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Low-complexity spectral analysis/synthesis using selectable time resolution

A spectrum analysis and time technology, applied in the field of signal processing, can solve the problems that the switching window cannot be completed instantaneously, the transition window is poor, and the delay is increased

Active Publication Date: 2010-11-03
TELEFON AB LM ERICSSON (PUBL)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The need for transition windows creates further disadvantages, namely increased delay due to the fact that switching windows cannot be done instantaneously, and also poor frequency localization properties of transition windows, which lead to a large reduction in coding gain

Method used

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  • Low-complexity spectral analysis/synthesis using selectable time resolution
  • Low-complexity spectral analysis/synthesis using selectable time resolution
  • Low-complexity spectral analysis/synthesis using selectable time resolution

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Embodiment Construction

[0065] Throughout the drawings, the same reference numerals will be used for corresponding or analogous elements.

[0066] In order to better understand the invention, it may be useful to start with a short introduction to transform coding and in particular transform coding based on so-called lapped transforms.

[0067] As mentioned earlier, transform codecs are usually based on time domain to frequency domain transforms such as DCT (Discrete Cosine Transform), lapped transforms such as Modified Discrete Cosine Transform (MDCT) or Modulated Latched Transform (MLT).

[0068] For example, the Modified Discrete Cosine Transform (MDCT) is a Fourier-related transform based on the Type IV Discrete Cosine Transform (DCT-IV), with the additional property that it is overlapped: it is designed to work on successive blocks of larger data sets implementation, where subsequent blocks are overlapped (so-called overlapping frames) so that the second half of one block coincides with the first...

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PUM

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Abstract

The signal processing is based on the c oncept of using a time-domain aliased (12, TDA) frame as a basis for time segmen tation (14) and spectral analysis (16), performing segmentation in time based on the time-domain aliased frame and performing spectral analysis based on the resulting time segments. The time resolution of the overall segmented time-to-frequenc y transform can thus be changed by simply adapting the time segmentation to ob tain a suitable number of time segments based on which spectral analysis is applied. The overall set of spectral coefficients, obtained for all the segments, provides a selectable time-frequency tiling of the original signal frame.

Description

technical field [0001] The present invention relates generally to signal processing such as signal compression and audio coding, and more particularly to audio coding and audio decoding and corresponding devices. Background technique [0002] An encoder is a device, circuit, or computer program that analyzes a signal, such as an audio signal, and outputs the signal in encoded form. The resulting signal is typically used for transmission, storage and / or encryption purposes. A decoder, on the other hand, is a device, circuit or computer program that is capable of inverting the operation of an encoder in that it receives an encoded signal and outputs a decoded signal. [0003] In most state-of-the-art encoders, such as audio encoders, each frame of the input signal is analyzed in the frequency domain. The results of this analysis are quantized and coded, and then transmitted or stored depending on the application. On the receiving side (or when using stored coded signals), a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/02
CPCG10L19/02G10L19/022
Inventor A·塔莱布
Owner TELEFON AB LM ERICSSON (PUBL)
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