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High level validation of an optimization algorithm for the implementation of adaptive Wavelet Transforms in FPGAs

机译:在FPGA中实现自适应小波变换的优化算法的高级验证

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摘要

The work reported in this paper describes the steps given towards an FPGA-based implementation of evolvable wavelet transforms for image compression in embedded systems. An Evolutionary Algorithm (EA) for the design and optimization of the transform coefficients is tailored for a suitable System on Chip implementation. Several cut downs on the computing requirements have been done to the original algorithm, adapting it for the FPGA implementation. What this paper addresses more specifically is the validation of the algorithm using fixed point arithmetic for the whole optimization process. The results show how high quality transforms are evolved from scratch with limited precision arithmetic. Also, preliminary results of the implementation in an FPGA device are included.
机译:本文报道的工作描述了为实现嵌入式系统中图像压缩的可进化小波变换的基于FPGA的实现而给出的步骤。针对合适的片上系统实施量身定制了用于设计和优化变换系数的进化算法(EA)。原始算法已对计算要求进行了多次缩减,使其适合于FPGA实现。本文更具体地讨论的是在整个优化过程中使用定点算法对算法进行验证。结果表明,如何使用有限的精度算法从头开始生成高质量的转换。此外,还包括在FPGA器件中实现的初步结果。

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