|Series||Berichte aus dem Lehrstuhl für Netzwerktheorie und Schaltungstechnik der Technischen Universität München,|
|LC Classifications||TK5102.9 .H32 1997|
|The Physical Object|
|Pagination||x, 139 p. :|
|Number of Pages||139|
|LC Control Number||98183605|
Efficient One-, Two-, and Multidimensional High-Resolution Array Signal Processing Shaker Verlag Aachen Contents Acknowledgments v List of Tables x Abstract 1 1. Introduction 3 ESPRIT-Type Algorithms 3 Overview and Contributions 4 Notation 8 2. The Standard ESPRIT Algorithm 9. Dissertation: Efficient One-, Two-, and Multidimensional High-Resolution Array Signal Processing. Mathematics Subject Classification: 94—Information and communication, circuits. Advisor: Josef Anton Nossek. Students: Click here to see the students listed in chronological order. Name. PDF | On Jan 4, , Bayan Sabbar published High resolution array signal processing | Find, read and cite all the research you need on ResearchGate. High-resolution signal processing is encountered in a wide range of applications, which include in particular localization of objects in certain medium. The medium could be space, air, land, water, or even living tissues. The importance of high-resolution signal processing is indeed recognized in such ﬁelds as astronomy, radar.
Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced. Fundamentals of Array Signal Processing INTRODUCTION The robust design of an adaptive array system is a multi-disciplinary process, where component technologiesinclude: signal processing, transceiverdesign, array design, antenna element design, and signal propagation characteristics. The . +1 to @Rob, but pedantically, only the first one is a multi-dimensional array. The second is (a pointer to) an array of pointers to arrays (of pointers to arrays). – Ben Voigt Apr 11 '11 at The most efficient method of implementing multi-dimensional arrays is by utilizing one-dimensional arrays as multi-dimensional arrays. See this answer about mapping a 2D array into a 1D array. // 2D data structure as 1D array int array = new int[width * height]; // access the array array[x + .
Special Issue on Array Signal Processing and Systems. Issue Editors: Bin Liao, Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation. High resolution 3D imaging in MIMO radar with sparse array. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview. Multi-dimensional Array Operations for Signal Processing Algorithms Paolo Bientinesi, Nikos P. Pitsianis, and Xiaobai Sun two or higher dimensional array accesses at one memory level. Finally, we identify one may map a high-dimensional array to a lower-dimensional memory by data. John W. Woods, in Multidimensional Signal, Image, and Video Processing and Coding (Second Edition), This chapter applies and extends the generalization of multidimensional signal processing to the 3-D and spatiotemporal cases to processing the 3-D signal that is video—two spatial dimensions plus one time dimension. It discusses the general interframe or cross-frame processing .