6 accepted papers
Efficient depth image reconstruction from sparse samples is crucial for machine perception applications, such as robotics, vehicle assistance and autonomy. It demands fast processing speed with low power consumption for sensing quality and safety, as well as cost reduction for FPGA and solid state i…
Via OFDM technology, FFT and Inverse FFT (IFFT) operators enable the latest 5G radio standards. In these latests standards, the behaviour of FFT and IFFT needs to be flexible, supporting sub-carrier spacings from 15kHz to 480kHz and point sizes of up to 4096 point. An FFT or IFFT accelerator for 5G…
Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-power operation on embedded processors is critical, but to date there has been no record of how existing EMG analysis app…
Sphere Decoding for Multiple-Input Multiple-Output (MIMO) wireless systems is a complex operation, usually demanding custom accelerators in order to support real-time performance. The cost of these accelerators is disproportionately influenced by channel matrix preprocessing, which represents a rela…
This paper presents a unique real-time motion recognition system for Electromyographic (EMG) signal acquisition and classification. It is the first approach which can classify hand poses from multi-channel EMG signals gathered from randomly placed arm sensors as accurately as current placed-sensor E…
The increasing pervasion and scale of machine learning technologies is posing fundamental challenges for their realisation. In the main, current algorithms are centralised, with a large number of processing agents, distributed across parallel processing resources, accessing a single, very large data…