Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Data compression (Computer science) --- Compression of data (Computer science) --- Compression of files (Computer science) --- Compression of text (Computer science) --- File compression (Computer science) --- Text compression (Computer science) --- Coding theory --- Database management --- File organization (Computer science) --- Data compression (Telecommunication)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.

Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Technology - General --- Applied Physics --- Coding theory. --- Data compression (Telecommunication) --- Signal processing --- Sampling (Statistics) --- Digital techniques. --- Random sampling --- Statistics of sampling --- Digital signal processing --- Compression of data (Telecommunication) --- Computer science. --- Computer graphics. --- Computer mathematics. --- Statistical physics. --- Dynamical systems. --- Computer Science. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Signal, Image and Speech Processing. --- Statistical Physics, Dynamical Systems and Complexity. --- Computational Science and Engineering. --- Statistics --- Mathematical statistics --- Digital communications --- Digital electronics --- Data compression (Computer science) --- Data transmission systems --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Computer vision. --- Complex Systems. --- Statistical Physics and Dynamical Systems. --- Physics --- Informatics --- Science --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Statistical methods --- Optical data processing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computer mathematics --- Electronic data processing --- Mathematics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment