An in-depth treatment of algorithms and standards for perceptual coding of high-fidelity audio, t...

The area of detection and estimation in a distributed wireless sensor network (WSN) has several a...

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measu...

This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The a...

This book introduces basic machine learning concepts and applications for a broad audience that i...

Autonomous vehicles use global navigation satellite systems (GNSS) to provide a position within a...

Although the solar energy industry has experienced rapid growth recently, high-level management o...

Machine learning and artificial intelligence (AI) are powerful tools that create predictive model...

This book provides an introduction to narrowband array signal processing, classical and subspace-...

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the ...

The efficiency of solar energy farms requires detailed analytics and information on each panel re...

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measu...