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Skip to Search Results- 2Channel estimation
- 2Compressive sampling
- 2Error-correcting codes
- 1Analog-to-information conversion
- 1Annotated raptor codes
- 1Asynchronization
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Spring 2015
Standard large-sensor-array-based camera designs are uneconomical when imaging with exotic wavelengths that require expensive photodetectors. The single-pixel camera allows image acquisition with only one sensor; however, its compressive sampling rate is too low to reliably acquire video...
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Fall 2012
In this dissertation we present new methods for designing efficient Raptor codes in finite and practical block lengths. First we propose an extension of Raptor codes which keeps all the desirable properties, including the linear complexity of encoding and decoding per information bit, and...
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Fall 2012
For successful correction of errors in a digital communication system, information about the channel, such as timing, noise power, fading gain, etc., should normally be available at the receiver. To this end, most receivers use channel parameter estimation and timing recovery modules. However,...
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Spring 2013
In recent years compressive sampling (CS) has appeared in the signal processing literature as a legitimate contender for processing of sparse signals. Natural signals such as speech, image and video are compressible. In most signal processing systems dealing with these signals the signal is first...