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Bispectrum

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419:. (0,0,0) (1/2,1/2,-1/2) (1/3,1/3,0) (1/2,0,0) (1/4,1/4,1/4). The plane containing the points (1/6,1/6,1/6) (1/4,1/4,0) (1/2,0,0) divides this volume into an inner and an outer region. A stationary signal will have zero strength (statistically) in the outer region. The trispectrum support is divided into regions by the plane identified above and by the (f1,f2) plane. Each region has different requirements in terms of the bandwidth of signal required for non-zero values. 360:
has been proven to be the corresponding correlation coefficient. Just as correlation cannot sufficiently demonstrate the presence of causality, spectrum and bicoherence also cannot sufficiently substantiate the existence of an nonlinear interaction.
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The bispectrum reflects the energy budget of interactions, as it can be interpreted as a covariance defined between energy-supplying and energy-receiving parties of waves involved in an nonlinear interaction. On the other hand,
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describes observations made at two wavelengths. It is often used by scientists to analyze elemental makeup of a planetary atmosphere by analyzing the amount of light reflected and received through various color
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Nemer, Elias J. (1999). "Speech analysis and quality enhancement using higher order cumulants" (Document). Ottawa: Ottawa-Carleton Institute for Electrical and Computer Engineering.
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The trispectrum has been used to investigate the domains of applicability of maximum kurtosis phase estimation used in the deconvolution of seismic data to find layer structure.
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and provide supplementary information to the power spectrum. The third order polyspectrum (bispectrum) is the easiest to compute, and hence the most popular.
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Biphase (phase of polyspectrum) can be used for detection of phase couplings, noise reduction of polharmonic (particularly, speech ) signal analysis.
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Mendel JM (1991). "Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications".
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photographs that, while not particularly useful for scientific analysis, are popular for public display in textbooks and fund raising campaigns.
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toolbox for spectral and polyspectral analysis, and time-frequency distributions. The documentation explains polyspectra in great detail.
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Greb U, Rusbridge MG (1988). "The interpretation of the bispectrum and bicoherence for non-linear interactions of continuous spectra".
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Fackrell, Justin W. A. (September 1996). "Bispectral analysis of speech signals" (Document). Edinburgh: The University of Edinburgh.
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of the trispectrum allow a much reduced support set to be defined, contained within the following vertices, where 1 is the
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signals monitoring. It was also shown that bispectra characterize differences between families of musical instruments.
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may be applied to the case of non-linear interactions of a continuous spectrum of propagating waves in one dimension.
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Bispectral analysis can also be used to analyze interactions between wave patterns and tides on Earth.
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The Fourier transform of C4 (t1, t2, t3) (fourth-order cumulant-generating function) is called the
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Dubnov S, Tishby N and Cohen D. (1997). "Polyspectra as Measures of Sound Texture and Timbre".
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as a function of frequency triples, the trispectrum identifies contributions to a signal's
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Kamalabadi, F.; Forbes, J. M.; Makarov, N. M.; Portnyagin, Yu. I. (27 February 1997).
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The trispectrum T(f1,f2,f3) falls into the category of higher-order spectra, or
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In the same way that the bispectrum identifies contributions to a signal's
668:"Rossby wave second harmonic generation observed in the middle atmosphere" 286:"Bispectral analysis" redirects here. For the speckle imaging method, see 427: 423: 412: 77: 41: 609:
Mathur, Surbhi; Patel, Jashvin; Goldstein, Sheldon; Jain, Ankit (2021),
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is a statistic used to search for nonlinear interactions.
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(2022-12-07). 617:, Treasure Island (FL): StatPearls Publishing, 747:HOSA - Higher Order Spectral Analysis Toolbox 8: 574:Journal of Geophysical Research: Atmospheres 96:allows fast calculation of the bispectrum: 344:waveforms to monitor depth of anesthesia. 699: 593: 509: 336:A form of bispectral analysis called the 262: 256: 236: 212: 199: 186: 170: 148: 126: 113: 101: 430:as a function of frequency quadruplets. 492:Johansen JW, Sebel PS (November 2000). 441: 380:A statistic defined analogously is the 7: 661: 659: 369:Bispectra fall in the category of 14: 511:10.1097/00000542-200011000-00029 787:Nonlinear time series analysis 218: 192: 176: 163: 154: 141: 132: 106: 1: 792:Statistical signal processing 543:Journal of New Music Research 48:function, is the traditional 451:Plasma Phys. Control. Fusion 808: 684:10.1038/s41467-022-35142-3 471:10.1088/0741-3335/30/5/005 285: 555:10.1080/09298219708570732 351:A physical interpretation 55:The Fourier transform of 272: 245: 225: 672:Nature Communications 273: 271:{\displaystyle F^{*}} 246: 226: 382:bispectral coherency 371:higher-order spectra 255: 235: 100: 40:of the second-order 22:statistical analysis 772:Integral transforms 586:1997JGR...102.4437K 463:1988PPCF...30..537G 402:trispectral density 315:Bispectral analysis 94:convolution theorem 611:"Bispectral Index" 268: 241: 221: 82:bispectral density 595:10.1029/96JD01996 580:(D4): 4437–4446. 417:Nyquist frequency 244:{\displaystyle F} 38:Fourier transform 20:, in the area of 799: 777:Fourier analysis 767:Complex analysis 743: 714: 713: 703: 663: 654: 653: 649: 643: 642: 638: 632: 631: 630: 629: 606: 600: 599: 597: 565: 559: 558: 538: 532: 531: 513: 489: 483: 482: 446: 338:bispectral index 277: 275: 274: 269: 267: 266: 250: 248: 247: 242: 230: 228: 227: 222: 217: 216: 204: 203: 191: 190: 175: 174: 153: 152: 131: 130: 118: 117: 807: 806: 802: 801: 800: 798: 797: 796: 757: 756: 740:10.1109/5.75086 725: 722: 720:Further reading 717: 665: 664: 657: 651: 650: 646: 640: 639: 635: 627: 625: 608: 607: 603: 567: 566: 562: 540: 539: 535: 491: 490: 486: 448: 447: 443: 439: 394: 367: 365:Generalizations 353: 293:Bispectrum and 291: 288:Speckle masking 284: 278:its conjugate. 258: 253: 252: 233: 232: 208: 195: 182: 166: 144: 122: 109: 98: 97: 90: 76:) (third-order 75: 68: 61: 46:autocorrelation 34: 12: 11: 5: 805: 803: 795: 794: 789: 784: 779: 774: 769: 759: 758: 755: 754: 744: 734:(3): 278–305. 721: 718: 716: 715: 655: 644: 633: 601: 560: 549:(4): 277–314. 533: 504:(5): 1336–44. 498:Anesthesiology 484: 440: 438: 435: 393: 390: 366: 363: 352: 349: 340:is applied to 283: 280: 265: 261: 240: 220: 215: 211: 207: 202: 198: 194: 189: 185: 181: 178: 173: 169: 165: 162: 159: 156: 151: 147: 143: 140: 137: 134: 129: 125: 121: 116: 112: 108: 105: 89: 86: 73: 66: 59: 50:power spectrum 33: 30: 13: 10: 9: 6: 4: 3: 2: 804: 793: 790: 788: 785: 783: 780: 778: 775: 773: 770: 768: 765: 764: 762: 752: 748: 745: 741: 737: 733: 729: 724: 723: 719: 711: 707: 702: 697: 693: 689: 685: 681: 677: 673: 669: 662: 660: 656: 648: 645: 637: 634: 624: 620: 616: 612: 605: 602: 596: 591: 587: 583: 579: 575: 571: 564: 561: 556: 552: 548: 544: 537: 534: 529: 525: 521: 517: 512: 507: 503: 499: 495: 488: 485: 480: 476: 472: 468: 464: 460: 457:(5): 537–49. 456: 452: 445: 442: 436: 434: 431: 429: 425: 420: 418: 414: 410: 405: 403: 399: 391: 389: 387: 383: 378: 376: 372: 364: 362: 359: 350: 348: 345: 343: 339: 334: 331: 329: 325: 324:interpolation 321: 316: 312: 310: 305: 303: 298: 296: 289: 281: 279: 263: 259: 238: 213: 209: 205: 200: 196: 187: 183: 179: 171: 167: 160: 157: 149: 145: 138: 135: 127: 123: 119: 114: 110: 103: 95: 92:Applying the 87: 85: 83: 79: 72: 65: 58: 53: 51: 47: 43: 39: 31: 29: 27: 23: 19: 731: 727: 675: 671: 647: 636: 626:, retrieved 614: 604: 577: 573: 563: 546: 542: 536: 501: 497: 487: 454: 450: 444: 432: 421: 406: 401: 397: 395: 385: 381: 379: 374: 370: 368: 354: 346: 335: 332: 314: 313: 306: 299: 292: 282:Applications 91: 81: 70: 63: 56: 54: 44:, i.e., the 35: 25: 15: 782:Time series 678:(1): 7544. 409:polyspectra 398:trispectrum 392:Trispectrum 386:bicoherence 375:polyspectra 358:bicoherence 295:bicoherence 88:Calculation 32:Definitions 18:mathematics 761:Categories 728:Proc. IEEE 628:2021-04-08 615:StatPearls 437:References 413:symmetries 328:true color 309:seismology 26:bispectrum 692:2041-1723 479:250741815 264:∗ 188:∗ 180:⋅ 158:⋅ 710:36476614 623:30969631 520:11046224 428:kurtosis 424:skewness 231:, where 78:cumulant 42:cumulant 701:9729661 582:Bibcode 459:Bibcode 320:filters 69:,  751:MATLAB 708:  698:  690:  621:  528:379085 526:  518:  477:  24:, the 524:S2CID 475:S2CID 373:, or 749:: A 706:PMID 688:ISSN 619:PMID 516:PMID 36:The 736:doi 696:PMC 680:doi 590:doi 578:102 551:doi 506:doi 467:doi 400:or 384:or 342:EEG 307:In 302:EEG 84:. 52:. 16:In 763:: 732:79 730:. 704:. 694:. 686:. 676:13 674:. 670:. 658:^ 613:, 588:. 576:. 572:. 547:26 545:. 522:. 514:. 502:93 500:. 496:. 473:. 465:. 455:30 453:. 404:. 388:. 742:. 738:: 712:. 682:: 598:. 592:: 584:: 557:. 553:: 530:. 508:: 481:. 469:: 461:: 290:. 260:F 239:F 219:) 214:2 210:f 206:+ 201:1 197:f 193:( 184:F 177:) 172:2 168:f 164:( 161:F 155:) 150:1 146:f 142:( 139:F 136:= 133:) 128:2 124:f 120:, 115:1 111:f 107:( 104:B 74:2 71:t 67:1 64:t 62:( 60:3 57:C

Index

mathematics
statistical analysis
Fourier transform
cumulant
autocorrelation
power spectrum
cumulant
convolution theorem
Speckle masking
bicoherence
EEG
seismology
filters
interpolation
true color
bispectral index
EEG
bicoherence
polyspectra
symmetries
Nyquist frequency
skewness
kurtosis
Bibcode
1988PPCF...30..537G
doi
10.1088/0741-3335/30/5/005
S2CID
250741815
"Development and clinical application of electroencephalographic bispectrum monitoring"

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