Call for Papers

The IEEE International Workshop on Signal Processing Systems (SiPS) is a premier international forum in the area of design,
implementation and application of signal processing systems. It addresses all aspects of architecture and design methods of
these systems. Emphasis is on current and future challenges in research and development in both academia and industry.

We invite prospective authors to submit original papers in areas including, but not limited to:

• Software Implementation of Signal Processing Systems
  • Software on programmable digital signal processors
  • Application-specific instruction-set processor (ASIP) architectures
    and systems
  • SIMD, VLIW, and multi-core CPU architectures
  • GPU-based massively parallel implementation
• Hardware Implementation of Signal Processing Systems
  • Low power/complexity signal processing circuits & applications
  • FPGA and reconfigurable architecture-based systems
  • System-on-chip and network-on-chip
  • VLSI for sensor network and RF identification systems
  • Quantum signal processing
  • Neuromorphic computing
  • Edge and embedded computing
• Machine Learning and AI for Signal Processing
  • Circuits and systems for AI
  • Resource-efficient machine learning and AI
  • Tools/platforms for AI
  • Hardware/neuromorphic accelerators
  • Hardware/software co-design and automation for AI
  • Applications of generative AI and foundation models
• Design Methods of Signal Processing Systems
  • Optimization of signal processing algorithms
  • Compilers and tools for signal processing systems
  • Algorithm-to-architecture transformation
  • Dataflow-based design methodologies
• Signal Processing Application Systems
  • Audio, speech, and language processing
  • Biomedical signal processing and bioinformatics
  • Image, video, and multimedia signal processing
  • Information forensics, security, and cryptography
  • Radar, sonar and acoustic sensing systems
  • Robotics and autonomous systems
  • Sensor arrays and networks and their applications
  • Signal processing for non-volatile memory systems
  • Wireless communications and internet of things
  • Signal processing for mixed-signal technologies