Data compression for source coding

  • How does dictionary coding compression work?

    In dictionary compression, variable length substrings are replaced by short, possibly even fixed length codewords.
    Compression is achieved by replacing long strings with shorter codewords.
    The general scheme is as follows: The dictionary D is a collection of strings, often called phrases..

  • What are the coding requirements for compression techniques?

    The basic coding requirements for compression techniques are storage, throughput and interaction.
    Multimedia elements require much more space than text element, for example one second of uncompressed CD quality stereo audio is 176400 bytes and a true color full screen image requires 921600 bytes..

What is data compression?

Data compression is often referred to as coding, where coding is a very general term encompassing any special representation of data which satisfies a given need

Information theory is defined to be the study of efficient coding and its consequences, in the form of speed of transmission and probability of error [Ingels 1971]

What is source coding?

In the context of data transmission, it is called source coding; encoding done at the source of the data before it is stored or transmitted

Source coding should not be confused with channel coding, for error detection and correction or line coding, the means for mapping data onto a signal

In signal processing, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

Data compression provides a coding scheme at each end of a transmission link that allows characters to be removed from the frames of data at the sending side of the link and then replaced correctly at the receiving side. Because the condensed frames take up less bandwidth, we can transmit greater volumes at a time.Source coding is a mapping from (a sequence of) symbols from an information source to a sequence of alphabet symbols (usually bits) such that the source symbols can be exactly recovered from the binary bits (lossless source coding) or recovered within some distortion (lossy source coding). This is the concept behind data compression.

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