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Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modeling, validation and profiling of the algorithm

机译:在FPGA中实现生物启发式自适应小波变换。算法的建模,验证和分析

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摘要

Providing embedded systems with adaptation capabilities is an increasing importance objective in design community. This work deals with the implementation of adaptive compression schemes in FPGA devices by means of a bioinspired algorithm. A simplified version of an Evolution Strategy using fixed point arithmetic is proposed. Specifically, a simpler than the standard (hardware friendly) mutation operator is designed, modelled and validated using a high-level language. HW/SW partitioning issues are considered and code profiling accomplished to validate the proposal. Preliminary results of the proposed hardware architecture are also shown
机译:在设计界,为嵌入式系统提供适应能力已成为越来越重要的目标。这项工作通过生物启发算法处理FPGA设备中的自适应压缩方案的实现。提出了使用固定点算法的进化策略的简化版本。特别是,使用高级语言设计,建模和验证了比标准(对硬件友好)的标准突变算子更简单的算子。考虑硬件/软件分区问题,并完成代码分析以验证提案。还显示了所建议的硬件体系结构的初步结果

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