Quantization and Compressive Sensing

Quantization is an essential step in digitizing signals, and, therefore, an indispensable component of any modern acquisition system. This book chapter explores the interaction of quantization and compressive sensing and examines practical quantization strategies for compressive acquisition systems. Specifically, we first provide a brief overview of quantization and examine fundamental performance bounds applicable to any quantization approach. Next, we consider several forms of scalar quantizers, namely uniform, non-uniform, and 1-bit. We provide performance bounds and fundamental analysis, as well as practical quantizer designs and reconstruction algorithms that account for quantization. Furthermore, we provide an overview of Sigma-Delta ($\Sigma\Delta$) quantization in the compressed sensing context, and also discuss implementation issues, recovery algorithms and performance bounds. As we demonstrate, proper accounting for quantization and careful quantizer design has significant impact in the performance of a compressive acquisition system.Comment: 35 pages, 20 figures, to appear in Springer book "Compressed Sensing and Its Applications", 201

Identification of human nasal mucous proteins using proteomics.

The determination of possible biomarkers in nasal secretion of healthy subjects can have a role in early diagnosis of diseases such as rhinosinusitis. For this purpose, nasal lavage fluids (NLFs) from ten volunteers, collected before and after they had been submitted to nasal provocations, were investigated. Separation and analysis of proteins present in this complex matrix was performed using a capillary liquid chromatography-electrospray-quadrupole-time of flight mass spectrometry equipment. From among a total of 111 proteins found (89 known and two unknown proteins), 42 of which had never been previously described in this fluid, such as Deleted inMalignant Brain Tumors 1 isoform a precursors, and cytoskeletal proteins were identified with high statistical score. Three proteins of palate lung nasal epithelial clone (PLUNC) family: SPLUNC1, LPLUNC1, and LPLUNC2 were identified. Proteins involved in innate (27%) and acquired immunity (21%) systems were major components of NLF. Cellular (52% of all proteins identified) such as cytoskeletal (33%), functional (15%), and regulatory (4%) proteins, normally present in the nasal cavity, have also been identified. The proteomic approach presented here allowed us to identify the proteins involved in acquired and innate immune response in the nose against microbial infections and unclean inhaled air

Analysis of the sinusitis nasal lavage fluid proteome using capillary liquid chromatography interfaced to electrospray ionization-quadrupole time of flight- tandem mass spectrometry

The nasal lavage fluids (NLFs) from four subjects with acute sinusitis were analyzed to investigate the amount of proteins expressed in this pathology at the beginning of the event (day 1) and after 6 days of treatment with antibiotics and a nasal steroid spray. The protein identification was performed with capillary liquid chromatography-electrospray-quadrupole time of flight-(LC-ESI-Q-TOF)-mass spectrometry. The samples collected on the first day contained high-abundant plasma proteins, such as albumin and immunoglobulins, glandular serous cell proteins (lysozyme, lactoferrin, and polymeric immunoglobulin receptor), epithelial keratins, and inflammatory cell proteins (myeloperoxidase, IL-16, and IL-17E). After six days of therapy, the complexity of the proteome was reduced to plasma proteins and lysozyme with no inflammatory markers. The presence of hemoglobin, however, suggested that significant squamous metaplasia with breaches in the epithelial barrier, or nasal steroid-related bleeding, had occurred. The proteomic approach presented here allowed us to identify, in the high complexity of acute sinusitis nasal secretions, the proteins that respond to a pharmacological treatment and that could be suitable as markers of this pathology