.png){kind=icon}
Return
An analog programmable multidimensional radial basis function based classifier
.png){kind=icon}
PRE
AI
DOI：10.1109/TCSI.2007.905642.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A compact analog programmable multidimensional radial basis function (RBF)-based classifier is demonstrated. The probability distribution of each feature in the templates is modeled by a Gaussian function that is approximately realized by the bell-shaped transfer characteristics of a proposed floating-gate circuit, which we term a floating-gate bump circuit. The maximum likelihood, the mean, and the variance of the distribution are stored in floating-gate transistors and are independently programmable. By cascading these floating-gate bump circuits, the overall transfer characteristics approximate a multivariate Gaussian function with a diagonal covariance matrix. An array of these circuits constitute a compact multidimensional RBF-based classifier that can easily implement a Gaussian mixture model. When followed by a winner-take-all circuit, the RBF-based classifier forms an analog vector quantizer. We use receiver operating characteristic curves and equal error rate to evaluate the performance of our RBF-based classifier as well as a resultant analog vector quantizer. We show that the classifier performance is comparable to that of digital counterparts. The proposed approach can be at least two orders of magnitude more power efficient than the digital microprocessors at the same task.
Keywords:
analog classifier
bump circuit
floating-gate transistor
Gaussian-like analog circuit
radial basis function (RBF)
vector quantizer
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.2
Papers:
9.7K
Citations:
2.2W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveFormation of Ylides on Thermal Decomposition of P‐(α‐Alkoxycarbonylalkyl)triphenylphosphonium Salts
PREAI
ShareSave12-W $X$-Band MMIC HPA and Driver Amplifiers in InGaP-GaAs HBT Technology for Space SAR T/R Modules
PREAI
ShareSaveShareSaveShareSave
View more