Digital signal processing techniques and applications in radar image processing

  • 338 Pages
  • 4.77 MB
  • 6731 Downloads
  • English
by
John Wiley , Hoboken, N.J
Signal processing -- Digital techniques, Remote se
StatementBu-Chin Wang.
SeriesWiley series on information and communications technologies
Classifications
LC ClassificationsTK5102.9 .W36 2008
The Physical Object
Paginationxxviii, 338 p. :
ID Numbers
Open LibraryOL22664993M
ISBN 100470180927
ISBN 139780470180921
LC Control Number2008004941

Digital Signal Processing Techniques and Applications in Radar Image Processing serves as an ideal textbook for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar by: Digital Signal Processing Techniques and Applications in Radar Image Processing (Information and Communication Technology Series, Book 91) - Kindle edition by Wang, Bu-Chin.

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Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Digital Signal Processing Techniques and Applications in Radar Image 4/4(1).

The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are processed. Digital signal processing techniques and applications in radar image processing / Bu-Chin Wang.

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Signal processing—Digital techniques. Remote sensing. Title. TKW36 78–dc22 Printed in the United States of America 10 9 File Size: 9MB. A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images Author: Bu-Chin Wang. Book Digital signal processing techniques and applications in radar image processing book Bu‐Chin Wang.

Search for more papers by this author Digital Signal Processing Techniques and Applications in Radar Image Processing. Related; Information; Close Figure Viewer. Browse All Figures Return to Figure. Previous Figure Next Figure.

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Caption. Additional links. Radar Systems and Signal Processing History and Applications of Radar The word “radar” was originally an acronym, RADAR, for “radio detection and ranging.” Today, the technology is so common that the word has become a standard English noun.

Many people have direct personal experience with radar in such applications as measuring. A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images Reviews: 2. The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are : Bu-Chin Wang. Purchase Digital Signal Processing and Applications - 2nd Edition. Print Book & E-Book. ISBNDigital signal processing traditionally has been very useful in the areas of measurement and analysis in two different ways.

One is to precondition the measured signal by rejecting the disturbing noise and interference or to help interpret the properties of collected data by. Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice.

Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. Download [PDF] Digital Signal Processing Techniques and Applications in Radar Image Processing (Information Ebook Free [PDF] Digital Signal Processing Techniques and Applications in Radar Image Processing (Information PDF Online.

Digital Signal Processing Techniques (An Introduction) In the previous section we established a link between the digital techniques that we have been using (so far only "running means") and the wider world of filters and so on.

What we did there can be derived directly from the File Size: KB. Advanced Techniques for Radar Signal Processing This special issue arises from the spread of low-cost radar sensors and processing units which offer an extended range of applications.

However, such technology is also available for inappropriate actions as terrorist attacks. Signal Processing.

The analysis, interpretation and manipulation of signals. Processing of such signals includes storage and reconstruction, separation of information from noise (e.g., aircraft identification by radar), compression (e.g., image compression), and feature extraction (e.g., speech-to-text conversion).

In addition to this, various design techniques for design of IIR and FIR filters are discussed. Multi-rate digital signal processing and introduction to digital signal processors and finite word length effects on digital filters are also covered.

All the solved and unsolved problems in this book are designed to illustrate the topics in a clear s: 3. This book presents the fundamentals of Digital Signal Processing using examples from common science and engineering problems. While the author believes that the concepts and data contained in this book are accurate and correct, they should not be used in any application without proper verification by the person making the application.

Signal processing is an electrical engineering subfield that focuses on analysing, modifying, and synthesizing signals such as sound, images, and scientific measurements. Signal processing techniques can be used to improve transmission, storage efficiency and subjective quality and to also emphasize or detect components of interest in a measured signal.

What is Digital Signal Processing. The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibrations, and countless other applications.

Digital Signal Processing is the science of using computers to understand these types of data. The signal processing task is a very critical issue in the majority of new technological inventions and challenges in a variety of applications in both science and engineering fields.

Classical signal processing techniques have largely worked with mathematical models that are linear, local, stationary, and Gaussian. They have always favored closed-form tractability over real-world accuracy Cited by: Practical Applications in Digital Signal Processing begins with a review of basic DSP concepts such as frequency and sampling of sinusoidal waveforms.

Clear diagrams accompany equations and the narrative, as the author describes the quantification and digitization of a waveform from both a theoretical and practical perspective. A self-contained approach to DSP techniques and applications in radar imagingThe processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images.

This book brings together material from these different areas to allow readers to Cited by: Bring the power and flexibility of C++ to all your DSP applications The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications.

Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field. The book presents an approach to block and recursive data processing systems are useful in many applicationsof digital signal processing such as communication, radar, or for.

Radar. A survey on applications in Digital Signal Processing in Radar from a wide variety of areas is carried out. A review is done on basic approaching models and techniques of signal processing for different parameters and extracting information from the received signal.

The various techniques adopted at different stages of radar to obtain. Sincehe has been with the Microwaves and Radar Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany, where he was a Research Associate developing signal processing algorithms for a novel forward-looking radar system employing digital beamforming on receive.

The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can Availability: Live.

Applications of these techniques are now prevalent in such diverse areas as biomedical engineering, acoustics, sonar, radar, seismology, speech communication, telephony, nuclear science, image processing and many others.

This set of lectures corresponds to a one-semester introduction to digital signal processing fundamentals. It is intended. Read Now Photonic Signal Processing: Techniques and Applications (Optical Science and Engineering). digital creations. I began my digital design career when digital signal processing (DSP) was still in its infancy.

In those days, all digital designs were implemented with small-scale integrated (SSI) circuits that weren’t much more sophis-ticated than 4-bit adders and 8- to 1-bit multiplexers.

The first company IFile Size: KB.Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.

eim, y and Nawab, Signals and Systems, 2/e, PHI, S K Mitra, Digital Signal Processing, 3/e, TMH, John G. Proakis and Dimitris G.