Abstract:

Digital Signal Processing (DSP) algorithms play a pivotal role in various applications ranging from telecommunications to multimedia systems. The efficient implementation of DSP algorithms on VLSI architectures is crucial to achieve high-performance, low-power, and area-efficient solutions. This paper proposes a novel approach for automating the design process of VLSI architectures for DSP algorithms using Evolutionary Algorithms (EAs). The objective is to optimize the architecture parameters, such as datapath configuration, pipeline stages, and memory organization, to meet specific performance metrics. The proposed methodology harnesses the power of EAs to explore the design space efficiently and generate VLSI architectures that can effectively execute DSP algorithms

Description:

Digital, Memory, Solutions, Algorithms, Medical