Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector quantization and signal compression
Vector quantization and signal compression
Communicating sequential processes
Communications of the ACM
Digital Design: Principles and Practices
Digital Design: Principles and Practices
Digital Systems Design with VHDL and Synthesis
Digital Systems Design with VHDL and Synthesis
Image Processing System Architectures
Image Processing System Architectures
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
International Journal of High Performance Computing Applications
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A high-performance Karhunen Loève transform for multi-spectral imagery suitable for remote sensing applications has been prototyped on a platform FPGA. through hardware compilation onto a PC-based development board. Performance estimates suggest that the design will outperform implementation on a high-end microprocessor, given due attention to I/O (input/output). Detailed analysis of the design steps taken to produce a successful prototype are given. A design that addresses the issue of data bandwidth is included. General conclusions are reached for the utility of this architecture and design method for fine-grained parallel processing.