Digital Signal Processing

Digital Signal Processing

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Contains an introduction and reports on twenty research projects.

Bibliographic Details
Main Authors:	Oppenheim, Alan V., Bondaryk, Joseph E., Cobra, Daniel T., Covell, Michele M., Feder, Meir, Weinstein, Ehud, Lim, Jae S., Griffin, Daniel W., Harasty, Daniel J., Hardwick, John C., Jachner, Jacek, Joo, Tae H., Pappas, Thrasyvoulos N., Zakhor, Avideh, Dove, Webster P., Davis, Randall, Izraelevitz, David, Martinez, Dennis M., Milios, Evangelos E., Myers, Cory S., Silva, Anthony J., van Hove, Patrick, Frisk, George V., Wengrovitz, Michael S., Rodriguez, Jeffrey J.
Format:	Technical Report
Language:	English
Published:	Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT) 2010
Subjects:	Digital Signal Processing Reconstruction of Two-Dimensional Signals From Distorted Zero Crossings Digital Processing of Side Scan Sonar Data Representation of Signal Processing Knowledge Representation of Signal Processing Expressions Manipulation of Signal Processing Knowledge Manipulation of Signal Processing Expressions Iterative Algorithms for Parameter Estimation with Applications to Array Processing New Mixed-Excitation Speech Model Application of a New Mixed-Excitation Speech Model to Bit-Rate Reduction Mixed Causuality IIR Filtering for Nonminimum Phase Channel Compensation A 4.8 Kbps High Quality Speech Coding System Multi-Representational Signal Matching Detection of Narrowband Signals in Wideband Noise Estimation of Coronary Artery Boundaries in Angiograms Reconstruction of Multidimensional Signals from Multilevel Threshold Crossings Knowledge-Based Pitch Detection Reconstruction of a Two-Dimensional Signal from the Fourier Transform Magnitude Model-Based Motion Estimation Application of Model-Based Motion Estimation to Restoration of Motion Pictures Application of Model-Based Motion Estimation to Interpolation of Motion Pictures Signal Processing using Multilevel Signal Abstractions Signal Interpretation using Multilevel Signal Abstractions Signal Representation for Symbolic Processing Signal Representation for Numerical Processing Reconstruction of Undersampled Periodic Signals Silhouette-Slice Theorems The Hilbert-Hankel Transform Application of the Hilbert-Hankel Transform to Shallow Water Ocean Acoustics Speech Enhancement Using Adaptive Noise Cancellation
Online Access:	http://hdl.handle.net/1721.1/57007

Internet

http://hdl.handle.net/1721.1/57007