By Chris Kyriakakis, and C.-C. Jay Kuo Dai Tracy Yang
This necessary monograph addresses the explicit wishes of audio-engineering scholars and researchers who're both studying concerning the subject or utilizing it as a reference e-book on multichannel audio compression. This booklet covers a variety of wisdom on perceptual audio coding, from simple electronic sign processing and information compression thoughts to complicated audio coding criteria and innovate coding instruments. it's the in simple terms e-book available to buy that exclusively specializes in the foundations of high quality audio codec layout for multichannel sound assets. This ebook comprises 3 elements. the 1st half covers the fundamental issues on audio compression, corresponding to quantization, entropy coding, psychoacoustic version, and sound caliber review. the second one a part of the e-book highlights the present such a lot universal low-bit-rate high-performance audio coding standards—MPEG-4 audio. extra space is given to the audio criteria which are able to helping multichannel indications, that's, MPEG boost audio coding (AAC), together with the unique MPEG-2 AAC expertise, extra MPEG-4 toolsets, and the latest aacPlus common. The 3rd a part of this publication introduces numerous innovate multichannel audio coding instruments, which were validated to extra enhance the coding functionality and extend the on hand functionalities of MPEG AAC, and is superior for graduate scholars and researchers within the complicated point.
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Additional resources for High-Fidelity Multichannel Audio Coding (Second Edition) (EURASIP Book Series on Signal Processing & Communications)
Sample text
7. 8. 9. 10. 47 High = 5000 + (9999 − 5000 + 1) × 4/10 − 1 = 6999. Shift 6 out, and update variables Low = 0000, High = 9999, and Number = 0515. Index = [(0515 − 0 + 1) × 10 − 1]/(9999 − 0 + 1) = 0. ’ Low = 0 + (9999 − 0 + 1) × 0/10 = 0000. High = 0 + (9999 − 0 + 1) × 1/10 − 1 = 0999. Shift 0 out, and update variables Low = 0000, High = 9999, and Number = 5155. Index = [(5155 − 0 + 1) × 10 − 1]/(9999 − 0 + 1) = 5. ’ Low = 0 + (9999 − 0 + 1) × 5/10 = 5000. High = 0 + (9999 − 0 + 1) × 10/10 − 1 = 9999.
These names come from the fact that G usually has a small slope for large amplitude inputs and therefore compresses (reduces the spread) large amplitude values while G−1 reverses this process and expands the large amplitudes. Combining the words “compressor” and “expandor,” we get the name compandor. One of the most important applications of this structure can be found in digital transmission of speech signals, where the compandor is implemented by simple diode resistor circuits. In digital speech telephony, two modified logarithmic compressor functions, the A-law and the μ-law, are widely adopted.
Low = 0 + (9999 − 0 + 1) × 0/10 = 0000. High = 0 + (9999 − 0 + 1) × 1/10 − 1 = 0999. Shift 0 out, and update variables Low = 0000, High = 9999, and Number = 6051. 3. Index = [(6051 − 0 + 1) × 10 − 1]/(9999 − 0 + 1) = 6. ’ Low = 0 + (9999 − 0 + 1) × 5/10 = 5000. High = 0 + (9999 − 0 + 1) × 10/10 − 1 = 9999. 4. Index = [(6051 − 5000 + 1) × 10 − 1]/(9999 − 5000 + 1) = 2. ’ Low = 5000 + (9999 − 5000 + 1) × 2/10 = 6000. com/dp/9775945240 Arithmetic coding 5. 6. 7. 8. 9. 10. 47 High = 5000 + (9999 − 5000 + 1) × 4/10 − 1 = 6999.