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variable-width encodings, is a subset of multibyte encodings. These use more complex encoding and decoding logic to efficiently represent large character sets while keeping the representations of more commonly used characters shorter or maintaining backward compatibility properties. This group includes
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must be represented with multibyte encodings. Early multibyte encodings were fixed-length, meaning that although each character was represented by more than one byte, all characters used the same number of bytes ("word length"), making them suitable for decoding with a lookup table. The final group,
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Character encodings are representations of textual data. A given character encoding may be associated with a specific character set (the collection of characters which it can represent), though some character sets have multiple character encodings and vice versa. Character encodings may be broadly
813:, etc. Meanings were chosen to fit perceived needs: commercial negotiations, military terms for military codes, diplomatic terms for diplomatic codes, any and all of the preceding for espionage codes. Codebooks and codebook publishers proliferated, including one run as a front for the American 1238:
Occasionally, a code word achieves an independent existence (and meaning) while the original equivalent phrase is forgotten or at least no longer has the precise meaning attributed to the code word. For example, '30' was widely used in
1083:) - a basic perceptual process of interpreting incoming stimuli; technically speaking, it is a complex, multi-stage process of converting relatively objective sensory input (e.g., light, sound) into a subjectively meaningful experience. 206:, to communicate what they thought, saw, heard, or felt to others. But speech limits the range of communication to the distance a voice can carry and limits the audience to those present when the speech is uttered. The invention of 649:
is the most known algorithm for deriving prefix codes. Prefix codes are widely referred to as "Huffman codes" even when the code was not produced by a Huffman algorithm. Other examples of prefix codes are
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characterizes the sets of codeword lengths that are possible in a prefix code. Virtually any uniquely decodable one-to-many code, not necessarily a prefix one, must satisfy Kraft's inequality.
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strings, which may be in some other target alphabet. An extension of the code for representing sequences of symbols over the source alphabet is obtained by concatenating the encoded strings.
436:. Using the extension of the code, the encoded string 0011001 can be grouped into codewords as 0 011 0 01, and these in turn can be decoded to the sequence of source symbols 492: 255:
encodes parts of the message, typically individual letters, and numbers. Another person standing a great distance away can interpret the flags and reproduce the words sent.
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of such code words give us an encoded string. Variable-length codes are especially useful when clear text characters have different probabilities; see also
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that encoded complete phrases into single mouths (commonly five-minute groups) were developed, so that telegraphers became conversant with such "words" as
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are similarly used on railways but are usually national, so the same code can be used for different stations if they are in different countries.
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of formal language A informal language B is a method of representing all terms (e.g. programs or descriptions) of language A using language B.
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between the First and Second World Wars. The purpose of most of these codes was to save on cable costs. The use of data coding for
302: 447:, the precise mathematical definition of this concept is as follows: let S and T be two finite sets, called the source and target 930:. A sequence of codons results in a corresponding sequence of amino acids that form a protein molecule; a type of codon called a 236:
is the reverse process, converting code symbols back into a form that the recipient understands, such as English or/and Spanish.
860:(also called variable-length) encodings. The earliest character encodings were single-byte, the best-known example of which is 691:
Codes may also be used to represent data in a way more resistant to errors in transmission or storage. This so-called
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grouped according to the number of bytes required to represent a single character: there are single-byte encodings,
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codes can be used for a financial discount or rebate when purchasing a product from a (usual internet) retailer.
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are used for different uses: to mark some moments of the day, to command the infantry on the battlefield, etc.
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in military, diplomacy, business, etc.) to trivial (romance, games) can be any kind of imaginative encoding:
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works by including carefully crafted redundancy with the stored (or transmitted) data. Examples include
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to tag the structure and other features of a text to facilitate processing by computers. (See also
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organisms contain genetic material that is used to control their function and development. This is
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messages were the state of the art in rapid long-distance communication, elaborate systems of
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or that of the trashcans devoted to specific types of garbage (paper, glass, organic, etc.).
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is a code with the "prefix property": there is no valid code word in the system that is a
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Before giving a mathematically precise definition, this is a brief example. The mapping
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where more-frequently used characters have shorter representations. Techniques such as
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In this section, we consider codes that encode each source (clear text) character by a
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Codes and Abbreviations for the Use of the International Telecommunication Services
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to compress large data files into a more compact form for storage or transmission.
822: 810: 700: 631: 274: 183: 42: 1418:(2nd ed.). Geneva, Switzerland: International Telecommunication Union. 1963. 1182:, methods in communication theory for decoding codewords sent over a noisy channel 115: 1318: 1276: 1146: 1136: 1102: 1059:
Secret codes intended to obscure the real messages, ranging from serious (mainly
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character set; UTF-8 is the most common encoding of text media on the Internet.
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Proceedings of the National Academy of Sciences of the United States of America
1261: 1218: 1087: 1033: 979: 963: 869: 853: 830: 646: 495: 252: 248: 240: 195: 41:, terms beginning with "Code#" redirect here. For the EPs by Ladies' Code, see 1052:
were once common for ensuring the confidentiality of communications, although
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One reason for coding is to enable communication in places where ordinary
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System of rules to convert information into another form or representation
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to decipher print patterns and translate them into the sounds of language
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Specific games have their own code systems to record the matches, e.g.
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are three-letter codes used to designate airports and used for
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and abbreviations can be considered codes, and in a sense, all
1140: 1090:- a specific encoding format for converting a specific type of 1053: 1005: 998: 806: 662: 214: 203: 243:, spoken or written, is difficult or impossible. For example, 1332:"Western Union "92 Code" & Wood's "Telegraphic Numerals"" 1256: 1164: 1130: 1026: 919: 874: 861: 825:
predates the computer era; an early example is the telegraph
356:{\displaystyle C=\{\,a\mapsto 0,b\mapsto 01,c\mapsto 011\,\}} 1244: 1156: 1091: 903: 659: 655: 218: 175: 1019:
for blind people, are based on movement or tactile codes.
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Communication systems for sensory impairments, such as
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International Air Transport Association airport codes
1149:- the process of converting sensations into memories. 587: 560: 536: 511: 460: 410: 372: 305: 1357:"Case for the genetic code as a triplet of triplets" 1194:, the use of analog circuit for decoding operations 1004:In military environments, specific sounds with the 735:. Error detecting codes can be optimised to detect 82:. Unsourced material may be challenged and removed. 600: 573: 542: 522: 486: 428: 396: 355: 1321:American Journalism Review. Retrieved 2012-07-03. 1139:- the way in which information is represented in 645:(start) of any other valid code word in the set. 1432: 789:("Are you trying to weasel out of our deal?"), 29:"Encoding" redirects here. For other uses, see 1121:transforms a signal into a code optimized for 926:can be translated into one of twenty possible 1243:to mean "end of story", and has been used in 864:. ASCII remains in use today, for example in 801:("Not clearly coded, repeat more clearly."). 423: 411: 391: 373: 366:is a code, whose source alphabet is the set 350: 312: 232:into symbols for communication or storage. 986:employed to mark the nominal value of the 1390: 1380: 674: 467: 349: 315: 142:Learn how and when to remove this message 1354: 793:("Why do you not answer my question?"), 611: 752:Codes in communication used for brevity 210:, which converted spoken language into 1433: 840: 774:, more quickly, and less expensively. 198:. An early example is an invention of 1205: 654:, the country and publisher parts of 404:and whose target alphabet is the set 277:, a code is usually considered as an 1170:Other examples of decoding include: 1075:Other examples of encoding include: 777:Codes can be used for brevity. When 251:held by a signaler or the arms of a 80:adding citations to reliable sources 51: 978:There are codes using colors, like 13: 1408: 1334:. Signal Corps Association. 1996. 1025:are the most common way to encode 910:is derived. This in turn produces 856:(also called wide) encodings, and 762:A cable code replaces words (e.g. 202:, which enabled a person, through 14: 1457: 1070: 934:signals the end of the sequence. 805:were chosen for various reasons: 498:mapping each symbol from S to a 166:is a system of rules to convert 56: 1338:from the original on 2012-05-09 1039: 950:was the basis for the proof of 918:in which a series of triplets ( 884: 833:are now used by computer-based 67:needs additional citations for 1324: 1304: 729:low-density parity-check codes 681:Error detection and correction 487:{\displaystyle C:\,S\to T^{*}} 471: 343: 331: 319: 190:, for communication through a 182:—into another form, sometimes 1: 1297: 1221:are codes for human thought. 937: 902:, which contains units named 247:, where the configuration of 958:. Here, the idea was to map 870:Chinese, Japanese and Korean 228:converts information from a 7: 1355:Chevance, Fabienne (2017). 1250: 1192:Digital-to-analog converter 1175:Decoding (computer science) 746: 713:Bose–Chaudhuri–Hochquenghem 10: 1464: 1197:Word decoding, the use of 888: 844: 755: 684: 678: 626:from some dictionary, and 615: 262: 36: 20: 1186:Digital signal processing 397:{\displaystyle \{a,b,c\}} 281:that uniquely represents 258: 31:Encoding (disambiguation) 1282:Quantum error correction 1129:, generally done with a 1107:Text Encoding Initiative 973: 797:("You're a skunk!"), or 725:algebraic geometry codes 1382:10.1073/pnas.1614896114 1046:history of cryptography 429:{\displaystyle \{0,1\}} 1247:to signify "the end". 1056:are now used instead. 956:incompleteness theorem 675:Error-correcting codes 665:3G Wireless Standard. 602: 575: 544: 524: 488: 445:formal language theory 430: 398: 357: 160:information processing 1101:Text encoding uses a 960:mathematical notation 877:, an encoding of the 693:error-correcting code 652:country calling codes 612:Variable-length codes 603: 601:{\displaystyle T^{*}} 576: 574:{\displaystyle S^{*}} 545: 525: 489: 431: 399: 358: 192:communication channel 47:Code 02 Pretty Pretty 24:Code (disambiguation) 1015:for deaf people and 988:electrical resistors 618:Variable-length code 585: 558: 534: 509: 458: 408: 370: 303: 76:improve this article 22:For other uses, see 1373:2017PNAS..114.4745C 1153:Television encoding 922:) of four possible 841:Character encodings 500:sequence of symbols 178:, sound, image, or 1317:2010-12-12 at the 1292:Universal language 1206:Codes and acronyms 1113:Semantics encoding 847:Character encoding 669:Kraft's inequality 598: 571: 540: 523:{\displaystyle C'} 520: 484: 451:, respectively. A 426: 394: 353: 271:information theory 1446:Signal processing 1367:(18): 4745–4750. 543:{\displaystyle C} 443:Using terms from 285:from some source 152: 151: 144: 126: 39:technical reasons 1453: 1427: 1404: 1394: 1384: 1347: 1346: 1344: 1343: 1328: 1322: 1308: 1272:Code (semiotics) 1180:Decoding methods 1119:Data compression 823:data compression 811:pronounceability 783:commercial codes 733:space–time codes 632:entropy encoding 607: 605: 604: 599: 597: 596: 580: 578: 577: 572: 570: 569: 549: 547: 546: 541: 529: 527: 526: 521: 519: 493: 491: 490: 485: 483: 482: 435: 433: 432: 427: 403: 401: 400: 395: 362: 360: 359: 354: 275:computer science 194:or storage in a 147: 140: 136: 133: 127: 125: 84: 60: 52: 43:Code 01 Bad Girl 34: 27: 1463: 1462: 1456: 1455: 1454: 1452: 1451: 1450: 1431: 1430: 1414: 1411: 1409:Further reading 1351: 1350: 1341: 1339: 1330: 1329: 1325: 1319:Wayback Machine 1312:"So Why Not 29" 1309: 1305: 1300: 1277:Equipment codes 1253: 1219:writing systems 1208: 1147:Memory encoding 1137:Neural encoding 1103:markup language 1073: 1042: 976: 968:Gödel numbering 940: 893: 887: 849: 843: 819:Herbert Yardley 760: 754: 749: 689: 683: 677: 620: 614: 592: 588: 586: 583: 582: 565: 561: 559: 556: 555: 535: 532: 531: 512: 510: 507: 506: 478: 474: 459: 456: 455: 409: 406: 405: 371: 368: 367: 304: 301: 300: 267: 261: 253:semaphore tower 224:The process of 148: 137: 131: 128: 85: 83: 73: 61: 50: 35: 28: 21: 19: 12: 11: 5: 1461: 1460: 1449: 1448: 1443: 1429: 1428: 1410: 1407: 1406: 1405: 1349: 1348: 1323: 1310:Kogan, Hadass 1302: 1301: 1299: 1296: 1295: 1294: 1289: 1284: 1279: 1274: 1269: 1264: 1262:Asemic writing 1259: 1252: 1249: 1245:other contexts 1207: 1204: 1203: 1202: 1195: 1189: 1183: 1177: 1168: 1167: 1150: 1144: 1134: 1116: 1110: 1099: 1088:content format 1084: 1072: 1071:Other examples 1069: 1041: 1038: 1034:chess notation 1023:Musical scores 980:traffic lights 975: 972: 964:natural number 939: 936: 889:Main article: 886: 883: 858:variable-width 845:Main article: 842: 839: 831:Huffman coding 756:Main article: 753: 750: 748: 745: 709:Walsh–Hadamard 679:Main article: 676: 673: 647:Huffman coding 616:Main article: 613: 610: 595: 591: 568: 564: 539: 518: 515: 496:total function 481: 477: 473: 470: 466: 463: 425: 422: 419: 416: 413: 393: 390: 387: 384: 381: 378: 375: 364: 363: 352: 348: 345: 342: 339: 336: 333: 330: 327: 324: 321: 318: 314: 311: 308: 263:Main article: 260: 257: 241:plain language 196:storage medium 156:communications 150: 149: 64: 62: 55: 17: 9: 6: 4: 3: 2: 1459: 1458: 1447: 1444: 1442: 1439: 1438: 1436: 1425: 1421: 1417: 1413: 1412: 1402: 1398: 1393: 1388: 1383: 1378: 1374: 1370: 1366: 1362: 1358: 1353: 1352: 1337: 1333: 1327: 1320: 1316: 1313: 1307: 1303: 1293: 1290: 1288: 1285: 1283: 1280: 1278: 1275: 1273: 1270: 1268: 1265: 1263: 1260: 1258: 1255: 1254: 1248: 1246: 1242: 1236: 1234: 1233:Station codes 1230: 1226: 1222: 1220: 1216: 1212: 1200: 1196: 1193: 1190: 1187: 1184: 1181: 1178: 1176: 1173: 1172: 1171: 1166: 1162: 1158: 1154: 1151: 1148: 1145: 1142: 1138: 1135: 1132: 1128: 1124: 1120: 1117: 1114: 1111: 1108: 1104: 1100: 1097: 1093: 1089: 1085: 1082: 1079:Encoding (in 1078: 1077: 1076: 1068: 1066: 1062: 1057: 1055: 1051: 1047: 1037: 1035: 1030: 1028: 1024: 1020: 1018: 1014: 1013:sign language 1009: 1007: 1002: 1000: 996: 991: 989: 985: 981: 971: 969: 965: 961: 957: 953: 949: 945: 935: 933: 929: 925: 921: 917: 913: 909: 908:messenger RNA 905: 901: 897: 892: 882: 880: 876: 871: 867: 863: 859: 855: 848: 838: 836: 832: 828: 824: 820: 816: 815:Black Chamber 812: 808: 804: 800: 796: 792: 788: 784: 780: 775: 773: 769: 765: 759: 744: 742: 741:random errors 738: 734: 730: 726: 722: 718: 714: 710: 706: 702: 698: 697:Hamming codes 694: 688: 682: 672: 670: 666: 664: 661: 657: 653: 648: 644: 640: 635: 633: 629: 628:concatenation 625: 619: 609: 593: 589: 566: 562: 553: 537: 516: 513: 505: 501: 497: 479: 475: 468: 464: 461: 454: 450: 446: 441: 439: 420: 417: 414: 388: 385: 382: 379: 376: 346: 340: 337: 334: 328: 325: 322: 316: 309: 306: 299: 298: 297: 294: 292: 288: 284: 280: 276: 272: 266: 265:Coding theory 256: 254: 250: 246: 242: 237: 235: 231: 227: 222: 220: 216: 213: 209: 205: 201: 197: 193: 189: 185: 181: 177: 173: 169: 165: 161: 157: 146: 143: 135: 124: 121: 117: 114: 110: 107: 103: 100: 96: 93: â€“  92: 88: 87:Find sources: 81: 77: 71: 70: 65:This article 63: 59: 54: 53: 48: 44: 40: 32: 25: 16: 1415: 1364: 1360: 1340:. Retrieved 1326: 1306: 1237: 1223: 1209: 1169: 1123:transmission 1074: 1058: 1043: 1040:Cryptography 1031: 1021: 1010: 1003: 992: 977: 941: 916:genetic code 894: 891:Genetic code 885:Genetic code 866:HTTP headers 850: 798: 794: 790: 786: 776: 767: 763: 761: 758:Brevity code 740: 737:burst errors 736: 701:Reed–Solomon 690: 667: 638: 636: 621: 552:homomorphism 503: 502:over T. The 452: 442: 437: 365: 295: 290: 268: 238: 233: 225: 223: 163: 153: 138: 129: 119: 112: 105: 98: 86: 74:Please help 69:verification 66: 15: 1096:information 944:mathematics 928:amino acids 924:nucleotides 906:from which 705:Reed–Muller 639:prefix code 170:—such as a 168:information 1435:Categories 1342:2012-07-03 1298:References 1241:journalism 984:color code 948:Gödel code 938:Gödel code 932:stop codon 914:through a 896:Biological 835:algorithms 827:Morse code 803:Code words 772:characters 687:Block code 685:See also: 132:March 2010 102:newspapers 1441:Encodings 1287:Semiotics 1215:languages 1081:cognition 1061:espionage 995:marketing 966:(using a 854:multibyte 779:telegraph 624:code word 594:∗ 567:∗ 504:extension 480:∗ 472:→ 449:alphabets 344:↦ 332:↦ 320:↦ 279:algorithm 245:semaphore 184:shortened 1424:13677884 1401:28416671 1336:Archived 1315:Archived 1251:See also 1229:bag tags 1211:Acronyms 912:proteins 747:Examples 517:′ 287:alphabet 234:Decoding 226:encoding 200:language 1392:5422812 1369:Bibcode 1199:phonics 1141:neurons 1127:storage 1065:flowers 1054:ciphers 1044:In the 1017:braille 879:Unicode 817:run by 768:invoice 550:, is a 291:encoded 283:symbols 215:symbols 208:writing 180:gesture 116:scholar 1422:  1399:  1389:  1267:Cipher 1006:cornet 999:coupon 982:, the 920:codons 807:length 731:, and 643:prefix 259:Theory 230:source 212:visual 204:speech 188:secret 172:letter 118:  111:  104:  97:  91:"Code" 89:  1257:ADDML 1165:SECAM 1131:codec 1050:codes 1027:music 974:Other 962:to a 952:Gödel 904:genes 875:UTF-8 862:ASCII 799:AYYLU 795:BMULD 791:LIOUY 787:BYOXO 739:, or 721:Golay 717:Turbo 663:WCDMA 656:ISBNs 581:into 494:is a 289:, by 249:flags 123:JSTOR 109:books 1420:OCLC 1397:PMID 1217:and 1163:and 1157:NTSC 1092:data 946:, a 764:ship 660:UMTS 453:code 438:acab 273:and 219:time 176:word 164:code 158:and 95:news 45:and 37:For 1387:PMC 1377:doi 1365:114 1161:PAL 1125:or 1094:to 993:In 970:). 954:'s 942:In 900:DNA 766:or 554:of 530:of 347:011 269:In 186:or 154:In 78:by 1437:: 1395:. 1385:. 1375:. 1363:. 1359:. 1231:. 1159:, 1155:: 1109:.) 1086:A 1048:, 1036:. 1029:. 997:, 809:, 743:. 727:, 723:, 719:, 715:, 711:, 707:, 703:, 699:, 637:A 634:. 440:. 335:01 221:. 174:, 162:, 1426:. 1403:. 1379:: 1371:: 1345:. 1143:. 1133:. 1098:. 590:T 563:S 538:C 514:C 476:T 469:S 465:: 462:C 424:} 421:1 418:, 415:0 412:{ 392:} 389:c 386:, 383:b 380:, 377:a 374:{ 351:} 341:c 338:, 329:b 326:, 323:0 317:a 313:{ 310:= 307:C 145:) 139:( 134:) 130:( 120:· 113:· 106:· 99:· 72:. 49:. 33:. 26:.

Index

Code (disambiguation)
Encoding (disambiguation)
technical reasons
Code 01 Bad Girl
Code 02 Pretty Pretty

verification
improve this article
adding citations to reliable sources
"Code"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
communications
information processing
information
letter
word
gesture
shortened
secret
communication channel
storage medium
language
speech
writing
visual

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