Addition units are widely used in many computational kernels of several error-tolerant
applications such as machine learning and signal, image, and video processing. Besides …

Capturing signals without noise and interference while monitoring the maternal abdomen's
fetal electrocardiogram (FECG) is a challenging task. This method can provide fetal …

Electroencephalogram (EEG) is a biomedical technique for capturing the human brain's
electrical information to process its activities and actions. EEG is one of the main methods …

The division datapath is undoubtedly the most complex operation in a wide range of digital
signal processing applications, such as in adaptive filtering algorithms. This paper proposes …

This work proposes to optimize iterative-based dividers for a natural logarithm operator
design. The logarithm operator approximates the function at the base e. Such an operator is …

Efficient Kalman filter (KF) designs for real-time mobile applications, such as nano-drones
navigation, robots localization, spacecraft orbit control, GPS positioning, image recognition …

Division is generally regarded as a low-frequency, high-latency operation in integer
operations. Division is also the operation that stalls the processor pipeline most frequently …

The Kalman filter is a signal processing algorithm that plays an essential role in real-time
mobile applications as nano drones navigation, spacecraft orbit control, GPS positioning …

As the most complex computation in the fundamental matrix manipulation, the operation of
matrix inversion limits the processing capability in the field of the image recognition and the …

Adaptive filtering plays an essential role in digital signal processing (DSP), being present in
many application fields such as noise reduction, telecommunication, and audio signal …