Introduction To Digital Signal Processing [Hardcover]

Digital signal processing refers to the science and practice of using digital processes like in computers to perform operations related to signal processing. It is closely related to analog signal processing. The fundamental applications of this field are in biomedical engineering, digital image processing, sensor array processing, statistical signal processing, speech signal processing, radar, seismic data processing, etc. This book elucidates new techniques and their applications in a multidisciplinary approach. Such selected concepts that redefine this field have been presented in it. Coherent flow of topics, student-friendly language and extensive use of examples make this textbook an invaluable source of knowledge for the students.Digital signal processing refers to the science and practice of using digital processes like in computers to perform operations related to signal processing. It is closely related to analog signal processing. The fundamental applications of this field are in biomedical engineering, digital image processing, sensor array processing, statistical signal processing, speech signal processing, radar, seismic data processing, etc. This book elucidates new techniques and their applications in a multidisciplinary approach. Such selected concepts that redefine this field have been presented in it. Coherent flow of topics, student-friendly language and extensive use of examples make this textbook an invaluable source of knowledge for the students.Digital signal processing refers to the science and practice of using digital processes like in computers to perform operations related to signal processing. It is closely related to analog signal processing. The fundamental applications of this field are in biomedical engineering, digital image processing, sensor array processing, statistical signal processing, speech signal processing, radar, seismic data processing, etc. This book elucidates new techniques and their applications in a multidisciplinarl#‡