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Normalized frequency (signal processing)

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387: 95:). Some software applications require normalized inputs and produce normalized outputs, which can be re-scaled to physical units when necessary. Mathematical derivations are usually done in normalized units, relevant to a wide range of applications. 648: 1159: 390:
Example of plotting samples of a frequency distribution in the unit "bins", which are integer values. A scale factor of 0.7812 converts a bin number into the corresponding physical unit (hertz).
1109: 979: 1213: 1039: 916: 184: 802: 856: 498: 431: 527: 719: 298: 598: 572: 343: 243: 134: 93: 683: 451: 208: 60: 378: 1348: 454: 1254: 603: 1117: 1061: 931: 1330: 1174: 383:. Therefore, the normalized frequency unit is important when converting normalized results into physical units. 31: 17: 987: 864: 139: 760: 1294: 464: 397: 300:
as the frequency reference, which changes the numeric range that represents frequencies of interest from
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A common practice is to sample the frequency spectrum of the sampled data at frequency intervals of
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regardless of whether the original signal is a function of time or distance. For example, when
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Taboga, Marco (2021). "Discrete Fourier Transform - Frequencies", Lectures on matrix algebra.
1250: 576: 551: 257: 583: 557: 136:) that is used to create the digital signal from a continuous one. The normalized quantity, 1304: 1226: 303: 221: 112: 71: 662: 1290: 436: 193: 45: 351: 1342: 105: 64: 1316: 1272:"On the use of Windows for Harmonic Analysis with the Discrete Fourier Transform" 1271: 1331:
https://www.statlect.com/matrix-algebra/discrete-Fourier-transform-frequencies
1308: 461:) are numbered consecutively, corresponding to a frequency normalization by 39: 725: 256:
toolboxes) that design filters with real-valued coefficients prefer the
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The following table shows examples of normalized frequency for
62:) and a constant frequency associated with a system (such as a 1249:. Boston, MA: ©Houghton Mifflin Co. pp. 469, 490. 1133: 1083: 1003: 953: 880: 776: 619: 508: 469: 402: 319: 155: 1177: 1120: 1064: 990: 934: 867: 820: 763: 694: 665: 606: 600:
is normalized with reference to the sampling rate as
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A typical choice of characteristic frequency is the
643:{\displaystyle \omega '={\tfrac {\omega }{f_{s}}},} 1207: 1154:{\displaystyle \omega '={\tfrac {\omega }{f_{s}}}} 1153: 1103: 1033: 973: 910: 850: 796: 713: 677: 642: 592: 566: 521: 492: 445: 425: 372: 337: 292: 237: 202: 178: 128: 87: 54: 18:Normalized frequency (digital signal processing) 27:Frequency divided by a characteristic frequency 1104:{\displaystyle f=f'\cdot {\tfrac {f_{s}}{N}}} 974:{\displaystyle f=f'\cdot {\tfrac {f_{s}}{2}}} 8: 650:the normalized Nyquist angular frequency is 457:). The samples (sometimes called frequency 1208:{\displaystyle \omega =\omega '\cdot f_{s}} 1298: 1199: 1176: 1142: 1132: 1119: 1089: 1082: 1063: 1019: 1013: 1002: 989: 959: 952: 933: 896: 890: 879: 866: 842: 819: 785: 775: 762: 699: 693: 664: 628: 618: 605: 585: 559: 507: 505: 475: 468: 466: 438: 408: 401: 399: 353: 318: 305: 279: 273: 264: 229: 223: 195: 164: 154: 141: 120: 114: 79: 73: 47: 1034:{\displaystyle f'={\tfrac {f}{f_{s}/N}}} 911:{\displaystyle f'={\tfrac {f}{f_{s}/2}}} 730: 385: 1237: 179:{\displaystyle f'={\tfrac {f}{f_{s}}},} 797:{\displaystyle f'={\tfrac {f}{f_{s}}}} 7: 728:), and 4 normalization conventions: 580:, can be similarly normalized. When 500:The normalized Nyquist frequency is 493:{\displaystyle {\tfrac {f_{s}}{N}}.} 426:{\displaystyle {\tfrac {f_{s}}{N}},} 25: 1247:Signal and Linear System Analysis 1270:Harris, Fredric J. (Jan 1978). 851:{\displaystyle f=f'\cdot f_{s}} 522:{\displaystyle {\tfrac {N}{2}}} 367: 355: 287: 266: 1: 1169:1000 × 2π / 44100 = 0.14250 1245:Carlson, Gordon E. (1992). 714:{\displaystyle f_{s}=44100} 433:for some arbitrary integer 1370: 1349:Digital signal processing 293:{\displaystyle (f_{s}/2)} 99:Examples of normalization 38:is a ratio of a variable 32:digital signal processing 455:§ Sampling the DTFT 1309:10.1109/PROC.1978.10837 1279:Proceedings of the IEEE 926:1000 / 22050 = 0.04535 812:1000 / 44100 = 0.02268 593:{\displaystyle \omega } 567:{\displaystyle \omega } 252:Some programs (such as 1209: 1155: 1105: 1035: 975: 912: 852: 798: 715: 679: 644: 594: 568: 523: 494: 447: 427: 391: 374: 339: 294: 239: 204: 180: 130: 89: 56: 1210: 1156: 1106: 1036: 976: 913: 853: 799: 716: 680: 645: 595: 569: 524: 495: 448: 428: 389: 375: 340: 338:{\displaystyle \left} 295: 240: 238:{\displaystyle f_{s}} 205: 181: 131: 129:{\displaystyle f_{s}} 90: 88:{\displaystyle f_{s}} 57: 1175: 1118: 1062: 988: 932: 865: 818: 761: 692: 663: 604: 584: 558: 504: 465: 437: 398: 352: 304: 263: 222: 194: 140: 113: 72: 46: 36:normalized frequency 1291:1978IEEEP..66...51H 732: 678:{\displaystyle f=1} 1205: 1163:    1151: 1149: 1101: 1099: 1053:/ 44100 = 0.02268 1043:    1031: 1029: 971: 969: 920:    908: 906: 848: 806:    794: 792: 731: 724:(often denoted by 711: 675: 640: 635: 590: 577:radians per second 574:and with the unit 564: 519: 517: 490: 485: 443: 423: 418: 392: 370: 335: 328: 290: 247:samples per second 235: 200: 176: 171: 126: 85: 52: 1218: 1217: 1148: 1098: 1028: 968: 922:half-cycle/sample 905: 791: 634: 552:Angular frequency 516: 484: 446:{\displaystyle N} 417: 381:half-cycle/sample 327: 258:Nyquist frequency 216:cycles per second 203:{\displaystyle f} 170: 55:{\displaystyle f} 16:(Redirected from 1361: 1334: 1327: 1321: 1320: 1302: 1276: 1267: 1261: 1260: 1242: 1227:Prototype filter 1214: 1212: 1211: 1206: 1204: 1203: 1191: 1160: 1158: 1157: 1152: 1150: 1147: 1146: 1134: 1128: 1110: 1108: 1107: 1102: 1100: 1094: 1093: 1084: 1078: 1056: 1052: 1040: 1038: 1037: 1032: 1030: 1027: 1023: 1018: 1017: 1004: 998: 980: 978: 977: 972: 970: 964: 963: 954: 948: 917: 915: 914: 909: 907: 904: 900: 895: 894: 881: 875: 857: 855: 854: 849: 847: 846: 834: 803: 801: 800: 795: 793: 790: 789: 777: 771: 733: 720: 718: 717: 712: 704: 703: 684: 682: 681: 676: 655: 653:π radians/sample 649: 647: 646: 641: 636: 633: 632: 620: 614: 599: 597: 596: 591: 573: 571: 570: 565: 544: 542: 541: 538: 535: 528: 526: 525: 520: 518: 509: 499: 497: 496: 491: 486: 480: 479: 470: 452: 450: 449: 444: 432: 430: 429: 424: 419: 413: 412: 403: 379: 377: 376: 373:{\displaystyle } 371: 344: 342: 341: 336: 334: 330: 329: 320: 299: 297: 296: 291: 283: 278: 277: 245:is expressed in 244: 242: 241: 236: 234: 233: 210:is expressed in 209: 207: 206: 201: 188:cycle per sample 185: 183: 182: 177: 172: 169: 168: 156: 150: 135: 133: 132: 127: 125: 124: 94: 92: 91: 86: 84: 83: 61: 59: 58: 53: 21: 1369: 1368: 1364: 1363: 1362: 1360: 1359: 1358: 1339: 1338: 1337: 1328: 1324: 1300:10.1.1.649.9880 1274: 1269: 1268: 1264: 1257: 1244: 1243: 1239: 1235: 1223: 1195: 1184: 1173: 1172: 1138: 1121: 1116: 1115: 1085: 1071: 1060: 1059: 1054: 1050: 1009: 1008: 991: 986: 985: 955: 941: 930: 929: 886: 885: 868: 863: 862: 838: 827: 816: 815: 781: 764: 759: 758: 695: 690: 689: 661: 660: 651: 624: 607: 602: 601: 582: 581: 556: 555: 539: 536: 533: 532: 530: 502: 501: 471: 463: 462: 435: 434: 404: 396: 395: 350: 349: 311: 307: 302: 301: 269: 261: 260: 225: 220: 219: 192: 191: 160: 143: 138: 137: 116: 111: 110: 101: 75: 70: 69: 44: 43: 28: 23: 22: 15: 12: 11: 5: 1367: 1365: 1357: 1356: 1351: 1341: 1340: 1336: 1335: 1322: 1262: 1255: 1236: 1234: 1231: 1230: 1229: 1222: 1219: 1216: 1215: 1202: 1198: 1194: 1190: 1187: 1183: 1180: 1170: 1167: 1165:radians/sample 1161: 1145: 1141: 1137: 1131: 1127: 1124: 1112: 1111: 1097: 1092: 1088: 1081: 1077: 1074: 1070: 1067: 1057: 1047: 1041: 1026: 1022: 1016: 1012: 1007: 1001: 997: 994: 982: 981: 967: 962: 958: 951: 947: 944: 940: 937: 927: 924: 918: 903: 899: 893: 889: 884: 878: 874: 871: 859: 858: 845: 841: 837: 833: 830: 826: 823: 813: 810: 804: 788: 784: 780: 774: 770: 767: 755: 754: 749: 744: 739: 722:samples/second 710: 707: 702: 698: 674: 671: 668: 639: 631: 627: 623: 617: 613: 610: 589: 563: 529:with the unit 515: 512: 489: 483: 478: 474: 442: 422: 416: 411: 407: 369: 366: 363: 360: 357: 333: 326: 323: 317: 314: 310: 289: 286: 282: 276: 272: 268: 232: 228: 199: 175: 167: 163: 159: 153: 149: 146: 123: 119: 100: 97: 82: 78: 51: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1366: 1355: 1352: 1350: 1347: 1346: 1344: 1332: 1326: 1323: 1318: 1314: 1310: 1306: 1301: 1296: 1292: 1288: 1284: 1280: 1273: 1266: 1263: 1258: 1252: 1248: 1241: 1238: 1232: 1228: 1225: 1224: 1220: 1200: 1196: 1192: 1188: 1185: 1181: 1178: 1171: 1168: 1166: 1162: 1143: 1139: 1135: 1129: 1125: 1122: 1114: 1113: 1095: 1090: 1086: 1079: 1075: 1072: 1068: 1065: 1058: 1048: 1046: 1042: 1024: 1020: 1014: 1010: 1005: 999: 995: 992: 984: 983: 965: 960: 956: 949: 945: 942: 938: 935: 928: 925: 923: 919: 901: 897: 891: 887: 882: 876: 872: 869: 861: 860: 843: 839: 835: 831: 828: 824: 821: 814: 811: 809: 805: 786: 782: 778: 772: 768: 765: 757: 756: 753: 750: 748: 745: 743: 742:Numeric range 740: 738: 735: 734: 729: 727: 726:44.1 kHz 723: 708: 705: 700: 696: 687: 672: 669: 666: 657: 654: 637: 629: 625: 621: 615: 611: 608: 587: 579: 578: 561: 554:, denoted by 553: 549: 547: 513: 510: 487: 481: 476: 472: 460: 456: 440: 420: 414: 409: 405: 388: 384: 382: 364: 361: 358: 347: 331: 324: 321: 315: 312: 308: 284: 280: 274: 270: 259: 255: 250: 248: 230: 226: 217: 213: 197: 189: 186:has the unit 173: 165: 161: 157: 151: 147: 144: 121: 117: 108: 107: 106:sampling rate 98: 96: 80: 76: 67: 66: 65:sampling rate 49: 41: 37: 33: 19: 1325: 1285:(1): 51–83. 1282: 1278: 1265: 1246: 1240: 1164: 1044: 921: 808:cycle/sample 807: 751: 746: 741: 736: 721: 685: 658: 652: 575: 550: 546:cycle/sample 545: 458: 393: 380: 346:cycle/sample 345: 251: 246: 215: 187: 104: 102: 63: 35: 29: 747:Calculation 1343:Categories 1256:8170232384 1233:References 1354:Frequency 1295:CiteSeerX 1193:⋅ 1186:ω 1179:ω 1136:ω 1123:ω 1080:⋅ 950:⋅ 836:⋅ 622:ω 609:ω 588:ω 562:ω 40:frequency 34:(DSP), a 1221:See also 1189:′ 1126:′ 1076:′ 996:′ 946:′ 873:′ 832:′ 769:′ 737:Quantity 612:′ 148:′ 1287:Bibcode 1049:1000 × 752:Reverse 543:⁠ 531:⁠ 1317:426548 1315:  1297:  1253:  254:MATLAB 1313:S2CID 1275:(PDF) 709:44100 453:(see 1251:ISBN 1045:bins 459:bins 1305:doi 686:kHz 348:to 218:), 30:In 1345:: 1311:. 1303:. 1293:. 1283:66 1281:. 1277:. 688:, 656:. 548:. 249:. 212:Hz 68:, 1333:. 1319:. 1307:: 1289:: 1259:. 1201:s 1197:f 1182:= 1144:s 1140:f 1130:= 1096:N 1091:s 1087:f 1073:f 1069:= 1066:f 1055:N 1051:N 1025:N 1021:/ 1015:s 1011:f 1006:f 1000:= 993:f 966:2 961:s 957:f 943:f 939:= 936:f 902:2 898:/ 892:s 888:f 883:f 877:= 870:f 844:s 840:f 829:f 825:= 822:f 787:s 783:f 779:f 773:= 766:f 706:= 701:s 697:f 673:1 670:= 667:f 638:, 630:s 626:f 616:= 540:N 537:/ 534:1 514:2 511:N 488:. 482:N 477:s 473:f 441:N 421:, 415:N 410:s 406:f 368:] 365:1 362:, 359:0 356:[ 332:] 325:2 322:1 316:, 313:0 309:[ 288:) 285:2 281:/ 275:s 271:f 267:( 231:s 227:f 214:( 198:f 174:, 166:s 162:f 158:f 152:= 145:f 122:s 118:f 109:( 81:s 77:f 50:f 42:( 20:)

Index

Normalized frequency (digital signal processing)
digital signal processing
frequency
sampling rate
sampling rate
Hz
MATLAB
Nyquist frequency

§ Sampling the DTFT
Angular frequency
radians per second
44.1 kHz
Prototype filter
ISBN
8170232384
"On the use of Windows for Harmonic Analysis with the Discrete Fourier Transform"
Bibcode
1978IEEEP..66...51H
CiteSeerX
10.1.1.649.9880
doi
10.1109/PROC.1978.10837
S2CID
426548
https://www.statlect.com/matrix-algebra/discrete-Fourier-transform-frequencies
Categories
Digital signal processing
Frequency

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