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Pyramid vector quantizer shape search

A vector quantizer, vector quantization technology, used in instruments, electrical components, speech analysis, etc.

Active Publication Date: 2016-03-23
TELEFON AB LM ERICSSON (PUBL)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] A problem associated with structured PVQ-shape quantization is finding the best possible quantization vector with a reasonable degree of complexity

Method used

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  • Pyramid vector quantizer shape search
  • Pyramid vector quantizer shape search
  • Pyramid vector quantizer shape search

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Embodiment approach

[0191] The methods and techniques described above may be implemented in an encoder or codec, which may be included in, for example, a communication device.

[0192] Encoder, Figures 11a to 11c

[0193] exist Figure 11a An example embodiment of an encoder is shown in overview in . The encoder may be a media encoder configured to encode audio and / or video signals. Encoder 1100 is configured to perform the above reference Figure 1 to Figure 5 Any one of at least one of the described method embodiments. The encoder 1100 is associated with the same technical features, purposes and advantages of the foregoing method embodiments. In some implementations, the encoder is associated with memory and / or complexity constraints, such as when the encoder is configured as a DSP with fixed precision. The encoder will be briefly described to avoid unnecessary repetition.

[0194] An encoder may be implemented and / or described as follows:

[0195] Encoder 1100 is configured for pyra...

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Abstract

An encoder and a method therein for Pyramid Vector Quantizer, PVQ, shape search, the PVQ taking a target vector x as input and deriving a vector y by iteratively adding unit pulses in an inner dimension search loop. The method comprises, before entering a next inner dimension search loop for unit pulse addition, determining, based on the maximum pulse amplitude, maxamp y, of a current vector y, whether more than a current bit word length is needed to represent enloop y, in a lossless manner in the upcoming inner dimension loop. The variable enloop y is related to an accumulated energy of the vector y. The performing of this method enables the encoder to keep the complexity of the search at a reasonable level. For example, it enables the encoder to apply an increased precision loop only when it may be needed, by analyzing whether the "worst case scenario" in the upcoming inner loop would require an inner loop with a higher precision than the one currently used.

Description

technical field [0001] This disclosure generally relates to vector quantization (VQ) performed by an encoder. Background technique [0002] Unconstrained vector quantization is known to be the optimal quantization method for group samples (ie, vectors) of a certain length. However, the implementation of unconstrained vector quantization requires high demands on complexity and memory capacity. The desire to be able to implement vector quantization also with memory and search complexity constraints has led to the development of so called structured vector quantizers. Different structures give different trade-offs in search complexity and memory requirements. One such method is the so-called gain-shape vector quantization, where the target vector t is represented using a shape vector x and a gain value G: [0003] x = t G (equation 0) [0004] The concept of gain-shape vector quantization lies in quantizing p...

Claims

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Application Information

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IPC IPC(8): G10L19/038
CPCG10L19/038H03M7/3082G10L2019/0013G10L19/0017G10L19/167G10L19/032G10L19/10G10L19/00G10L19/002
Inventor 乔纳斯·斯韦德贝里
Owner TELEFON AB LM ERICSSON (PUBL)
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