Real-time progressive hyperspectral image processing : endmember finding and anomaly detection / by Chang, Chein-I, SpringerLink (Online service)

Table of Contents: “…Overview and introduction -- Linear spectral mixture analysis -- Finding endmembers in hyperspectral imagery -- Linear spectral unmixing with three criteria, least squares error, simplex volume and orthogonal projection -- Hyperspectral target detection -- Fully geometric-constrained sequential endmember finding: simplex volume analysis-based N-FINDR -- Partially geometric-constrained sequential endmember finding: convex cone volume analysis -- Geometric-unconstrained sequential endmember finding: orthogonal projection analysis -- Fully abundance-constrained sequential endmember finding: linear spectral mixture analysis -- Fully geometric-constrained progressive endmember finding: growing simplex volume analysis -- Partially geometric-constrained progressive endmember finding: growing convex cone volume analysis -- Geometric-unconstrained progressive endmember finding: orthogonal projection analysis -- Endmember finding algorithms: comparative studies and analyses -- Anomaly detection characterization -- Anomaly discrimination and categorization -- Anomaly detection and background suppression -- Multiple window anomaly detection -- Anomaly detection using causal sliding windows.…”
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Advanced digital optical communications / by Binh, Le Nguyen, Safari Books Online

Table of Contents: “…Front Cover; Contents; Preface; Acknowledgments; Author; Acronyms; Chapter 1: Introduction; Chapter 2: Optical Fibers; Chapter 3: Optical Transmitters; Chapter 4: Optical Receivers and Transmission Performance : Fundamentals; Chapter 5: Optical Coherent Detection and Processing Systems; Chapter 6: Differential Phase Shift Keying Photonic Systems; Chapter 7: Multilevel Amplitude and Phase Shift Keying Optical Transmission; Chapter 8: Continuous Phase Modulation Format Optical Systems; Chapter 9: Frequency Discrimination Reception for Optical Minimum Shift Keying.…”
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Hyper bio assembler for 3D cellular systems / by SpringerLink (Online service)

Table of Contents: “…Cell Mechanical Characterization Based on On-chip Robotics -- Dimensionless Evaluation of Cell Deformability with High Resolution Positioning in a Microchannel -- Real-time Capillary-level Microchannel Flow Analysis Using a Full-pixel Frame-straddling Micro-PIV System -- High-throughput Measurements of Single Cell Rheology by Atomic Force Microscopy -- Discrimination of Cells with Specific Antigens Expressed on Membrane Based on the Dielectrophoresis -- Analysis of Physical Characteristic of Hematopoietic Cells -- Cell Manipulation and Cellular Parts Assembly for Constructing 3D Cellular Systems -- High-throughput Cell Assembly Featuring Heterogeneous Hydrogels Produced by Using Microfluidic Devices -- On-Chip Fabrication, Manipulation and Self-Assembly for Three-Dimensional Cell Structures -- Fabrication of 3D Cellular Tissue utilizing MEMS Technologies -- Photofabrication Techniques for 3D Tissue Construct -- Cell Detachment for Engineering Three-Dimensional Tissues -- Quantitative Evaluation of Cell-Hydrogel Adhesion by Advanced Optical Techniques -- Cell Scooper: A Device for the Rapid Transfer of Living Cell Sheet -- Hydrogel-based Microenvironment for Modulating Gland Tissue Morphogenesis -- Bone Related Cell-stimulating Scaffolds Materials and a 3D Cellular Construct for Hard Tissue Regeneration -- The Visualization of Human Organogenesis from Stem Cells by Recapitulating Multicellular Interactions -- Bionic Simulator Based on Organ-Explant-Chip -- Tempo-spatial Dynamics of Cellular Mechanics -- Four-dimensional Analysis for a Tumor Invasion -- Three-dimensional Mineralized Tissue Formation of Cultured Bone Marrow Stromal Cells -- Cell Sociology Illuminated by Reconstructing Functional Tissue with Cell Sheet Based Technology.…”
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Frequency measurement technology / by Llamas-Garro, Ignacio, Melo, Marcos Tavares de, Kim, Jung-Mu, PALCI EBSCO books

Table of Contents: “…Frequency Measurement Technology; Contents; Preface; Chapter 1 Frequency Measurement Fundamentals; 1.1 OVERVIEW; 1.2 INTRODUCTION TO RF/MICROWAVE FREQUENCY MEASUREMENT; 1.2.1 RF/microwave Measurement Theory; 1.2.2 Frequency Measurement Instrumentation; 1.2.3 Frequency Detection Architectures; References; Chapter 2 Instantaneous Frequency Measurement; 2.1 OVERVIEW; 2.2 INTRODUCTION TO INSTANTANEOUS FREQUENCY MEASUREMENT; 2.3 IFM RECEIVERS; 2.3.1 Analog Frequency Discriminators; 2.3.2 Digital Frequency Discriminators; 2.4 IFM DESIGNS; 2.4.1 IFM Using Interferometers Based on Delay Lines.…”
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Engineering physics and mechanics : analyses, prediction, and applications / by PALCI EBSCO books

Table of Contents: “…Leontiev -- t Vibration analysis of non -uniform beams using spline collocation method / r Ming-Hung Hsu -- t Multiclass fuzzy classifiers based on kernel discriminant analysis / r Ryota Hosokawa and Sigeo Abe.…”
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Random processes for image and signal processing / by Dougherty, Edward R., SPIE Digital Library

Table of Contents: “…Optimal filtering -- Optimal mean-square-error filters -- Conditional expectation -- Optimal nonlinear filter -- Optimal filter for jointly normal random variables -- Multiple observation variables -- Bayesian parametric estimation -- Optimal finite-observation linear filters -- Linear filters and the orthogonality principle -- Design of the optimal linear filter -- Optimal linear filter in the jointly Gaussian case -- Role of wide-sense stationarity -- Signal-plus-noise model -- Edge detection -- Steepest descent -- Steepest descent iterative algorithm -- Convergence of the steepest-descent algorithm -- Least-mean-square adaptive algorithm -- Convergence of the LMS algorithm -- Nonstationary processes -- Least-squares estimation -- Pseudoinverse estimator -- Least-squares estimation for nonwhite noise -- Multiple linear regression -- Least-squares image restoration -- Optimal linear estimation of random vectors -- Optimal linear filter for linearly dependent observations -- Optimal estimation of random vectors -- Optimal linear filters for random vectors -- Recursive linear filters -- Recursive generation of direct sums -- Static recursive optimal linear filtering -- Dynamic recursive optimal linear filtering -- Optimal infinite-observation linear filters -- Wiener-Hopf equation -- Wiener filter -- Optimal linear filter in the context of a linear model -- The linear signal model -- Procedure for finding the optimal linear filter -- Additive white noise -- Discrete domains -- Optimal linear filters via canonical expansions -- Integral decomposition into white noise -- Integral equations involving the autocorrelation function -- Solution via discrete canonical expansions -- Optimal binary filters -- Binary conditional expectation -- Boolean functions and optimal translation-invariant filters -- Optimal increasing filters -- Pattern classification -- Optimal classifiers -- Gaussian maximum-likelihood classification -- Linear discriminants -- Neural networks -- Two-layer neural networks -- Steepest descent for nonquadratic error surfaces -- Sum-of-squares error -- Error back-propagation -- Error back-propagation for multiple outputs -- Adaptive network design -- Exercises for chapter 4.…”
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Mechatronics engineering and electrical engineering : proceedings of the 2014 International Conference on Mechatronics Engineering and Electrical Engineering (CMEEE 2014), Sanya, H... by International Conference on Mechatronics Engineering and Electrical Engineering Sanya Shi, China, Safari Books Online.

Table of Contents: “…Luo -- Fault diagnosis of rolling bearing based on Fisher Discriminant Analysis / W.B. Zhang, Ch. G. Liang & G. …”
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Language identification using excitation source features / by Rao, K. Sreenivasa (Krothapalli Sreenivasa), Nandi, Dipanjan, SpringerLink (Online service)

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