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Title of Thesis
APPLICATION OF SPATIAL FILTERS TO OPTICAL COMPUTING AND NEURAL NETWORKS |
Author(s)
S. Aftab Ahsan Rizvi |
Institute/University/Department Details
Department of Physics/ Quaid-i-Azam University, Islamabad |
Session
1993 |
Subject
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Number of Pages
155 |
Keywords (Extracted from title, table of contents and abstract of thesis)
spatial filters, optical computing, neural networks, neural network model, associative memory, pattern recognition, optical computer, holographic techniques, ternary logic, carry free algorithm, optical binary logic gates, modified signed digit algorithm |
Abstract Digital optical computing has gained a lot of interest because of its fascinating features such as highly parallel processing capability of data at ultra high speed. In this thesis, spatial filtering has been employed to design and experimentally implement the basic components of a proposed digital optical computer. An associative memory model, i.e., neural network model and its optical implementation using simple grating structures has been presented. The associative memory (filter) has been fabricated using optical and computer generated holographic techniques. These systems have the great potential towards solving fuzzy problems like pattern recognition in an optical computer. Moreover, application of spatial filtering technique for designing location addressable memory devices based on multiple-valued- logic has also been presented. The schemes have been experimentally implemented using grating structures. It is shown that the ternary logic is found more efficient when compared to the binary logic as it requires less number of digits to process a number. However, the schemes based on multiple-valued logic algorithms have limited parallelism because of the carry/borrow for each input data. A scheme for the optical processor based on carry free algorithm, i.e., modified signed digit using spatial filtering technique has also been presented. Two encoding procedures have been adopted which are polarization and grating structures.
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Chapter |
Title of the Chapters |
Page |
Size (KB) |
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| 1 |
0 |
Contents |
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 826.3 KB |
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| 2 |
1 |
Introduction |
1 |
 1514.08 KB |
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1.1 |
Architecture Of An Optical Computer |
4 |
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1.2 |
Spatial Filters And Nonolinear Filtering |
11 |
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1.3 |
Layout Of The Thesis |
15 |
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| 3 |
2 |
Optical Pattern Recognition Using Neural Network Models |
17 |
 1978.64 KB |
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2.1 |
Hopfield Model |
19 |
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2.2 |
Associatiy Memory Model/Formalism |
22 |
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2.3 |
Optical Implementation Using Structures Grating |
26 |
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2.4 |
Fabrication Of Filter (Associative Memory ) |
30 |
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2.5 |
Comparison Of The Proposed Optical Implementation Scheme With Other Schemes |
34 |
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2.6 |
Conclusions |
38 |
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| 4 |
3 |
Design Of Optical Processing Elements |
40 |
 1939.85 KB |
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3.1 |
Truth Tables For Multiple-Valued Logic |
41 |
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3.2 |
Optical Binary Logic Gates And Their Combinational Units |
45 |
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3.3 |
Optical Design Of Ternary Logic Gates, Half-Adder And –Subtractor |
58 |
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3.4 |
Conclusions |
68 |
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| 5 |
4 |
Optical Computing Based On Modified Signed Digit Algorithm |
71 |
 1678.11 KB |
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4.1 |
Modified Signed Digit Number System |
74 |
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4.2 |
MSD Logic Elements And Arithmetic Operations |
76 |
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4.3 |
Optical Implementation Of MSD Logic Elements Using Polarization Encoding |
85 |
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4.4 |
Optical Implementation Of The MSD Logic Elements Using Frequency Modulated Grating Structures |
89 |
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4.5 |
Optical Processor Using MSD Algorithm Based On Spatial Filtering Technique |
91 |
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4.6 |
Conclusions |
93 |
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| 6 |
5 |
Appendixes |
95 |
 4008.42 KB |
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5.1 |
References |
133 |
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