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Ho-Kashyap optical associative processors.

B Telfer, D P Casasent

|June 22, 2010

Summary

This summary is machine-generated.

The Ho-Kashyap associative processor offers superior storage capacity and handles linearly dependent data better than previous methods. This robust design improves noise performance and excels in applications like aircraft recognition.

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Area of Science:

Computer Science
Electrical Engineering
Artificial Intelligence

Background:

Traditional associative processors (APs) struggle with storing linearly dependent key vectors.
Existing APs exhibit limitations in storage capacity and noise performance.

Purpose of the Study:

To introduce a novel Ho-Kashyap (H-K) associative processor (AP) with enhanced storage capacity.
To improve the performance of APs, particularly with linearly dependent data and noise.
To evaluate the H-K AP's effectiveness in practical applications like aircraft recognition.

Main Methods:

Theoretical analysis of the H-K AP's storage capacity and data handling capabilities.
Monte Carlo simulations to validate performance and noise robustness.

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Comparative study against pseudoinverse and correlation APs.

Development of techniques for error detection and correction in AP outputs.

Main Results:

The H-K AP demonstrates significantly larger storage capacity compared to pseudoinverse and correlation APs.
Accurate storage and retrieval of linearly dependent key vectors are achieved, a key improvement over prior APs.
The proposed robust H-K AP shows enhanced noise performance.
The H-K AP outperforms the pseudoinverse AP in an aircraft recognition case study.
New methods for identifying unreliable output elements and error correction synthesis are developed.

Conclusions:

The Ho-Kashyap associative processor represents a significant advancement in AP technology, offering superior performance, especially for challenging datasets.
Its robustness and capacity make it suitable for optical implementations and demanding recognition tasks.
The developed error-handling techniques further enhance the reliability and applicability of the H-K AP.