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| 008 | 090414s2006 th uu|m rtt 0| a1eng d | ||
| 035 | _a.b12052644 | ||
| 099 | 9 | _aAIT Thesis no.ME-06-07 | |
| 100 | 0 | _aJessada Karnjana | |
| 245 | 1 | 0 | _aImplementation of low delay, low bit-rate audio compression for wireless digital audio system |
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_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2007 |
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_a100 p. : _bill. |
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| 490 | 1 |
_aThesis ; _vno. ME-06-07 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Microelectronics, School of Engineering and Technology | ||
| 502 | _aThesis (M.Eng.) - Asian Institute of Technology, 2006 | ||
| 520 | _aThe question to increase the compression rate while the reproduction quality to be still acceptable leads to the term of perceptual audio compression. Audio perceptual coding based on a psychoacoustic model which using to eliminate the irrelevant information. Psychoacoustic model is a mathematical model of human perceptual of sound. The goal of model is to develop functions that are related to hearing sensations of human auditory system. For real-time applications, e.g. wireless speaker, headphones, or internet telephony, these applications do not require high audio quality but require low coding delay. To achieve this fashion, I designed a system with low complexity to reduce the computational times but the quality does not much different from audio CD. I used MDCT filter banks as subband coding. The advantage of MDCT is its perfected reconstruction. For quantizing. I compare the coding performance both full-range and narrow-range. A full-range quantization gave poor dequantized signals compare to narrow-range quantization. But full-range is acceptable for a low bit-rate requirement. Adding Huffman coding after quantization improves compression ratio less than 5%. It depends on the nature of data to compress. Huffman coding is useless in the case of less identical data. Thus I designed the system to check the identical data before perform Huffman coding. This codec gave the average compression ratio about 2.71: I or 62.5%. The number of bits per sample reduced to 5.99 bits per sample b'om 16 hits per sample | ||
| 650 | 0 | _aPsychoacoustics | |
| 650 | 0 | _aAuditory perception | |
| 700 | 1 |
_aAfzulpurkar, Nitin V., _eChairperson |
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| 700 | 0 |
_aPasin Israsena, _eCo-chairperson |
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| 700 | 0 |
_aChumnarn Punyasai, _eExamination committee |
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_aThailand Graduate Institute of Science and Technology, _eScholarship donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. ME-06-07 |
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_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B11063 |
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