Pre-Grant Publication Number: 20100262423
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Prior Art Detail
Summary / Description
| Summary / Description | From the abstract:The statistical linear approximation (SLA) method is proposed as a novel way to approximate a nonlinear function by a linearized model. In the proposed method, an optimization criterion for approximation is defined in terms of statistical expectation. The SLA is applied to environment compensation where the speech contamination rule appears as a highly nonlinear function of the relevant variables. |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | IEEE SIGNAL PROCESSING LETTERS |
| Author | Nam Soo Kim |
| ISBN | |
| Page Range | 8-10 |
| Medium | Journal article |
| Publication Date * | January 1, 1998 |
| URL | |
Notes / To Do
| Notes | |
Excerpt
Excerpt In this letter, we presented the SLA method in order to
approximate a nonlinear function by a linear model. From
the recognition results, we could find that taking higher-order
terms in the Taylor series expansion into consideration enables
us to get more exact approximation. |
Relevance
Claims
1
Relevance
This article makes it seem as if the idea of using higher order VTS is not a novel idea, and has in fact been around for many years.
This article makes it seem as if the idea of using higher order VTS is not a novel idea, and has in fact been around for many years.
Claim Chart
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