Multiple technique entropy coding system and method
A system, method and computer program product having optimal matching to a known or measured probability distribution encodes data without the use of an excessively large lookup table. An encoder constructed according to the present invention uses two or more different encoding methods in combination. In one embodiment, Huffman coding by table lookup is combined with computational generation, such as by using an exponential Golomb equation. The most commonly occurring elements are looked up in a small Huffman table, while the remaining elements are coded with the equation. In another embodiment, data is encoded using two or more equations. In yet another embodiment, data is encoded using multiple tables in conjunction with one or more equations.
1. A method of compressing data, comprising:
encoding an incoming data. stream comprising at least one symbol using a combination of at least two coding techniques;
applying a first coding technique when the occurrence probability of the at least one symbol of the incoming data stream is greater than a predetermined threshold; and
applying a second coding technique, without applying the first coding technique, when the occurrence probability of the at least one symbol of the incoming data stream is not greater than the predetermined threshold.
2. The method of claim 1 , wherein the first coding techniques comprises a Huffman lookup table.
3. The method of claim 2 , wherein the second coding technique comprises a computational generation.
4. The method of claim 3 , wherein the computational generation is an exponential Golomb type.
5. The method of claim 1 wherein the at least two coding techniques comprise at least two computational generations to utilize different encoding equations.
6. The method of claim 1 , further comprising computing a magnitude of the at least one symbol.
7. The method of claim 1 further comprising encoding signed symbols and unsigned symbols.
8. A method of compressing data, comprising:
encoding an incoming data stream comprising at least one symbol using a combination of at least two coding techniques;
selectively applying one of the at least two coding techniques to encode the at least one symbol based on an algorithmic analysis of an occurrence probability of the at least one symbol; wherein the algorithmic analysis comprises computing a magnitude of the at least one symbol; and
wherein a symbol of the at least one symbol having a magnitude greater than a fixed constant is coded by the Huffman lookup table and another symbol of the at least one symbol having a magnitude not greater than the fixed constant is coded using the computational generation.
9. A method of compressing data, comprising:
encoding an incoming data stream comprising at least one symbol using a combination of at least two coding techniques;
selectively applying one of the at least two coding techniques to encode the at least one symbol based on an algorithmic analysis of an occurrence probability of the at least one symbol;
encoding signed symbols and unsigned symbols; and
incorporating a sign bit into the Huffman lookup table to encoded signed symbols without introducing an extra bit to an output bitstream.
10. A machine readable media embodying instructions, the instructions causing a machine to perform a method, the method comprising:
encoding an incoming data stream comprising at least one symbol using a combination of at least two coding techniques; and
applying a first coding technique when the occurrence probability of the at least one symbol of the incoming data stream is greater than a predetermined threshold; and
applying a second coding technique, without applying the first coding technique, when the occurrence probability of the at least one symbol of the incoming data stream is not greater than the predetermined threshold.
11. A system, comprising:
means for, encoding an incoming data stream comprising at least one symbol using a combination of at least two coding techniques; and
means for, applying a first coding technique when the occurrence probability of the at least one symbol of the incoming data stream is greater than a predetermined threshold; and
means for, applying a second coding technique, without applying the first coding technique, when the occurrence probability of the at least one symbol of the incoming data stream is not greater than the predetermined threshold.