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Articles 301 - 330 of 370

Full-Text Articles in Electrical and Computer Engineering

Pattern Classification Approach To Underwater Acoustic Communications Based On The Wigner-Ville Distribution, Frank M. Caimi, Gamal A. Hassan Jul 2000

Pattern Classification Approach To Underwater Acoustic Communications Based On The Wigner-Ville Distribution, Frank M. Caimi, Gamal A. Hassan

Electrical Engineering and Computer Science Faculty Publications

This paper describes an approach and preliminary results associated with the use of pattern recognition techniques to identify transmitted information (symbols) in a temporally variant acoustic channel. The method allows the observation of the transmitted signal simultaneously in both time and frequency space and does not necessarily rely on the application of adaptive algorithms for reception. The observation of the symbol energy from the Wigner-Ville Distribution as two-dimensional pattern can allow the determination of channel characteristics over short symbol sequences and can provide a means for symbol detection. For the QPSK modulation used, wavelet filtering provides a basis for noise …

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2deg Channel-Dependent Model For Hg1-Xcdxte Based Pseudomorphic Hemts, Hang-Ming Dai, Thomas J. Sanders Jul 2000

2deg Channel-Dependent Model For Hg1-Xcdxte Based Pseudomorphic Hemts, Hang-Ming Dai, Thomas J. Sanders

Electrical Engineering and Computer Science Faculty Publications

HgCdTe has emerged as an important electronic material because of its IRFPA applications. Technologies for growing the material are advanced and current sources for the material are more readily available than in the past. This brings an advantage to the manufacturing other types of HgCdTe devices. PHEMTs are attractive as applications of high-speed devices. In this paper, a model for PHEMT devices by using Hg1 Cd1Te as device materials is presented. High digital performance of the device is expected because electron mobility ofthe material is very high at low temperatures.

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Computation For Crosstalk Effects In P-On-N Hg1-Xcdxte Heterojunction Irfpa Radiated By Using Uniformly Parallel Light, Hang-Ming Dai, Thomas J. Sanders Jul 2000

Computation For Crosstalk Effects In P-On-N Hg1-Xcdxte Heterojunction Irfpa Radiated By Using Uniformly Parallel Light, Hang-Ming Dai, Thomas J. Sanders

Electrical Engineering and Computer Science Faculty Publications

in our work, a three-dimensional IRFPA model has been constructed to conduct device simulations for drift-diffusion based Hg1 CdTe devices. The model uses the finite element method and numerical errors are automatically eliminated during computation. Computational results can thus easily achieve accuracy. The computer model was constructed by using C++ language. We have successfully represented simulation results in three-dimensional graphics. In this paper, a model for analyzing infrared-illuminated p-on-n photodiodes is presented. The computational results were verified analytically and experimentally. Furthermore, an IRFPA device model was built for calculating crosstalk by using uniformly collimated infrared radiation. Devices used for the …

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Bit Allocation Considering Mean Absolute Error For Image Compression, Hemen Goswami, Samuel Peter Kozaitis Jun 2000

Bit Allocation Considering Mean Absolute Error For Image Compression, Hemen Goswami, Samuel Peter Kozaitis

Electrical Engineering and Computer Science Faculty Publications

In lossy image compression schemes, often some distortion measure is minimized to arrive at a desired target bit rate. The distortion measure that has been most studied is the mean-squared-error (MSE). However, perceptual quality often does not agree with the notion of minimization of mean square error1 . Since MSE can not guarantee the optimality of perceptual quality, others error measures have been investigated. Others have found strong mathematical and practical perspective to choose a different error measure other than MSE, especially for image compression2. In Ref. 2 it is argued that the mean absolute error (MAE) measure is a …

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Wavelet-Based Image Compression Using Randomized Quantization, Samuel Peter Kozaitis, Hemen Goswami Jun 2000

Wavelet-Based Image Compression Using Randomized Quantization, Samuel Peter Kozaitis, Hemen Goswami

Electrical Engineering and Computer Science Faculty Publications

We applied dithered quantization to image compression using a wavelet transform, scalar quantization method. The results indicate that dithered quantization could change the noise characteristics ofthe reconstructed image.

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Circular Optimal Trade-Off And Distance-Classifier Correlation Filters, Samuel Peter Kozaitis, Sila Thangwaritorn May 2000

Circular Optimal Trade-Off And Distance-Classifier Correlation Filters, Samuel Peter Kozaitis, Sila Thangwaritorn

Electrical Engineering and Computer Science Faculty Publications

We use circular versions of advanced distortion-invariant filters such as optimal trade-off synthetic discriminant function and distance classifier correlation filters to obtain rotation invariance with an optical correlator. The filter noise performance is compared using a common measure of probability of error because the filters have different characteristics. The filters are real-valued so they can be implemented on a variety of SLMs. The circular symmetry of the filters significantly decreases their computational requirement.

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Adaptive Handoff Algorithms Based On Self-Organizing Neural Networks To Enhance The Quality Of Service Of Nonstationary Traffic In Hierarchical Cellular Networks, William S. Hortos Mar 2000

Adaptive Handoff Algorithms Based On Self-Organizing Neural Networks To Enhance The Quality Of Service Of Nonstationary Traffic In Hierarchical Cellular Networks, William S. Hortos

Electrical Engineering and Computer Science Faculty Publications

Third-generation (3G) wireless networks, based on a hierarchical cellular structure (HCS), support tiered levels of multimedia services. These services can be categorized as real-time and delay-sensitive, or non-real-time and delay-insensitive. Each call carries demand for one or more services in parallel; each with a guaranteed quality of service (QoS). Roaming is handled by handoff procedures between base stations (BSs) and the mobile subscribers (MSs) within the network. Metrics such as the probabilities of handoff failure, dropped calls and blocked calls; handoff transition time; and handoff rate are used to evaluate the handoff schemes, which also directly affect QoS. Previous researchers …

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Separation Of Infrasound Signals Using Independent Component Analysis, Fredric M. Ham, Sungin Park, Joseph C. Wheeler Mar 2000

Separation Of Infrasound Signals Using Independent Component Analysis, Fredric M. Ham, Sungin Park, Joseph C. Wheeler

Electrical Engineering and Computer Science Faculty Publications

An important element of monitoring compliance of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) is an infrasound network. For reliable monitoring, it is important to distinguish between nuclear explosions and other sources of infrasound. This will require signal (event) classification after a detection is made. We have demonstrated the feasibility of using neural networks to classify various infrasonic events. However, classification of these events can be made more reliably with enhanced quality of the recorded infrasonic signals. One means of improving the quality of the infrasound signals is to remove background noise. This can be carried out by performing signal separation using …

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Implementations Of Bidirectional Reordering Algorithms, Steven Atkin, Ryan Stansifer Jan 2000

Implementations Of Bidirectional Reordering Algorithms, Steven Atkin, Ryan Stansifer

Electrical Engineering and Computer Science Faculty Publications

The goal of this paper is to contribute to a deeper understanding of the Unicode Bidirectional Reference Algorithm. We have provided an alternative reference algorithm written in the functional language Haskell. The advantage of Haskell is it allows for a short, clear description of a complex problem. We have run our algorithm, the two Unicode reference implementations, and four others (ICU, PGBA, FriBidi, JDK 1.2) to test for compliance with the published standard. Conclusions are difficult to reach, but problems were found in the implementations and descriptions and above all with a character-stream to character-stream interpretation of the display of …

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Results Using An Alternative Approach To Channel Equalization Using A Pattern Classification Strategy, Frank M. Caimi, Gamal A. Hassan Dec 1999

Results Using An Alternative Approach To Channel Equalization Using A Pattern Classification Strategy, Frank M. Caimi, Gamal A. Hassan

Electrical Engineering and Computer Science Faculty Publications

In underwater acoustic communication, (ACOMMs), ocean surface and bottom conditions create multi path propagation's for the transmitted signal that result in Inter symbol Interference (ISI) at the receiver. Generally, Equalization, Diversity IBeam forming, and Channel Coding are three independent techniques that are used to improve received signal quality. Equalization compensates for ISI created by a band-limited, time-dispersive channel through implementation of specialized filtering schemes within the receiver. The coefficients of the equalizer need to be continuously adjusted to compensate for the variability in the channel. Since the number of states required by the equalizer (or beam former) is finite, and …

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Improved Wavelet-Based Multiresolution Edge Detection In Noisy Images, Yunwoo Lee, Samuel Peter Kozaitis Jul 1999

Improved Wavelet-Based Multiresolution Edge Detection In Noisy Images, Yunwoo Lee, Samuel Peter Kozaitis

Electrical Engineering and Computer Science Faculty Publications

We used the multiresolution property of the discrete wavelet transform to detect edges in noisy images. In our approach, we used wavelets corresponding to 1 and 2 derivatives to generate noisy wavelet coefficients. Then, we compared the wavelet COeffiCientS as a function of scale to reduce the effects of noise. In addition, our approach considered the change in edge position as a function of scale. We analyzed l..D experimental results and compar1 2..D results ofnoisy images to a more common edge detection method. Our results lead to improved edge detection resutts in noisy images.

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Design And Performance Characterization Of Simultaneous Reflectance And Surface-Mapping Laser Scanner For Application In Underwater Inspection, Frank M. Caimi, Donna M. Kocak, Coy Colquitt Jul 1999

Design And Performance Characterization Of Simultaneous Reflectance And Surface-Mapping Laser Scanner For Application In Underwater Inspection, Frank M. Caimi, Donna M. Kocak, Coy Colquitt

Electrical Engineering and Computer Science Faculty Publications

Considerable advancements have been made in undersea imaging over the past decade enabling long-range detection and observation of underwater objects in clear and turbid (cloudy) water. The image transfer characteristics of the medium (i.e. scattering and absorption) have been primary obstacles in developing high performance systems. However, the application of lasers to the imaging formation process is currently providing a means for acquiring long-range images, over 5-6 attenuation lengths in comparison to 1 -2 attenuation lengths for more conventional methods. In addition, laser technology is now offering the promise of systems capable of forming range maps and depth resolved images. …

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Comprehensive Analysis Of Edge Detection In Color Image Processing, Shu-Yu Zhu, Konstantinos N. Kostas Plataniotis, Anastasios N. Venetsanopoulos Apr 1999

Comprehensive Analysis Of Edge Detection In Color Image Processing, Shu-Yu Zhu, Konstantinos N. Kostas Plataniotis, Anastasios N. Venetsanopoulos

Electrical Engineering and Computer Science Faculty Publications

Various approaches to edge detection for color images, including techniques extended from monochrome edge detection as well as vector space approaches, are examined. In particular, edge detection techniques based on vector order statistic operators and difference vector operators are studied in detail. Numerous edge detectors are obtained as special cases of these two classes of operators. The effect of distance measures on the performance of different color edge detectors is studied by employing distance measures other than the Euclidean norm. Variations are introduced to both the vector order statistic operators and the difference vector operators to improve noise performance. They …

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Discrimination Of Volcano Activity And Mountain-Associated Waves Using Infrasonic Data And A Backpropagation Neural Network, Fredric M. Ham, Thomas A. Leeney, Heather M. Canady, Joseph C. Wheeler Mar 1999

Discrimination Of Volcano Activity And Mountain-Associated Waves Using Infrasonic Data And A Backpropagation Neural Network, Fredric M. Ham, Thomas A. Leeney, Heather M. Canady, Joseph C. Wheeler

Electrical Engineering and Computer Science Faculty Publications

An integral part of the Comprehensive Nuclear Test Ban Treaty monitoring is an international infrasonic monitoring network that is capable of detecting and verifying nuclear explosions. Reliable detection of such events must be made from data that may contain other sources of infrasonic phenomena. Infrasonic waves can also result from volcanic eruptions, mountain associated waves, auroral waves, earthquakes, meteors, avalanches, severe weather, quarry blasting, high-speed aircraft, gravity waves, and microbaroms. This paper shows that a feedforward multi-layer neural network discriminator, trained by backpropagation, is capable of distinguishing between two unique infrasonic events recorded from single station recordings with a relatively …

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Cascaded Neural Networks For Sequenced Propagation Estimation, Multiuser Detection, And Adaptive Radio Resource Control Of Third-Generation Wireless Networks For Multimedia Services, William S. Hortos Mar 1999

Cascaded Neural Networks For Sequenced Propagation Estimation, Multiuser Detection, And Adaptive Radio Resource Control Of Third-Generation Wireless Networks For Multimedia Services, William S. Hortos

Electrical Engineering and Computer Science Faculty Publications

A hybrid neural network approach is presented to estimate radio propagation characteristics and multiuser interference and to evaluate their combined impact on throughput, latency and information loss in third-generation (3G) wireless networks. The latter three performance parameters influence the quality of service (QoS) for multimedia services under consideration for 3G networks. These networks, based on a hierarchical architecture of overlaying macrocells on top of micro- and picoells, are planned to operate in mobile urban and indoor environments with service demands emanating from circuit-switched, packetswitched and satellite-based traffic sources. Candidate radio interfaces for these networks employ a form of wideband CDMA …

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Extension Of The Generalized Hebbian Algorithm For Principal Component Extraction, Fredric M. Ham, Inho Kim Oct 1998

Extension Of The Generalized Hebbian Algorithm For Principal Component Extraction, Fredric M. Ham, Inho Kim

Electrical Engineering and Computer Science Faculty Publications

Principal component analysis (PCA) plays an important role in various areas. In many applications it is necessary to adaptively compute the principal components of the input data. Over the past several years, there have been numerous neural network approaches to adaptively extract principal components for PCA. One of he most popular learning rules for training a single-layer linear network for principal component extraction is Sanger's generalized Hebbian algorithm (GHA). We have extended the GHA (EGHA) by including a positive-definite symmetric weighting matrix in the representation error-cost function that is used to derive the learning rule to train the network. The …

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Performance Of Optimal Trade-Off And Distance-Classifier Circular Filters For Rotation Invariance, Samuel Peter Kozaitis, Sila Thangwaritorn Aug 1998

Performance Of Optimal Trade-Off And Distance-Classifier Circular Filters For Rotation Invariance, Samuel Peter Kozaitis, Sila Thangwaritorn

Electrical Engineering and Computer Science Faculty Publications

We evaluated the performance of circular optimal trade-off SDF (OTSDF) and distance classifier correlation filters (DCCFs) as rotation-invariant correlation filters. Because the filters are designed using different parameters we compared the filter's performance in terms of an equivalent effect of probability of error. The use of OTSDF and DCCF filters as circular filters allows their calculation to be greatly simplified when compared to using rotated views of an object to create filters. We found that both types of filters can be used for rotation-invariant object recognition in a noisy environment. In addition, the filters generated were real-valued so they may …

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Wavelet-Based Noise Reduction In Multispectral Imagery, Abdullah A. Basuhail, Samuel Peter Kozaitis Jul 1998

Wavelet-Based Noise Reduction In Multispectral Imagery, Abdullah A. Basuhail, Samuel Peter Kozaitis

Electrical Engineering and Computer Science Faculty Publications

We used a 3-D wavelet-based denoising method to reduce the noise from multispectral imagery. In our approach, we compared denoising of different bands of a multispectral image using a 2-D denoising technique, by which the wavelet coefficients corresponding to each band were denoised independent of each band, and a 3-D denoising technique by which the wavelet coefficients were denoised by involving all bands in thresholding the wavelet coefficients. Due to the high correlation of the multispectral imagery data along the wavelength axis, the noise can be easily reduced by applying the wavelet transform along the wavelength direction. Our results showed …

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Quantum Theory Of The Linewidth Of A Laser With A Saturable Absorber: Phase Diffusion, Michael Sokol Jul 1998

Quantum Theory Of The Linewidth Of A Laser With A Saturable Absorber: Phase Diffusion, Michael Sokol

Electrical Engineering and Computer Science Faculty Publications

A quantum theory of the spectral width of a laser with a saturable absorber is presented. We perform a density matrix calculation yielding the off-diagonal element ρ n,n+1(t) which is proportional to the average value of the electric field associated with the laser field having a large photon number n. The general linewidth theory is applied to any general laser which has saturable absorber features for a portion of the building of the laser field. We have found that the saturable absorber action contribution to the linewidth of such a laser can be substantial. © 1998 Society of Photo-Optical Instrumentation …

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Multiple-Input Joint Transform Correlator For Wavelet Feature Extraction, Samuel Peter Kozaitis, Mark A. Getbehead Apr 1998

Multiple-Input Joint Transform Correlator For Wavelet Feature Extraction, Samuel Peter Kozaitis, Mark A. Getbehead

Electrical Engineering and Computer Science Faculty Publications

We describe a joint transform correlator (JTC) that uses multiple input images encoded in the spatial domain for multiwavelet feature extraction. We extend the theory of a JTC to multiple inputs, which enables various combinations of cross-correlations between input images to be performed. Furthermore, we provide experimental results for four inputs with an optically addressed spatial light modulator in the Fourier plane. In addition, it is possible that the space-bandwidth product for multiwavelet feature extraction can be made the same as for a two-input JTC. © 1998 Society of Photo-Optical Instrumentation Engineers.

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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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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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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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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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