Call For Papers

The IEEE Workshop on Signal Processing Systems (SiPS) will be a virtual event running on 19-21 October 2021. Prospective authors are expected to submit 6-page (max.) papers through EasyChair.

SiPS is a premier international forum in the area of design and implementation of signal processing systems. This is the first time SiPS takes place in Coimbra, Portugal, featuring a comprehensive program, including technical workshops, tutorials, demonstrations, and exhibitions.

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 implementations
  • Hardware Implementation of Signal Processing Systems
    • Low-power signal processing circuits and applications
    • High-performance VLSI systems
    • FPGA and reconfigurable architecture-based systems
    • System-on-chip and network-on-chip
    • VLSI for sensor network and RF identification systems
    • Processing-in-memory signal processing systems
  • Machine Learning for Signal Processing
    • Circuits and systems for AI
    • Deep learning/machine learning/AI algorithms
    • Tools/platforms for AI
    • Edge and cloud AI computing platforms
    • Hardware/neuromorphic accelerators
    • Hardware/software co-design and automation for AI
  • 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
    • Error-tolerant techniques for signal processing
  • 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
    • Sensing and sensor signal processing
    • Signal processing for non-volatile memory systems
    • Latency-and power-constrained signal processing
    • Wireless communications and MIMO systems
    • Coding and compression
    • Signal processing for mixed-signal technologies