9786139955398 - Compressive Sensing for Image Reconstruction: Using Matched Wavelet de Sivappagari, Chandra Mohan Reddy (6 resultados)

Paperback. Condición: Brand New. 8.66x5.91x0.20 inches. In Stock.

Taschenbuch. Condición: Neu. Compressive Sensing for Image Reconstruction | Using Matched Wavelet | Chandra Mohan Reddy Sivappagari | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139955398 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis. 68 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sivappagari Chandra Mohan ReddyDr. Chandra Mohan Reddy Sivappagari is working as an Associate Professor in the Department of Electronics and Communication Engineering, JNTUA College of Engineering (Autonomous), Pulivendula, A.P., Ind.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.