Vahid Asadpour

University of California Los Angeles

Vahid Asadpour is currently with Photonic Laboratory of University of California Los Angeles (UCLA). He graduated from Polytechnic University of Tehran achieving M.S. and PH.D. degree in biomedical engineering. He was a visiting professor and researcher at University of North Dakota (UND). He is working in the field of artificial intelligence and machine learning and their applications in digital signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. He developed brain computer interfacing algorithms and published one book chapter and several journal and conference papers in this field and other areas of intelligent signal processing. Adding to his professional experimental skills, he also designed medical devices including a laser Doppler monitoring system and therapeutic drug estimation algorithm. He is also affiliated with Polytechnic University of Sadjad.

1books edited

1chapters authored

Latest work with IntechOpen by Vahid Asadpour

This book provides an approach toward the applications and principle theory of digital signal processing in modern intelligent systems, biological engineering, telecommunication, and information technology. Assuming the reader already has prior knowledge of signal processing theory, this book will be useful for finding novel methods that fit special needs in digital signal processing (DSP). The combination of signal processing and intelligent systems in hybrid structures rather than serial or parallel processing provide the best mechanism that is a better fit with the comprehensive nature of human. This book is a practical reference that places the emphasis on principles and applications of DSP in digital systems. It covers a broad area of digital systems and applications of machine learning methods including convolutional neural networks, evolutionary algorithms, adaptive filters, spectral estimation, data compression and functional verification. The level of the book is ideal for professional DSP users and useful for graduate students who are looking for solutions to their design problems. The theoretical principles provide the required base for comprehension of the methods and application of modifications for the special needs of practical projects.

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