By Arthur Cayley
This quantity is made from electronic photos from the Cornell collage Library historic arithmetic Monographs assortment.
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This chapter discusses the role of reconfigurable computing using field programmable gate arrays (FPGAs) for onboard processing of remotely sensed data. The chapter also describes several case studies of remote sensing applications in which reconfigurable computing has played an important role, including cloud detection and dimensionality reduction of hyperspectral imagery. Chapter 16. FPGA Design for Real-Time Implementation of Constrained Energy Minimization for Hyperspectral Target Detection.
Next, we describe the hyperspectral data sets used for evaluation purposes. A detailed survey on algorithm performance in a real application is then provided, along with a discussion on the advantages and disadvantages of each particular approach. The section concludes with a discussion of the results obtained for the PPI implemented using different HPC architectures. 1 High-Performance Computer Architectures This subsection provides an overview of the HPC platforms used in this study for demonstration purposes.
The part also includes specific aspects about current trends in remote sensing sensor design and operation. Organization of Chapters in This Volume The first part of the book (General) consists of two chapters that include basic concepts that will appeal to both students and practitioners who have not had a formal education in remote sensing and/or computer engineering. This part will also be of interest to remote sensing and general-purpose HPC specialists, who can greatly benefit from the exhaustive review of techniques and discussion on future data processing perspectives in this area.
An elementary treatise on elliptic functions by Arthur Cayley