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Signal Processing Research Program
Abstract
Contains table of contents for Part III, table of contents for Section 1, an introduction and reports on fourteen research projects.Charles S. Draper Laboratory Contract DL-H-404158U.S. Navy - Office of Naval Research Grant N00014-89-J-1489National Science Foundation Grant MIP 87-14969Battelle LaboratoriesTel-Aviv University, Department of Electronic SystemsU.S. Army Research Office Contract DAAL03-86-D-0001The Federative Republic of Brazil ScholarshipSanders Associates, Inc.Bell Northern Research, Ltd.Amoco Foundation FellowshipGeneral Electric FellowshipNational Science Foundation FellowshipU.S. Air Force - Office of Scientific Research FellowshipU.S. Navy - Office of Naval Research Grant N00014-85-K-0272Natural Science and Engineering Research Council of Canada - Science and Technology Scholarshi- Technical Report
- Signal Processing Research Program
- Algorithmic Fault Tolerance in Digital Signal Processing
- Active Noise Cancellation Using the EM Algorithm
- Iterative Maximum Likelihood Time Delay Using Stationary Signals
- Doppler Estimation Using Stationary Signals
- Estimation of Geometric Distortions in Side-Scan Sonar Images
- Correction of Geometric Distortions in Side-Scan Sonar Images
- An Algorithm Design Environment for Signal Processing
- Compiling Signal Processing Algorithms into Architectures
- Vector Quantization with Adaptive Structured Codebooks
- The Application of Complex Approximation Algorithms to the Design of Robust Range-Dependent Beamformers
- Analysis of an Adaptively Trained Recurrent Neural Network
- Applications of an Adaptively Trained Recurrent Neural Network
- Code-Division, Multiple Beam Sonar Imaging System
- Back-projection with Fourier Series Expansion and FFT
- Iterative Algorithms for Parameter Estimation from Incomplete Data
- Applications of Iterative Algorithms for Parameter Estimation from Incomplete Data to Signal Processing
- Equalization (Identification) of Non-Minimum Phase Systems
- Signal Processing with 1/f Processes Using Wavelets
Similar works
This paper was published in DSpace@MIT.
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