Machine learning (ML) has increasingly been recently employed to provide solutions for
difficult tasks, such as image and speech recognition, and tactile data processing achieving …

Malicious programs, or malware, often use code obfuscation techniques to make static
analysis difficult. To deal with this problem, various behavioral detection techniques have …

Approximate computing circuits are considered as a promising solution to reduce the power
consumption in embedded data processing. This paper proposes an FPGA implementation …

Enabling touch-sensing capability would help appliances understand interaction behaviors
with their surroundings. Many recent studies are focusing on the development of electronic …

The eigen-decomposition of a covariance matrix is a key step in the Direction of Arrival
(DOA) estimation algorithms such as subspace classes. Eigen-decomposition using the …

This article proposes a low-latency parallel Jacobi-method-based algorithm for computing
eigenvalues and eigenvectors of-sized real-symmetric matrix. It is a coordinate rotations …

Computation accuracy can be adequately tuned on the specific application requirements in
order to reduce power consumption. To give some examples, image processing and …

Implementing Singular-Value Decomposition (SVD) in real time is a requirement in wireless
communications. Pure-software solutions are not likely to provide a satisfactory computing …

In wired communications, where the data is transmitted over a wired medium, the received
signals are of high fidelity at any time. For this reason, wired communications have innate …

Massive multiple input multiple output (MIMO) technology plays an important role in next
generation wireless communication systems. Modified Brent-Luk-Van Loan array and other …