Title :
Huffman coding of a PCM-quantized speech signal
Author :
Demirhan, Mahmut Esat ; Arioz, Umut
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, Gazi Univ., Ankara, Turkey
Abstract :
Huffman coding technique, which is often used in image processing problems, operates on the symbols that are constructed based on zero numbers of the DCT-transformed and quantized images. In this algorithm, probabilities of the symbols are calculated and codewords are produced for every single symbol. Highest probable symbols are represented in less number of bits. Hence, total number of bits transmitted is minimized. Similarly, it is possible to compress a speech signal that is primarily digitized. In this study, bandwidth change is investigated for a waveform-coding quantized speech signal compressed with Huffman coding technique.
Keywords :
Huffman codes; data compression; discrete cosine transforms; pulse code modulation; speech coding; DCT-transformed image; Huffman coding technique; PCM-quantized speech signal; bandwidth change; image processing problem; quantized images; speech signal compression; symbol probability; waveform-coding quantized speech signal; Discrete cosine transforms; Huffman coding; Image coding; MONOS devices; Phase change materials; Speech; Speech coding; entropy coding; huffman coding; speech coding; speech compression;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130379