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...

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

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

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

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

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...

The MPEG-1 Layer III (MP3) algorithm is one of the most successful audio formats for consumer aud...

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

In sensor network applications, measured data are often meaningful only when the location is accu...

Image understanding has been playing an increasingly crucial role in several inverse problems and...

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

Master algorithms and standards for transparent coding of high-fidelity audio Here is an in-depth...