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  2. Speech coding - Wikipedia

    en.wikipedia.org/wiki/Speech_coding

    Speech coding is an application of data compression to digital audio signals containing speech.Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.

  3. Name mangling - Wikipedia

    en.wikipedia.org/wiki/Name_mangling

    32-bit compilers emit, respectively: _f _g@4 @h@4 In the stdcall and fastcall mangling schemes, the function is encoded as _name@X and @name@X respectively, where X is the number of bytes, in decimal, of the argument(s) in the parameter list (including those passed in registers, for fastcall).

  4. Decoding methods - Wikipedia

    en.wikipedia.org/wiki/Decoding_methods

    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 ...

  5. Autokey cipher - Wikipedia

    en.wikipedia.org/wiki/Autokey_cipher

    However, examining the results can suggest locations of the key being properly aligned. In those cases, the resulting decrypted text is potentially part of a word. In this example, it is highly unlikely that dfl is the start of the original plaintext and so it is highly unlikely either that the first three letters of the key are THE. Examining ...

  6. Reed–Muller code - Wikipedia

    en.wikipedia.org/wiki/Reed–Muller_code

    The basic idea of majority logic decoding is to build several checksums for each received code word element. Since each of the different checksums must all have the same value (i.e. the value of the message word element weight), we can use a majority logic decoding to decipher the value of the message word element.

  7. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    The sliding application represents the 'convolution' of the encoder over the data, which gives rise to the term 'convolutional coding'. The sliding nature of the convolutional codes facilitates trellis decoding using a time-invariant trellis. Time invariant trellis decoding allows convolutional codes to be maximum-likelihood soft-decision ...

  8. Hard coding - Wikipedia

    en.wikipedia.org/wiki/Hard_coding

    Hard coding (also hard-coding or hardcoding) is the software development practice of embedding data directly into the source code of a program or other executable object, as opposed to obtaining the data from external sources or generating it at runtime.

  9. Source–message–channel–receiver model of communication

    en.wikipedia.org/wiki/Source–message–channel...

    Each of the four main components has several key attributes. Source and receiver share the same four attributes: communication skills, attitudes, knowledge, and social-cultural system. Communication skills determine how good the communicators are at encoding and decoding messages. Attitudes affect whether they like or dislike the topic and each ...