Analysis of audio signal using integer MDCT with Kaiser Bessel Derived window

The Integer Modififled Discrete Cosine Transform is widely used in Audio Coding Algorithms. In this paper, we discuss about the integer approximation of the lapped transform, called Integer MDCT, which is evolved from the MDCT by means of the rounding operations or lifting scheme. This method inherits most of the properties of MDCT and provides good spectral representation and perfect invertibility or reconstruction property. The purpose of this work is to analyse the audio signal and to overcome the TDAC problem. The audio signal is analysed by means of the window functions, since the audio signal does not remain stationary for more than 20ms. Because of the perfect reconstruction property, Kaiser Bessel Derived window function is used

[1]  Soontorn Oraintara,et al.  Lossless Audio Coding Using the IntMDCT and Rounding Error Shaping , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[2]  그렌트 앨렌 데이비드손,et al.  Adaptive hybrid transform for signal analysis and synthesis , 2005 .

[3]  Gaël Richard,et al.  Union of MDCT Bases for Audio Coding , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  Ruihua Ma,et al.  Integer fast modified cosine transform , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[5]  Vladimir Britanak,et al.  Fast computational structures for an efficient implementation of the complete TDAC analysis/synthesis MDCT/MDST filter banks , 2009, Signal Process..

[6]  Awaji Island,et al.  LOSSLESS AUDIO COMPRESSION USING INTEGER MODIFIED DISCRETE COSINE TRANSFORM , 2003 .

[7]  Ralf Geiger,et al.  Audio Coding based on Integer Transforms , 2001 .

[8]  Yuriy A. Reznik,et al.  Efficient implementation of a class of MDCT/IMDCT filterbanks for speech and audio coding applications , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Jin Li Reversible FFT and MDCT via matrix lifting , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[10]  Susanto Rahardja,et al.  On Integer MDCT for Perceptual Audio Coding , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[11]  K.R. Rao,et al.  Improved lossless audio coding using the noise-shaped IntMDCT , 2004, 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004..

[12]  Weibei Dou,et al.  MDCT Sinusoidal Analysis for Audio Signals Analysis and Processing , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[13]  John Princen,et al.  Analysis/Synthesis filter bank design based on time domain aliasing cancellation , 1986, IEEE Trans. Acoust. Speech Signal Process..

[14]  Susanto Rahardja,et al.  A fast algorithm of integer MDCT for lossless audio coding , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[15]  Gaël Richard,et al.  Audio Signal Representations for Indexing in the Transform Domain , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[16]  Susanto Rahardja,et al.  A scalable lossy to lossless audio coder for MPEG-4 lossless audio coding , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[17]  Joebert S. Jacaba AUDIO COMPRESSION USING MODIFIED DISCRETE COSINE TRANSFORM: THE MP3 CODING STANDARD , 2001 .