Many branches of science and engineering are concerned with the problem of recording signals from physical phenomena. However, an acquisition system does not always directly provide the high-quality signal representations that a given application requires... Lire la suite
Many branches of science and engineering are concerned with the problem of recording signals from physical phenomena. However, an acquisition system does not always directly provide the high-quality signal representations that a given application requires. Signal processing and the study of inverse problems offer a set of powerful tools to recover a good signal quality from altered raw measurements.
After an overview of the field, this thesis presents three contributions. The first contribution focuses on recovering a key structural property of a sparse signal, its support. It discusses guarantees associated to a convex optimization method with atypical fidelity, e.g., using a non-Euclidean norm. The second part introduces a method for learning a convolutional dictionary, used as a multimodal imaging prior.
This constitutes a practical way of sharing information between several imaging modalities, such as depth and light intensity. The last contribution revolves around the design of two multispectral compressive imaging strategies using spectrally filtered sensors. The first scheme relies on a generalized inpainting formulation in the multispectral volume, while the second system leverages the principles of compressed sensing from coded optical convolutions. This last chapter studies and compares both sensing models and discusses implementation challenges and tradeoffs.
Introduction 11
Chapter 1
Lolo Edward "Bante" Primo, the Mambonong 15
Chapter 2
Lolo Nardo Bato 49
Chapter 3
Lolo Saturnino W. Dino 69
Chapter 4
Lola Agustina Etop 79
Chapter 5
Lola Rosita Milliano 99
Chapter 6
Lolo Marcial Monang 115
Chapter 7
Lolo Melanio Billit 149
Chapter 8
Lola Lucia Puga 159
Chapter 9
Lola Juana Willy 167
Glossaries 175
Nabaloy terms 175
Nabaloy terms for rituals 190
Animals, birds, reptiles, insects 194
Kabunians, spirits and personalities in stories 196