摘要

An FPGA-based fixed-point ADALINE Neural Network core with low resource utilization and fast convergence speed is proposed for embedded adaptive signal processing in real-time. The core is designed in VHDL93 language and is FPGA-brand-independent so can be embedded on any brand to create a system-on-programmable-chip (SoPC).

  • 出版日期2010