat, Stephane G. "Adaptive time-frequency decompositions." Optical Engineering 33, no. 7 (1994): 2183. http://dx.doi.org/10.1117/12.173207.

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18

DeBrunner, V., M. Ozaydin, and T. Przebinda. "Resolution in time-frequency." IEEE Transactions on Signal Processing 47, no. 3 (1999): 783–88. http://dx.doi.org/10.1109/78.747783.

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19

Shie Qian and Dapang Chen. "Joint time-frequency analysis." IEEE Signal Processing Magazine 16, no. 2 (1999): 52–67. http://dx.doi.org/10.1109/79.752051.

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20

Ibrahim, Mostafa, Ali Fatih Demir, and Huseyin Arslan. "Time–Frequency Warped Waveforms." IEEE Communications Letters 23, no. 1 (2019): 36–39. http://dx.doi.org/10.1109/lcomm.2018.2882498.

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21

Gardner, T. J., and M. O. Magnasco. "Sparse time-frequency representations." Proceedings of the National Academy of Sciences 103, no. 16 (2006): 6094–99. http://dx.doi.org/10.1073/pnas.0601707103.

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22

Feng Zhang, Guoan Bi, and Yan Qiu Chen. "Tomography time-frequency transform." IEEE Transactions on Signal Processing 50, no. 6 (2002): 1289–97. http://dx.doi.org/10.1109/tsp.2002.1003054.

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23

Nilsen, G. K. "Recursive Time-Frequency Reassignment." IEEE Transactions on Signal Processing 57, no. 8 (2009): 3283–87. http://dx.doi.org/10.1109/tsp.2009.2020355.

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24

Hellwig, H. "Time and frequency applications." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 40, no. 5 (1993): 538–43. http://dx.doi.org/10.1109/58.238107.

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25

Honeine, Paul, Cdric Richard, and Patrick Flandrin. "Time-Frequency Learning Machines." IEEE Transactions on Signal Processing 55, no. 7 (2007): 3930–36. http://dx.doi.org/10.1109/tsp.2007.894252.

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26

Anden, Joakim, Vincent Lostanlen, and Stephane Mallat. "Joint Time–Frequency Scattering." IEEE Transactions on Signal Processing 67, no. 14 (2019): 3704–18. http://dx.doi.org/10.1109/tsp.2019.2918992.

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27

Donchenko, S. I. "Time and frequency measurements." Measurement Techniques 47, no. 10 (2004): 985–90. http://dx.doi.org/10.1007/s11018-005-0007-2.

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28

Dai, L., and Z. Wang. "Time-frequency training OFDM." Electronics Letters 47, no. 20 (2011): 1128. http://dx.doi.org/10.1049/el.2011.2643.

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29

Pei, Soo Chang, and Er Jung Tsai. "New Time-Frequency Distribution." Circuits, Systems, and Signal Processing 14, no. 4 (1995): 539–53. http://dx.doi.org/10.1007/bf01260336.

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30

Hinrichs, Maren, and Gerd Wechsung. "Time Bounded Frequency Computations." Information and Computation 139, no. 2 (1997): 234–57. http://dx.doi.org/10.1006/inco.1997.2666.

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31

Liu, Naihao, Jinghuai Gao, Xiudi Jiang, Zhuosheng Zhang, and Qian Wang. "Seismic Time–Frequency Analysis via STFT-Based Concentration of Frequency and Time." IEEE Geoscience and Remote Sensing Letters 14, no. 1 (2017): 127–31. http://dx.doi.org/10.1109/lgrs.2016.2630734.

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32

Hlawatsch, F., A. H. Costa, and W. Krattenthaler. "Time-frequency signal synthesis with time-frequency extrapolation and don't-care regions." IEEE Transactions on Signal Processing 42, no. 9 (1994): 2513–20. http://dx.doi.org/10.1109/78.317876.

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33

Saraswathy, J., M. Hariharan, Wan Khairunizam, et al. "Time–frequency analysis in infant cry classification using quadratic time frequency distributions." Biocybernetics and Biomedical Engineering 38, no. 3 (2018): 634–45. http://dx.doi.org/10.1016/j.bbe.2018.05.002.

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34

Dvornikov, S. "Generalized Hybrid Scale-Frequency-Time Distributions in Time-Frequency Space: Continued Review." Proceedings of Telecommunication Universities 4, no. 4 (2018): 20–35. http://dx.doi.org/10.31854/1813-324x-2018-4-4-20-35.

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35

Xu, Kui, Youyun Xu, Wenfeng Ma, Wei Xie, and Dongmei Zhang. "Time and Frequency Synchronization for Multicarrier Transmission on Hexagonal Time-Frequency Lattice." IEEE Transactions on Signal Processing 61, no. 24 (2013): 6204–19. http://dx.doi.org/10.1109/tsp.2013.2284153.

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36

Colominas, Marcelo A., Sylvain Meignen, and Duong-Hung Pham. "Time-Frequency Filtering Based on Model Fitting in the Time-Frequency Plane." IEEE Signal Processing Letters 26, no. 5 (2019): 660–64. http://dx.doi.org/10.1109/lsp.2019.2904148.

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37

WAN, Pengcheng, Weike FENG, Ningning TONG, and Wei WEI. "A time-frequency feature prediction network for time-varying radio frequency interference." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 41, no. 3 (2023): 587–94. http://dx.doi.org/10.1051/jnwpu/20234130587.

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The time-varying radio frequency interference has strong nonlinear dynamic characteristics, which is difficult to be predicted by linear method effectively, making the anti-interference decision without sufficient information support. To solve this problem, a recurrent neural network for spectrum prediction based on time-frequency correlation features is proposed. A sliding window is used to characterize the two-dimensional correlation of time-frequency series, and the spectrum prediction problem is transformed into a problem similar to spatiotemporal sequence prediction. A gradient bridge str

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38

Stanković, Ljubiša, Jonatan Lerga, Danilo Mandic, Miloš Brajović, Cédric Richard, and Miloš Daković. "From Time–Frequency to Vertex–Frequency and Back." Mathematics 9, no. 12 (2021): 1407. http://dx.doi.org/10.3390/math9121407.

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The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided. Vertex–frequency localization-based approaches to analyzing signals on the graph emerged as a response to challenges of analysis of big data on irregular domains. Graph signals are either localized in the vertex domain before the spectral analysis is performed or are localized in the spectral domain prior to the inverse graph Fourier transform is applied. The latter approach is the spectral for

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39

Nachane, D. M. "Time-Frequency Analysis for Nonstationary Time Series." Journal of Quantitative Economics 2, no. 2 (2004): 41–57. http://dx.doi.org/10.1007/bf03404608.

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40

Lili Wang, Lili Wang, Zhaoshuo Tian Zhaoshuo Tian, Yanchao Zhang Yanchao Zhang, et al. "Frequency stabilization of pulsed CO2 laser using setup-time method." Chinese Optics Letters 10, no. 1 (2012): 011402–11404. http://dx.doi.org/10.3788/col201210.011402.

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41

SUN, Shuping, Zhongwei JIANG, and Haibin WANG. "1204 Heart Sound Clustering Method Using Time-Frequency Distribution Energy." Proceedings of Conference of Chugoku-Shikoku Branch 2010.48 (2010): 365–66. http://dx.doi.org/10.1299/jsmecs.2010.48.365.

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42

Poměnková, J., and R. Maršálek. " Time and frequency domain in the business cycle structure." Agricultural Economics (Zemědělská ekonomika) 58, No. 7 (2012): 332–46. http://dx.doi.org/10.17221/113/2011-agricecon.

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&nbsp;The presented paper deals with the identification of cyclical behaviour of business cycle from the time and frequency domain perspective. Herewith, methods for obtaining the growth business cycle are investigated &ndash; the first order difference, the unobserved component models, the regression curves and filtration using the Baxter-King, Christiano-Fitzgerald and Hodrick-Prescott filter. In the case of the time domain, the analysis identification of cycle lengths is based on the dating process of the growth business cycle. Thus, the right and left variant of the naive technique

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43

ISHII, K. "Space-Time-Frequency Turbo Code over Time-Varying and Frequency-Selective Fading Channel." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A, no. 10 (2005): 2885–95. http://dx.doi.org/10.1093/ietfec/e88-a.10.2885.

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44

Samantaray, Leena, Madhumita Dash, and Rutuparna Panda. "A Review on Time-frequency, Time-scale and Scale-frequency Domain Signal Analysis." IETE Journal of Research 51, no. 4 (2005): 287–93. http://dx.doi.org/10.1080/03772063.2005.11416406.

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45

Mu, Tong, and Yaoliang Song. "Time reversal imaging based on joint space–frequency and frequency–frequency data." International Journal of Microwave and Wireless Technologies 11, no. 3 (2019): 207–14. http://dx.doi.org/10.1017/s1759078718001691.

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AbstractA new time reversal (TR) method for target imaging is proposed in this paper. Through single measurement by the antenna array, the received signals are utilized to form the space–frequency–frequency multistatic data matrix (MDM). Singular value decomposition is applied to the matrix to obtain the left singular vectors which span the signal subspace. The obtained vectors are divided into multiple subvectors by two different schemes and used to provide target signatures in the form of coarse frequency dependence and relative phase shifts that can be exploited to construct the imaging fun

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46

Zeng, Hongjun, and Ran Lu. "High-frequency volatility connectedness and time-frequency correlation among Chinese stock and major commodity markets around COVID-19." Investment Management and Financial Innovations 19, no. 2 (2022): 260–73. http://dx.doi.org/10.21511/imfi.19(2).2022.23.

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This study examines the connectedness and time-frequency correlation of price volatility across the Chinese stock market and major commodity markets. This paper applies a DCC-GARCH-based volatility connectedness model and the cross-wavelet transform to examine the transmission of risk patterns in these markets before and during the COVID-19 outbreak, as well as the leading lag relationship and synergistic movements between different time domains. First, the findings of the DCC-GARCH connectedness model show dynamic total spillovers are stronger after the COVID-19 outbreak. Chinese stocks and c

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47

BO, Lin. "Extraction of Instantaneous Frequency Characteristic Using Time-frequency Ridges." Chinese Journal of Mechanical Engineering 44, no. 10 (2008): 222. http://dx.doi.org/10.3901/jme.2008.10.222.

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48

Lovell, B. C., R. C. Williamson, and B. Boashash. "The relationship between instantaneous frequency and time-frequency representations." IEEE Transactions on Signal Processing 41, no. 3 (1993): 1458–61. http://dx.doi.org/10.1109/78.205756.

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49

Khan, Waseem, and Ijaz Mansoor Qureshi. "Frequency Diverse Array Radar With Time-Dependent Frequency Offset." IEEE Antennas and Wireless Propagation Letters 13 (2014): 758–61. http://dx.doi.org/10.1109/lawp.2014.2315215.

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50

Wang, Chenshu, and Moeness G. Amin. "Time–frequency distribution spectral polynomials for instantanous frequency estimation." Signal Processing 76, no. 2 (1999): 211–17. http://dx.doi.org/10.1016/s0165-1684(99)00009-2.

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