Fourier Transform Signal Processing and Physical Sciences

DSP

Digital Image Processing, 3rd Edition
“Fourier Transform: Signal Processing and Physical Sciences” ed. by Salih Mohammed Salih
Digital Signal Processing Using MATLAB (3rd edition) By Vinay K Ingle, John G. Proakis
Nonlinear Biomedical Signal Processing: Dynamic Analysis and Modeling, Volume 2 By Metin Akay
Linear Time-Invariant Systems

Digital Image Processing, 3rd Edition

English | 2007 | ISBN: 013168728X | 976 pages | PDF | 62.11 MB

THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing

“Fourier Transform: Signal Processing and Physical Sciences” ed. by Salih Mohammed Salih

InTAvE | 03 June, 2015 | ISBN: 9535121278 9789535121275 | 218 pages | PDF | 7 MB

This book focuses on signal processing and physical sciences. The book provides applications oriented to signal processing and physics written primarily for engineers, mathematicians, physicians and graduate students, will also find it useful as a reference for their research activities.
The book chapters are related to fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation satellite system, determining the sensitivity of output parameters based on FFT, convergence of integrals of products based on Riemann-Lebesgue Lemma function, extending the real and complex number fields for treating the FT, nonmaterial structure, Gabor transform, and chalcopyrite bioleaching.
Contents
Preface
1 Jacket Matrix Based Recursive Fourier Analysis and Its Applications
2 Efficient FFT-based Algorithms for Multipath Interference Mitigation in GNSS
3 Use of Fast Fourier Transform for Sensitivity Analysis
4 Henstock-Kurzweil Integral Transforms and the Riemann-Lebesgue Lemma
5 Double Infinitesimal Fourier Transform
6 Experimental Data Deconvolution Based on Fourier Transform Applied in Nano materia I Structure
7 Gabor-Fourier Analysis
8 Minera logical Characterization of Chalcopyrite Bio leaching

Digital Signal Processing Using MATLAB (3rd edition) By Vinay K Ingle, John G. Proakis

2011 | 652 Pages | ISBN: 1111427372 | PDF | 7 MB

In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.

Nonlinear Biomedical Signal Processing: Dynamic Analysis and Modeling, Volume 2 By Metin Akay

2000 | 362 Pages | ISBN: 0780360125 | PDF | 11 MB

Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers.

Linear Time-Invariant Systems

English | 2002 | ISBN: 0471231452 | 384 pages | PDF | 13.68 MB

A new and practical approach to understanding system theory The modern development of engineering and science requires a deep understanding of the basic concepts of system theory. Approaching the subject from a system, rather than an application-oriented perspective, world-renowned system expert Martin Schetzen provides practicing engineers and scientists, as well as students, with a solid, clearly explained foundation in the fundamentals of linear time-invariant (continuous) system theory. Developing linear systems from a functional viewpoint, the book is noteworthy for its presentation of:
* The time-domain theory of continuous time linear time-invariant (LTI) systems
* System transfer function, gain, and phase-shift
* An original development of the Fourier transform, the unilateral and bilateral Laplace transforms, and their inverses from a system theory viewpoint
* Basic filter analysis and design techniques from the s-plane viewpoint
* Feedback systems and their stability, interconnected systems, and block diagram reduction
* The state-variable approach to system analysis and its advantages for certain problems
Taking an original, highly useful approach to system theory, Linear Time-Invariant Systems lays a solid foundation for further study of system modeling, control theory, filter theory, discrete system theory, state-variable theory, and other subjects requiring a system viewpoint. An Instructor’s Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.