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Electrical and Computer Engineering

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Florida Institute of Technology

1997

Articles 1 - 10 of 10

Full-Text Articles in Engineering

Development Of The Base Station Transceiver Subsystem In The Cdma Mobile System, Dong-Wook Lee, Kisuk Yoo, Jin-Su Kim, Myoung Jin Kim, Jae-Hong Park Oct 1997

Development Of The Base Station Transceiver Subsystem In The Cdma Mobile System, Dong-Wook Lee, Kisuk Yoo, Jin-Su Kim, Myoung Jin Kim, Jae-Hong Park

Electrical Engineering and Computer Science Faculty Publications

The base station transceiver subsystem (BTS) of the CDMA Mobile System is interfaced to mobile stations over the air and to the wired network through a packet switched interconnection network. The potential benefits of CDMA technology are achieved when the transmitter and the receiver are properly designed and implemented. The physical layer of the air interface at the base station is implemented with the CDMA ASICs and control circuits in the channel card of the BTS. We present the design perspectives and structural illustration of the BTS. Base station modem ASICs and their control to implement the CDMA receiver, baseband …

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Stadium 501/Reliability Simulator For The Analysis Of Hot-Electron And Esd Induced Degradation In Non-Isothermal Device, Sungkwon Lee, Thomas J. Sanders Sep 1997

Stadium 501/Reliability Simulator For The Analysis Of Hot-Electron And Esd Induced Degradation In Non-Isothermal Device, Sungkwon Lee, Thomas J. Sanders

Electrical Engineering and Computer Science Faculty Publications

This paper addresses the integrated circuit industry needs for non-isothermal simulation in device reliability analysis, initial input factor sensitivity analysis and their software implementation. The key reliability issues are the hot-electron induced oxide damages and electro-static discharge (ESD) damages. The main purpose of this work is to provide a design aid tool to improve device reliability and performance. The reliability simulator developed in this work not only predicts designed device reliability, but also provides some information about the effect of manufacturing variations on reliability. This is accomplished by combining the statistical methodology with existing technology computer aided design (TCAD) tools. …

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Color Image Filters: The Vector Directional Approach, Konstantinos N. Kostas Plataniotis, Dimitrios Androutsos Sep 1997

Color Image Filters: The Vector Directional Approach, Konstantinos N. Kostas Plataniotis, Dimitrios Androutsos

Electrical Engineering and Computer Science Faculty Publications

Processing of color image data using directional information has received increased attention lately due to the introduction of the vector directional filters. These rank-ordered type filters utilize the direction of color vectors to enhance, restore and segment color images. First, the different vector directional filters already in use are presented, focusing on their similarities and differences and, second, new adaptive vector directional filters are introduced. Fuzzy as well as nearest neighbor structures are utilized to determine the weights in the proposed adaptive filters. Simulation studies involving color images are used to assess the performance of the different vector directional filters …

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Spectrally Sensitive Wavelet Analysis Of Multispectral Imagery For Object Detection, Samuel Peter Kozaitis, Ty Olmstead Aug 1997

Spectrally Sensitive Wavelet Analysis Of Multispectral Imagery For Object Detection, Samuel Peter Kozaitis, Ty Olmstead

Electrical Engineering and Computer Science Faculty Publications

We used a 3D wavelet denoising method to reduce noise from multispectral imagery so that small objects may be more readily detected. Our approach exploits the correlation between bands typically present in multispectral imagery. Using our approach, the resulting image generally consists of a weighted sum of both spectral bands and spatial frequencies. We found that we could generally increase the SNR of a multispectral image more than if the spectral bands were processed independently.

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Joint-Transform Correlator Architecture For Wavelet Feature Extraction, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor Jul 1997

Joint-Transform Correlator Architecture For Wavelet Feature Extraction, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor

Electrical Engineering and Computer Science Faculty Publications

A version of an image consisting of multiple wavelet scales allows for more flexible feature extraction when compared to the use of one wavelet scale. We proposed an imaging system based on a multiple-input joint-transform correlator, that could be used for multiple wavelet-scale analysis of an input image. Given a single input image and wavelet, for m wavelet scales, m versions of the wavelet and m copies of the input image were generated using conventional optics that are used as inputs to a joint wavelet-transform correlator. The output consisted of 4 m - 1 correlation results, one of which is …

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Robust Partial Least-Squares Regression: A Modular Neural Network Approach, Thomas M. Mcdowall, Fredric M. Ham Apr 1997

Robust Partial Least-Squares Regression: A Modular Neural Network Approach, Thomas M. Mcdowall, Fredric M. Ham

Electrical Engineering and Computer Science Faculty Publications

We have developed a robust Partial Least-Squares Regression (PLSR) neural network approach to statistical calibration model development. Generalized neural network learning rules derived from a weighted statistical representation error criterion that grows less than quadratically are presented. This optimization criterion allows for higher-order statistics associated with the inputs to be taken into account and also serves to robustify the results when the empirical data contains impulsive and colored noise and outliers. The learning rules presented are considered generalized because they can be used to implement several specialized cases including: robust PLSR, linear PLSR, weighted least-squares, and variance scaling. The same …

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Neural Network Approach To The Determination Of The Geophysical Model Function Of The Ers-1 C-Band Spaceborne Radar Scatterometer, Sami M. Alhumaidi, W. Linwood Jones Apr 1997

Neural Network Approach To The Determination Of The Geophysical Model Function Of The Ers-1 C-Band Spaceborne Radar Scatterometer, Sami M. Alhumaidi, W. Linwood Jones

Electrical Engineering and Computer Science Faculty Publications

Geophysical Model Functions (GMF) describing the relationship between the scatterometer normalized radar cross section (sigma-0) and useful geophysical parameters such as sea-surface wind vectors, wave heights, and sea- surface temperatures have been undergoing extensive research and development during the last decade. In this study, we investigate the use of two feed-forward neural networks, Multilayer Perceptron and Radial Basis Functions, for developing a useful and accurate representation of the C- band GMF. Collocated radar sigma-0 cells with global wind vector models were used as the database of the study. The resulting well-known biharmonic relationship between the sigma-0 and the relative azimuth …

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Comparison Of Three Clustering Algorithms And An Application To Color Image Compression, Jihun Cha, Laurene V. Fausett Apr 1997

Comparison Of Three Clustering Algorithms And An Application To Color Image Compression, Jihun Cha, Laurene V. Fausett

Electrical Engineering and Computer Science Faculty Publications

This paper investigates a traditional clustering algorithm (K-means) and two neural networks (SOM and ART-F). The characteristics of each algorithm are illustrated by simulating geometric space data clustering. Then each algorithm is applied to image data sets to compress the size by reducing the number of colors from 256 to 16.

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Comparison Of Neural Network Applications For Channel Assignment In Cellular Tdma Networks And Dynamically Sectored Pcs Networks, William S. Hortos Apr 1997

Comparison Of Neural Network Applications For Channel Assignment In Cellular Tdma Networks And Dynamically Sectored Pcs Networks, William S. Hortos

Electrical Engineering and Computer Science Faculty Publications

The use of artificial neural networks (NNs) to address the channel assignment problem (CAP) for cellular time-division multiple access and code-division multiple access networks has previously been investigated by this author and many others. The investigations to date have been based on a hexagonal cell structure established by omnidirectional antennas at the base stations. No account was taken of the use of spatial isolation enabled by directional antennas to reduce interference between mobiles. Any reduction in interference translates into increased capacity and consequently alters the performance of the NNs. Previous studies have sought to improve the performance of Hopfield- Tank …

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Multispectral Image Feature Extraction By The Joint Wavelet-Transform Correlator, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor Mar 1997

Multispectral Image Feature Extraction By The Joint Wavelet-Transform Correlator, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor

Electrical Engineering and Computer Science Faculty Publications

A multispectral version of an image consisting of multiple wavelet components allows for more flexible feature extraction when compared to the use of one wavelet component. We showed how a multiple-input joint wavelet- transform correlator could be used for multispectral analysis of an input image. For m wavelet scales, m versions of the wavelet and m copies of the input image were generated using conventional optics that are used as inputs to a joint wavelet-transform correlator. The output consisted of 4m-1 correlation results, one of which is the desired output. The space-bandwidth product of the system is the same as …

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