Signal processing is an electrical engineering subfield that focuses on analysing, modifying, and synthesizing signals such as sound, images, and scientific measurements. Signal processing techniques can be applied to improve transmission, storage efficiency and subjective quality and to also emphasize or detect components of interest in a measured signal.
SSPS is an annual meeting that includes invited talks, oral presentations and poster presentations of refereed papers, live presentation, as well as video presentation as well. First conference was held in Beijing (2019) during September 20-22, 2019 successfully. Second, Third, and Fourth conference were held virtually due to the pandemic. 2023 5th International Symposium on Signal Processing Systems (SSPS 2023) will take place in Guangzhou, China during March 24-26, 2023. We invite submissions of papers and abstracts on all topics related to Signal Processing Systems. It aims to bring together diversity of authors and speakers from many nations and regions to share ideas and new perspectives in both theoretical and practical aspects of signal processing.
We invite original paper submissions related to (but not limited to) the following topics:
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
➢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
➢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
