rfftwnd.fig

FFTW, a collection of fast C routines to compute the Discrete Fourier Transform in one or more dime

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2 1 0 1 32 32 546 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 545 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 544 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 543 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 542 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 541 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 540 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 539 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 538 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 537 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 536 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 535 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 534 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 533 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 532 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 531 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 530 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 529 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 528 0 -1 4.000 0 0 0 0 0 5
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2 1 0 0 33 33 527 0 20 4.000 0 0 0 0 0 5
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2 1 0 1 32 32 526 0 -1 4.000 0 0 0 0 0 5
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2 1 0 1 0 0 525 0 -1 4.000 0 0 0 0 0 2
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2 1 0 0 0 0 524 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 523 0 -1 4.000 0 0 0 0 0 3
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2 1 0 0 0 0 522 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 521 0 -1 4.000 0 0 0 0 0 3
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2 1 0 1 32 32 518 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 517 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 516 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 515 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 514 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 513 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 512 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 511 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 510 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 509 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 508 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 507 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 506 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 505 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 504 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 503 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 502 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 501 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 500 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 499 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 498 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 497 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 496 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 495 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 494 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 493 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 492 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 491 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 490 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 489 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 488 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 487 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 486 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 485 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 484 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 483 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 482 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 481 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 480 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 479 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 478 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 477 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 476 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 472 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 471 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 470 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 464 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 463 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 462 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 461 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 459 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 458 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 457 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 456 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 455 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 454 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 453 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 452 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 451 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 450 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 449 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 448 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 447 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 446 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 445 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 444 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 443 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 442 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 441 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 440 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 32 32 439 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 426 0 -1 4.000 0 0 0 0 0 2
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2 1 0 0 0 0 425 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 424 0 -1 4.000 0 0 0 0 0 3
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2 1 0 0 0 0 423 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 422 0 -1 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 421 0 -1 4.000 0 0 0 0 0 2
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2 1 0 0 0 0 420 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 419 0 -1 4.000 0 0 0 0 0 3
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2 1 0 0 0 0 418 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 417 0 -1 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 416 0 -1 4.000 0 0 0 0 0 2
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2 1 0 0 0 0 415 0 20 4.000 0 0 0 0 0 3
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2 1 0 0 0 0 413 0 20 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 412 0 -1 4.000 0 0 0 0 0 3
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2 1 0 1 0 0 389 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 388 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 387 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 386 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 385 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 384 0 -1 4.000 0 0 0 0 0 2
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2 1 0 1 0 0 383 0 -1 4.000 0 0 0 0 0 2
	 273 6130 273 6753
2 1 0 1 0 0 382 0 -1 4.000 0 0 0 0 0 2
	 382 5872 156 6130
2 1 0 1 0 0 381 0 -1 4.000 0 0 0 0 0 2
	 273 6130 148 6130
2 1 0 1 0 0 380 0 -1 4.000 0 0 0 0 0 2
	 487 6129 487 6753
2 1 0 1 0 0 379 0 -1 4.000 0 0 0 0 0 2
	 378 5872 604 6129
2 1 0 1 0 0 378 0 -1 4.000 0 0 0 0 0 2
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4 0 0 931 -1 16 15 0.0000 4 30 135 2064 7726 ...\001
4 0 0 849 -1 16 13 0.0000 4 150 270 2338 7001 ny \001
4 0 34 848 -1 16 13 0.0000 4 180 870 2605 7001 + 2-ny%2\001
4 0 0 847 -1 16 13 0.0000 4 180 1110 3500 7001  = 2*(ny/2+1)\001
4 0 0 845 -1 16 13 0.0000 4 105 195 681 8451 nx\001
4 0 0 843 -1 16 10 0.0000 4 120 90 1364 7179 0\001
4 0 0 841 -1 16 10 0.0000 4 150 345 6097 7179 ny+1\001
4 0 0 839 -1 16 10 0.0000 4 120 90 1064 7479 0\001
4 0 0 837 -1 16 10 0.0000 4 120 375 864 9479 nx-1\001
4 0 0 798 -1 16 25 1.5708 4 360 1575 6250 9461 (padding)\001
4 0 0 796 -1 18 16 1.5708 4 240 1695 428 9283 input, in-place\001
4 0 0 794 -1 16 10 0.0000 4 120 90 1264 7429 0\001
4 0 0 792 -1 16 10 0.0000 4 120 90 1681 7429 1\001
4 0 0 790 -1 16 10 0.0000 4 120 90 2081 7429 2\001
4 0 0 788 -1 16 10 0.0000 4 120 90 2481 7429 3\001
4 0 0 786 -1 16 10 0.0000 4 150 360 4081 7429 ny-4\001
4 0 0 784 -1 16 10 0.0000 4 150 360 4897 7429 ny-2\001
4 0 0 782 -1 16 10 0.0000 4 150 360 5297 7429 ny-1\001
4 0 0 780 -1 16 10 0.0000 4 150 360 4497 7429 ny-3\001
4 0 0 778 -1 16 10 0.0000 4 150 345 1264 7795 ny+2\001
4 0 0 776 -1 16 10 0.0000 4 150 345 1664 7795 ny+3\001
4 0 0 774 -1 16 10 0.0000 4 120 165 5681 7429 ny\001
4 0 0 772 -1 16 10 0.0000 4 150 345 6081 7429 ny+1\001
4 0 0 709 -1 16 15 0.0000 4 30 135 2064 3993 ...\001
4 0 0 651 -1 16 13 0.0000 4 180 585 3181 3267 ny/2+1\001
4 0 0 649 -1 16 13 0.0000 4 105 195 681 4717 nx\001
4 0 0 647 -1 16 10 0.0000 4 120 90 1564 3445 0\001
4 0 0 645 -1 16 10 0.0000 4 150 300 5831 3445 ny/2\001
4 0 0 643 -1 16 10 0.0000 4 120 90 1064 3745 0\001
4 0 0 641 -1 16 10 0.0000 4 120 375 864 5745 nx-1\001
4 0 0 611 -1 16 13 0.0000 4 165 855 1981 6463 = fftw_real\001
4 0 0 606 -1 16 13 0.0000 4 180 1230 4547 6463 = fftw_complex\001
4 0 0 604 -1 18 16 1.5708 4 225 780 428 5128 output\001
4 0 0 602 -1 16 10 0.0000 4 120 90 1264 3679 0\001
4 0 0 600 -1 16 10 0.0000 4 120 90 2081 3679 1\001
4 0 0 598 -1 16 10 0.0000 4 150 495 4097 3679 ny/2-2\001
4 0 0 596 -1 16 10 0.0000 4 150 495 4914 3679 ny/2-1\001
4 0 0 594 -1 16 10 0.0000 4 150 480 1264 4062 ny/2+1\001
4 0 0 592 -1 16 10 0.0000 4 150 300 5697 3679 ny/2\001
4 0 0 519 -1 16 15 0.0000 4 30 135 2064 943 ...\001
4 0 0 437 -1 16 13 0.0000 4 150 210 3381 217 ny\001
4 0 0 435 -1 16 13 0.0000 4 105 195 681 1667 nx\001
4 0 0 433 -1 16 10 0.0000 4 120 90 1364 395 0\001
4 0 0 431 -1 16 10 0.0000 4 150 360 5281 395 ny-1\001
4 0 0 429 -1 16 10 0.0000 4 120 90 1064 695 0\001
4 0 0 427 -1 16 10 0.0000 4 120 375 864 2695 nx-1\001
4 0 0 410 -1 18 16 1.5708 4 240 2235 428 2734 input, out-of-place\001
4 0 0 408 -1 16 10 0.0000 4 120 90 1264 629 0\001
4 0 0 406 -1 16 10 0.0000 4 120 90 1681 629 1\001
4 0 0 404 -1 16 10 0.0000 4 120 90 2081 629 2\001
4 0 0 402 -1 16 10 0.0000 4 120 90 2481 629 3\001
4 0 0 400 -1 16 10 0.0000 4 150 360 4081 629 ny-4\001
4 0 0 398 -1 16 10 0.0000 4 150 360 4897 629 ny-2\001
4 0 0 396 -1 16 10 0.0000 4 150 360 5297 629 ny-1\001
4 0 0 394 -1 16 10 0.0000 4 150 360 4497 629 ny-3\001
4 0 0 392 -1 16 10 0.0000 4 120 165 1264 1012 ny\001
4 0 0 390 -1 16 10 0.0000 4 150 345 1664 1012 ny+1\001
-6
4 0 0 932 -1 16 15 0.0000 4 15 60 74 89  \001
4 0 0 850 -1 16 13 0.0000 4 15 60 74 89  \001
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4 0 0 844 -1 16 10 0.0000 4 15 45 74 89  \001
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4 0 0 793 -1 16 10 0.0000 4 15 45 74 89  \001
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4 0 0 407 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 405 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 403 -1 16 10 0.0000 4 15 45 74 89  \001
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4 0 0 399 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 397 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 395 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 393 -1 16 10 0.0000 4 15 45 74 89  \001
4 0 0 391 -1 16 10 0.0000 4 15 45 1425 4800  \001