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Frequency identification by complex spectrum
ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005The fundamental frequency of signal is one of the important information. We can obtain the frequency of periodic wave from the peak of spectrum calculated by FFT. But the resolution of peak frequency is not so high. To get higher resolution, some methods have been proposed. They require a great deal of calculation.
Masakazu Imai, Seiji Inokuchi
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A Lattice with an Unusual Frequency Spectrum
Journal of Mathematical Physics, 1961The lattice is a special rooted Cayley tree, generated by N successive m-fold branchings. With each point of the tree are associated a mass M and a position coordinate xi. All end points are held fixed at xi=0. The potential energy is V=½ Σi,j Kij(xi−xj)2, where Kij=K if i and j are connected neighbors and neither is an end point, Kij=αK if i and j are
Rubin, Robert J., Zwanzig, Robert
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Variable frequency evolutionary spectrum
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002Evolutionary spectral theory provides a means for defining a decomposition of signal energy jointly over time and frequency for processes which exhibit an oscillatory behavior. The oscillatory model of behavior effectively assumes that a process is composed sinusoidal components with slowly-varying time-dependent amplitudes.
C. S. Detka, Amro El-Jaroudi
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The frequency spectrum of the flutes
International Journal of Modern Physics C, 2018As one type of lip-driven wind instruments, although flutes have a very long history, the acoustics of flutes is still unclear. Here, using the admittance matching method, the resonance frequencies of different tones for a flute are calculated with the precise correction for geometrical sizes.
Xue Quan, Meng-Yuan Zhang, Zhi-Guo Wang
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The frequency spectrum of text and vocabulary
Journal of Quantitative Linguistics, 1996Abstract The present paper deals with some problems of the analysis of the word‐frequency distribution and the possibility of its analytical description.
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Prediction of Radio Frequency Spectrum Occupancy
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020As more users access the radio frequency (RF) spectrum for wireless communications, spectrum availability is becoming an increasingly scarce resource. Hence, the ability to detect or predict when a spectrum channel is available for use is of great importance.
Hubert Kyeremateng-Boateng +3 more
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Frequency Spectrum Rotation in Interleaved Frequency Division Multiplexing
IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007Interleaved frequency division multiplexing (IFDM) can achieve high diversity gain as well as can establish orthogonal frequency multiplexing by means of comb-shaped frequency spectrum. In IFDM, as the number of multiplexing users becomes large, the comb-shaped frequency spectrum should be narrow, so that frequency diversity gain is decreased.
Osamu Takyu, Masao Nakagawa
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A localization property of line spectrum frequencies
IEEE Transactions on Speech and Audio Processing, 1994The interlacing property for the line spectrum frequencies (LSFs) is extended to the LSFs associated to successive order predictor polynomials. The corresponding separation theorem gives the most precise lower and upper bounds of the intervals which the LSFs may belong to. >
Gian Antonio Mian, Giuseppe Riccardi
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Computer analysis of frequency spectrum of a phonothyreogram
Medical & Biological Engineering & Computing, 1979An analysis of phonothyreograms and phonocardiograms was made with the aid of an ND minicomputer and a CYBER 73 computer system using an electrocardiogram signal as a reference time signal. Programs were written to estimate the power spectral density function of these signals. In patients with Graves' disease and those with nodular goiter the intrinsic
K J, Blinowska +3 more
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Frequency spectrum of a general Vicsek fractal
Physical Review B, 1993The nature of the frequency spectrum of a Vicsek fractal of any stage has been predicted using an analysis based on local symmetry and self-similarity. The analysis was carried out for transverse vibrations of the fractal with nearest-neighbor interactions.
, Jayanthi, , Wu
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