Tang-Jung Chiu

  • Citations Per Year
Learn More
Real-time recognition of multichannel, continuous-time physiological signals has been crucial for the development of implantable biomedical devices. This work investigates the feasibility of using the diffusion network, a stochastic recurrent neural network, to recognise continuous-time biomedical signals. In addition, a hardware-friendly approach for(More)
Biological neurons seem able to compute with noise reliably, or even to use noise to achieve probabilistic inference. This paper introduces two neuro-inspired algorithms and their implementation in the Very Large Scale Integration (VLSI). By generalising data variability with noise, the algorithms are able to classify noisy data more reliably. The VLSI(More)
A highly integrated 2.4-GHz class F power amplifier using TSMC 0.35mum 3P3M standard SiGe BiCMOS process is presented. This amplifier integrates both the input matching network and output fundamental and third harmonic loading networks onto the chip. Additional fine tuning output circuit is implemented outside the chip for some flexibility. Measurement(More)
  • 1