Signal Processing Fundamentals and Applications for Communications Sensing Systems

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Bol Partner This volume covers signal-processing fundamentals for communications and major sensing systems. Based on the author's earlier book in this area, this revised and expanded resource offers guidance in the detection of optical, acoustic and radio-frequency signals in noise. This volume covers signal-processing fundamentals for communications and major sensing systems. Based on the author's earlier book in this area, this revised and expanded resource offers guidance in the detection of optical, acoustic and radio-frequency signals in noise. It covers digital filtering, parameter estimation and problems associated with radar-system design, including search and tracking. This practical resource is applicable to optical, electrical, communications, radar, sonar and laser radar, including the medical applications of ultrasound. It should be of interest to scientists, research and development engineers, technical managers, university professors and students involved with signal processing, and anyone involved with the use of sensing systems for scientific, commercial or military applications.

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This volume covers signal-processing fundamentals for communications and major sensing systems. Based on the author's earlier book in this area, this revised and expanded resource offers guidance in the detection of optical, acoustic and radio-frequency signals in noise. This volume covers signal-processing fundamentals for communications and major sensing systems. Based on the author's earlier book in this area, this revised and expanded resource offers guidance in the detection of optical, acoustic and radio-frequency signals in noise. It covers digital filtering, parameter estimation and problems associated with radar-system design, including search and tracking. This practical resource is applicable to optical, electrical, communications, radar, sonar and laser radar, including the medical applications of ultrasound. It should be of interest to scientists, research and development engineers, technical managers, university professors and students involved with signal processing, and anyone involved with the use of sensing systems for scientific, commercial or military applications.


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