Invention Grant
- Patent Title: Systems and methods for providing programmable analog classifiers
- Patent Title (中): 提供可编程模拟分类器的系统和方法
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Application No.: US12242306Application Date: 2008-09-30
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Publication No.: US08688763B2Publication Date: 2014-04-01
- Inventor: Sheng-Yu Peng , Paul E. Halser
- Applicant: Sheng-Yu Peng , Paul E. Halser
- Applicant Address: US GA Atlanta
- Assignee: Georgia Tech Research Corporation
- Current Assignee: Georgia Tech Research Corporation
- Current Assignee Address: US GA Atlanta
- Agency: Troutman Sanders LLP
- Agent Ryan A. Schneider, Esq.
- Main IPC: G06G7/00
- IPC: G06G7/00

Abstract:
The present invention describes systems and methods to provide programmable analog classifiers. An exemplary embodiment of the present invention provides an analog classifier circuit comprising a bump circuit enabled to store a template vector, wherein the template vector can model a probability distribution with exponential behavior. Furthermore, the bump circuit is enabled to generate an output corresponding to a comparison between an input vector received by the bump circuit and the template vector stored by the bump circuit. Additionally, the analog classifier circuit includes a variable gain amplifier in communication with the bump circuit, and the variable gain amplifier can be adjusted to modify the variance of the template vector.
Public/Granted literature
- US20100079188A1 SYSTEMS AND METHODS FOR PROVIDING PROGRAMMABLE ANALOG CLASSIFIERS Public/Granted day:2010-04-01
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