With the fast development of Internet of Things (IoTs) in recent years, many IoT applications,
such as structure health monitoring, surveillance camera and etc, require both extensive …

This brief presents an energy-and area-efficient discrete wavelet packet transform (DWPT)
processor design for power-constrained and cost-sensitive healthcare-monitoring …

An energy-efficient sensor node processor (SNP) is presented for intelligent sensing in
Internet of Things (IoT) applications. To achieve ultralow energy consumption and satisfying …

Many image/video processing algorithms require FIFO for filtering. The FIFO size is
proportional to the length of the filters and input data width, causing large area and power …

There has been a growing need for deploying machine learning algorithms such as
convolutional neural networks (CNNs) on resource-constrained edge platforms to enable on …

Most of the Biomedical applications use dedicated processors for the implementation of
complex signal processing. Among them, sensor network is also a type, which has the …

Voltage scalable decoupled SRAMs operating at a subthreshold region have various
challenges, such as deteriorated read bitline (RBL) swing resulting in read sensing failure …

Mobile society is opening the way to “Always-On” future where we are constantly connected
to everything we care about, which allows us to do “Anything”,“Anytime”, from “Anywhere” …

In this work a digital peripheral that can measure pulse transit time for central blood pressure
estimation is presented. To do so, it processes ECG and BCG signals in real time by …

This paper proposes a power and area efficient Laplacian Pyramid processing engine
(LPPE) for real-time portable image/video processing applications. On the architecture level …