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  2. Code generation (compiler) - Wikipedia

    en.wikipedia.org/wiki/Code_generation_(compiler)

    The input to the code generator typically consists of a parse tree or an abstract syntax tree. [1] The tree is converted into a linear sequence of instructions, usually in an intermediate language such as three-address code. Further stages of compilation may or may not be referred to as "code generation", depending on whether they involve a significant change in the representation of the ...

  3. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    Convolutional codes are often characterized by the base code rate and the depth (or memory) of the encoder . The base code rate is typically given as , where n is the raw input data rate and k is the data rate of output channel encoded stream. n is less than k because channel coding inserts redundancy in the input bits.

  4. Reed–Muller code - Wikipedia

    en.wikipedia.org/wiki/Reed–Muller_code

    Reed–Muller codes are linear block codes that are locally testable, locally decodable, and list decodable. These properties make them particularly useful in the design of probabilistically checkable proofs . Traditional Reed–Muller codes are binary codes, which means that messages and codewords are binary strings.

  5. Pseudorandom noise - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_noise

    A pseudo-noise code ( PN code) or pseudo-random-noise code ( PRN code) is one that has a spectrum similar to a random sequence of bits but is deterministically generated. The most commonly used sequences in direct-sequence spread spectrum systems are maximal length sequences, Gold codes, Kasami codes, and Barker codes. [4]

  6. Reed–Solomon error correction - Wikipedia

    en.wikipedia.org/wiki/Reed–Solomon_error...

    function [decoded, error_pos, error_mag, g, S] = rsDecoder( encoded, m, prim_poly, n, k) % RSDECODER Decode a Reed-Solomon encoded message % Example: % [dec, ~, ~, ~, ~] = rsDecoder(enc_msg, 8, 301, 12, numel(msg)) max_errors = floor((n - k) / 2); orig_vals = encoded.x; % Initialize the error vector errors = zeros(1, n); g = []; S = []; % Get ...

  7. California to tap generative AI tools to increase services ...

    www.aol.com/news/california-tap-generative-ai...

    The state is partnering with five companies to create generative AI tools using technologies developed by tech giants such as Microsoft-backed OpenAI and Google-backed Anthropic that would ...