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Dictionary expression method and device in sparse model

A sparse model and dictionary technology, applied in the field of signal processing, can solve the problems of sparse coding without category information, without semantic meaning, and poor interpretability

Active Publication Date: 2014-10-15
铜陵汇恒电子科技有限公司
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Problems solved by technology

However, since the primitives in the continuous dictionary do not belong to the sample set, they are poorly interpretable and have no semantics; the sparse coding obtained on the continuous dictionary does not have clear category information

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  • Dictionary expression method and device in sparse model
  • Dictionary expression method and device in sparse model
  • Dictionary expression method and device in sparse model

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] The representation method of dictionary in a kind of sparse model that the present invention provides, refer to figure 1 As shown, it specifically includes the following processes:

[0058] 101. The electronic device collects a signal sample according to the received signal, and establishes a sparse model based on the data distribution characteristics of the signal sample.

[0059] Among them, the sparse model is specifically expressed as: ...

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Abstract

The invention provides a dictionary expression method and a device in a sparse model, relating to the signal processing field, reducing the reconstruction errors through utilizing the processing of solution of the discrete dictionary and obtaining the clear sample classification information through the solution process. The dictionary expression method comprises steps of collecting signal samples according the received signals, establishing a sparse model according to the data distribution characteristics of the data sample, obtaining a sparse code of the signal through calculating the sparse model according to the signal sample, iterating the sparse code into the sparse model to get a discrete dictionary, obtaining at least one sample subset of the signal sample through the processing of circulated iterating of the discrete dictionary, stopping the circulated iterating until the judgment condition is satisfied, performing statistics on at least one signal sample to constitute a new signal, and outputting new signals obtained through statistics of the sample subset. The embodiment of the invention is applied to the digital signal processing and image processing technology.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a representation method and device for a dictionary in a sparse model. Background technique [0002] In the development of signal technology, traditional signal processing methods are faced with a large amount of data storage and data transmission problems. For the problem of processing a large amount of data storage and data transmission, with the introduction of compressed sensing theory, it is much lower than traditional Nyquist sampling. The signal is processed in a high-efficiency way, among which, compressed sensing is a theory of acquiring and reconstructing a signal on a suitable over-complete primitive set. Here, the input signal can be accurately reconstructed with only a few primitives, so the reconstructed signal can be sparsely coded on the overcomplete primitive set. By obtaining the sparse code, the process of generating an overcomplete dictionary from the signal s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 王宇张宇王栋唐胜
Owner 铜陵汇恒电子科技有限公司
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