Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Introduction to Digital Audio Coding and Standards
Introduction to Digital Audio Coding and Standards
Short communication: the fast DCT-IV/DST-IV computation via the MDCT
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Bilinear algorithms for discrete cosine transforms of prime lengths
Signal Processing - Signal processing in UWB communications
Design optimization of main-profile MPEG-2 AAC decoder
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
An MDCT Hardware Accelerator for MP3 Audio
SASP '08 Proceedings of the 2008 Symposium on Application Specific Processors
Mixed-radix algorithm for the computation of forward and inverse MDCTs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Embedded software optimization for MP3 decoder implemented on RISC core
IEEE Transactions on Consumer Electronics
Fractional zero-phase filtering based on the Riemann-Liouville integral
Signal Processing
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New fast computational structures identical for an efficient implementation of both the forward and backward modified discrete cosine transform (MDCT) in MPEG-1/2 Layer III (MP3) audio coding standard are described. They are based on a new proposed universal fast rotation-based MDCT computational structure [V. Britanak, New universal rotation-based fast computational structures for an efficient implementation of the DCT-IV/DST-IV and analysis/synthesis MDCT/MDST filter banks, Signal Processing 89 (11) (November 2009) 2213-2232]. New fast computational structures are derived in the form of a linear code and they are particularly suitable for high-performance programmable DSP processors. For the short audio block it is shown that our efficient MDCT implementation in MP3 can be modified to achieve the same minimal multiplicative complexity compared to that of Dai and Wagh [An MDCT hardware accelerator for MP3 audio, in: Proceedings of the IEEE Symposium on Application Specific Processors (SASP'2008), Anaheim, CA, June 2008, pp. 121-125].