OPTIMIZING SIGNAL PROCESSING ALGORITHMS FOR EMBEDDED HARDWARE: BEST PRACTICES

Authors

  • Subhagato Dutta Carnegie Mellon University, Pennsylvania, USA Author

Keywords:

Embedded Signal Processing, Hardware-Software Co-Design, Algorithm Optimization, Edge Computing, FPGA Acceleration

Abstract

This comprehensive article examines the optimization strategies, challenges, and best practices in implementing signal processing algorithms for embedded hardware systems. The article explores various aspects including hardware-software co-design, algorithm optimization techniques, and emerging trends in edge computing. Through articles of multiple case studies and implementation scenarios, the study demonstrates the critical importance of early hardware consideration, efficient resource utilization, and systematic optimization approaches. The article covers memory management strategies, power optimization techniques, security implementations, and the integration of FPGA technology in modern embedded systems, providing insights into achieving optimal performance while maintaining system reliability and security.

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Published

2025-03-06

How to Cite

Subhagato Dutta. (2025). OPTIMIZING SIGNAL PROCESSING ALGORITHMS FOR EMBEDDED HARDWARE: BEST PRACTICES. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(2), 34-45. http://ijrcait.com/index.php/home/article/view/IJRCAIT_08_02_003