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Time to Frequency Mapping Part II: The MDCT

  • Marina Bosi
  • Richard E. Goldberg
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 721)

Abstract

The PQMF solution to developing near-perfect reconstruction filter banks (see Chapter 4) was extremely important. Another approach to the time to frequency mapping of audio signals is historically connected to the development of transform coding. In this approach, block transform methods were used to take a block of sampled data and transform it into a different representation. For example, K data samples in the time domain could be transformed into K data samples in the frequency domain using the Discrete Fourier Transform, DFT. Moreover, exceedingly fast algorithms such as the Fast Fourier Transform, FFT, were developed for carrying out these transforms for large block sizes. Researchers discovered early on that they had to be very careful about how blocks of samples are analyzed/synthesized due to edge effects across blocks. This led to active research into what type of smooth windows and overlapping of data should be used to not distort the frequency content of the data. This line of research focused on windows, transforms, and overlap-and-add techniques of coding.

Keywords

Filter Bank Main Lobe Perfect Reconstruction Rectangular Window Short Block 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Marina Bosi
    • 1
  • Richard E. Goldberg
    • 2
  1. 1.Stanford UniversityUSA
  2. 2.The Brattle GroupUSA

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