Design and Verification of a New Universal Active Filter Based on the Current Feedback Operational Amplifier and Commercial AD844 Integrated Circuit.

This paper presents a triple-input and four-output type voltage-mode universal active filter based on three current-feedback operational amplifiers (CFOAs). The filter employs three CFOAs, two grounded capacitors, and six resistors. The filter structure has three high-input and three low-output impedances that simultaneously provide band-reject, high-pass, low-pass, and band-pass filtering functions with single-input and four-output type and also implements an all-pass filtering function by connecting three input signals to one input without the use of voltage inverters or switches.

Pre-Computing Batch Normalisation Parameters for Edge Devices on a Binarized Neural Network.

Binarized Neural Network (BNN) is a quantized Convolutional Neural Network (CNN), reducing the precision of network parameters for a much smaller model size. In BNNs, the Batch Normalisation (BN) layer is essential. When running BN on edge devices, floating point instructions take up a significant number of cycles to perform.

Power management design for lab-on-chip biosensors.

Over the past decades, we have witnessed the growth demands of portable lab-on-chip biosensors. These lab-on-chip devices are mostly powered by battery, and intelligent power management systems are required to provide supply voltage for different functional units on biosensors (e.g.