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Some older and today uncommon formats include BOO, BTOA, and USR encoding. Most of these encodings generate text containing only a subset of all ASCII printable characters: for example, the base64 encoding generates text that only contains upper case and lower case letters, (A–Z, a–z), numerals (0–9), and the "+", "/", and "=" symbols.
Because Base64 is a six-bit encoding, and because the decoded values are divided into 8-bit octets, every four characters of Base64-encoded text (4 sextets = 4 × 6 = 24 bits) represents three octets of unencoded text or data (3 octets = 3 × 8 = 24 bits). This means that when the length of the unencoded input is not a multiple of three, the ...
A six-bit character code is a character encoding designed for use on computers with word lengths a multiple of 6. Six bits can only encode 64 distinct characters, so these codes generally include only the upper-case letters, the numerals, some punctuation characters, and sometimes control characters.
The input to the bcrypt function is the password string (up to 72 bytes), a numeric cost, and a 16-byte (128-bit) salt value. The salt is typically a random value.
PEM format is the same as DER format but wrapped inside Base64 encoding and sandwiched in between ‑‑‑‑‑BEGIN PKCS7‑‑‑‑‑ and ‑‑‑‑‑END PKCS7‑‑‑‑‑. Windows uses the .p7b file name extension [ 6 ] for both these encodings.
Type 4 has a count field encoding the number of following items, followed by that many items. The items need not all be the same type; some programming languages call this a "tuple" rather than an "array". Alternatively, an indefinite-length encoding with a short count of 31 may be used. This continues until a "break" marker byte of 255.
uuencoding is a form of binary-to-text encoding that originated in the Unix programs uuencode and uudecode written by Mary Ann Horton at the University of California, Berkeley in 1980, [1] for encoding binary data for transmission in email systems.
As with ideal observer decoding, a convention must be agreed to for non-unique decoding. The maximum likelihood decoding problem can also be modeled as an integer programming problem. [1] The maximum likelihood decoding algorithm is an instance of the "marginalize a product function" problem which is solved by applying the generalized ...