The Signal Processing Systems (SiPS) group is devoted to research, development and education of new methodologies and technologies needed for the realization of high performance signal processing systems. In the last years SIPS research competences have been refocused in three main research areas, namely Computer Architectures and Parallel Algorithms (CAPA), Communication Systems (COMS) and Bio and Nano electronic Systems (BIOS).

The Computer Architectures and Parallel Algorithms area is devoted to the research of heterogeneous processor and computer architectures envisaging low-power, high-performance and secure, parallel and reconfigurable systems, and on its efficient exploitation at the software-level. Its main objectives are:

  • research on efficient computational algorithms for signal processing and multimedia applications, with real-time operation, high throughput and low latency time (e.g. object or sample based video coding, human vision system modeling, etc.);
  • research on heterogeneous computer architectures and micro-architectures, computer arithmetic, low power design, secure reconfigurable computing;
  • parallel programming techniques and tools, scheduling algorithms and load-balancing techniques, and middleware agents for energy-efficient and high-performance computing systems.

The Communication Systems area bases its research activities on the development of digital signal processing systems for wide bandwidth fast communication wired or wireless systems. The SiPS goals concerning COMS are:

  • the research on signal processing for communications, namely in digital synchronizers, spread spectrum systems applied to wide and ultra wide bandwidth communication systems for cable, power line and radio communications;
  • the research on cognitive software defined radio (SDR) and communications channel simulators;
  • the research on adaptive systems such as echo (electric and acoustic) noise cancellers, vibration cancellers, beam forming arrays, etc.

Finally, Bio and Nano electronic Systems is focused on:

  • research on architectures and algorithms for ultra low noise, low power consumption, and signal processing systems for biochip platforms and their applications;
  • architectures and algorithms for nano and micro control positioning of devices using micro sensors and micro actuators;
  • research on wireless systems for microelectrode stimulation and microelectrode sensing of biological signals (e.g. cortical prosthesis).