IEEE International Workshop on Signal Processing Systems, Belfast, UK

Abbrevation

SiPS

Link

http://www.sips2014.org/

City

Belfast

Country

Deadline Paper

2014-04-25

Start Date

2014-10-20

End Date

2014-10-22

Abstract

The IEEE Workshop on Signal Processing Systems (SiPS) is a major international forum for discussion of new technology progress and innovations in the design and implementation of signal, image, data and information processing systems. The theme of SiPS 2014 is â€œSecure Signal Processing Systems.â€ emphasising the signal, image and data processing and cryptographic technologies which will secure next generation communication systems, utility networks and cities. Submissions that fall into this category are particularly welcome. Prospective authors are invited to submit manuscripts on topics including, but not limited to: Embedded Signal Processing Low–cost and energy–efficient processing techniques and architectures Application specific instruction–set processor (ASIP) architecture and systems VLSI, System–on–Chip and Network–on–Chip signal processing architectures Programmable DSP, SIMD, VLIW, multi–core and GPU–based realisation of signal processing applications Low–power signal processing architectures and techniques FPGA and reconfigurable architectures Bio–inspired architectures Data processing and â€˜Big Dataâ€™ architectures Design, Compilation and Synthesis Model–based design of signal processing systems Algorithm/architecture co–optimisation Dataflow analysis and synthesis of embedded signal processing systems Application modelling and programming languages Compilers for software signal processing platforms Synthesis techniques for VLSI, FPGA and reconfigurable architectures Algorithm transformation and algorithm–to–architecture mapping Algorithms & Applications Computationally–efficient and low complexity signal processing algorithms and operations Cyber–physical signal processing applications Encrypted–domain signal processing applications Biomedical signal processing and biosystems â€˜Big Dataâ€™ signal and data processing applications Image, video, audio, speech and multimedia signal processing Information forensics, security and cryptography Communications and networking Machine learning for signal processing Sensing and sensor signal processing