By Jayaraman J. Thiagarajan and Andreas Spanias

The MPEG-1 Layer III (MP3) set of rules is without doubt one of the so much winning audio codecs for client audio garage and for move and playback of tune on electronic audio avid gamers. The MP3 compression regular besides the AAC (Advanced Audio Coding) set of rules are linked to the main winning track gamers of the decade. This ebook describes the basics and the MATLAB implementation information of the MP3 set of rules. a number of of the tedious methods in MP3 are supported by way of demonstrations utilizing MATLAB software program. The booklet provides the theoretical recommendations and algorithms utilized in the MP3 common. The implementation information and simulations with MATLAB supplement the theoretical ideas. The broad checklist of references permits the reader to accomplish a extra distinctive learn on particular points of the set of rules and achieve publicity to developments in perceptual coding. desk of Contents: advent / research Subband clear out financial institution / Psychoacoustic version II / MDCT / Bit Allocation, Quantization and Coding / Decoder

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**Extra info for Analysis of the MPEG-1Layer III (MP3) Algorithm Using MATLAB **

**Sample text**

12 (c) illustrates the SMR in the scalefactor bands for the case when a long window is used. 8 shows the window switching and threshold computation for the case when long blocks are used. Similar steps can be carried out to perform the window switching and threshold computation for the case when short windows are to be used. Thus, the threshold calculation partitions are converted to codec partitions (scale-factor bands) and the SMR values computed are forwarded to the bit/noise allocation algorithm.

A Hanning window is applied to the audio data, prior to the Fourier transformation, to reduce the edge effects of the transform window. The size of an audio frame in the MPEG-1 algorithm is 1152 samples and the size of the analysis window in the case of long windows is 1024 samples [89]. It can be easily seen that the analysis window cannot cover the frame completely. Hence, Layer III performs two psychoacoustic computations per frame. The first computation deals with the first half of the 1152 samples centered in the analysis window and the other computation deals with the second half.

Perceptual entropy indicates the average minimum number of bits per frequency sample needed to encode a signal without introducing a perceptual difference with respect to the original signal. It gives a lower bound estimate for the perceptual coding based on the computed mask threshold. Perceptual Entropy can be defined as, Zmax PE = − cbwidth(b). 24) where cbwidth(b) is the width of the calculated threshold partition and eb(b) is the energy in the threshold partition. 7: MATLAB Code for pre-echo detection and calculation of PE.