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Method and device for representing dictionary 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 semantics, and poor interpretability.

Active Publication Date: 2017-09-12
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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  • Method and device for representing dictionary in sparse model
  • Method and device for representing dictionary 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: when {d 1...

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Abstract

The embodiments of the present invention provide a method and device for representing a dictionary in a sparse model, which relate to the field of signal processing, reduce reconstruction errors by using a discrete dictionary solution process, and obtain clear sample category information through the solution process. The method includes: collecting signal samples according to the received signal, and establishing a sparse model according to the data distribution characteristics of the signal samples; calculating the sparse coding of the signal according to the signal samples; calculating the sparse coding of the signal; Iterating into the sparse model to calculate a discrete dictionary, obtaining at least one sample subset of the signal samples by cyclically iterating the discrete dictionary, until the predetermined judgment condition is met, the loop iteration is terminated, and the at least one The signal samples are counted to form a new signal; and the new signal obtained by counting the sample subset is output. Embodiments of the present invention are applied to digital signal processing and image processing technologies.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
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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