Computer, data mining, database of image
Bayesian Statistics A hypothesis is nothing more than a claim or premise that one is interested in verifying. In imaging and spectroscopy, one example is that at a certain location in the eld of view, the hypothesis is that a spectrum is present. Another hypothesis is...
Computer, data mining, database of image, image processing
Principal Component Analysis Principal component analysis (PCA) is a dimensionality reduction technique that attempts to recast a dataset in a manner that nds correlations in data that may not be evident in their native basis and creates a set of basis vectors in...
Computer, data mining, database of image, image processing, Medicine
Practical Considerations in Computational Sensing Computational sensing as a eld is continuing to grow at a rapid pace. The number of journal publications related to computational sensing has steadily increased every year since 2008 . There is now a major Optical...
Computer, data mining, database of image, image processing
Compressive Sensing Traditionally, in order to increase the resolution of a sensor, one had to increase the number of measurements. This means that the SWAP-C must also increase. A camera with just a few megapixels FPA costs less than one with hundreds of megapixels....
Communication, Computer, data mining, database of image
The Digital Imaging Revolution The invention of the Charge-Coupled Device (CCD) FPA by Boyle and Smith in 1969 was a major breakthrough for entire elds and industries who depended on the reliable sampling, storage and transmission of optical signals . The CCD is the...
Computer, data mining, database of image, image processing, Medicine
Indirect Imaging While Golay, Fennimore, and others were leveraging multiplexing to eliminate trade offs in traditional sensors, an entirely disparate group of researchers were working on imaging techniques for which there was no isomorphic analog. In these cases the...
Computer, data mining, database of image
Practical Consideration In Experimental Computional Sensing Forward Models and Inverse Problems In the computational sensing community, a model that explains the mapping of the signal-of-interest to the measurement data is called the forward model . The problem of...
Computer, data mining, database of image, image processing
Development of Multiplexing in Sensing Multiplexing in sensing is the idea that each measurement sample is a physical combination of various parts of the analog signal-of-interest. Multiplexing is a powerful tool that can be exploited by the sensor designer to...
Computer, data mining, database of image, image processing
Isomorphic Sensing In Greek, the word isomorphic loosely translates to \equal in form.” Traditional sensors perform isomorphic sensing. In the context of this dissertation, an isomorphic sensor is any sensor which attempts to produces measurement data that...
