Fourier Analysis A Signal Processing Approach

Fourier Analysis   A Signal Processing Approach
Author: D. Sundararajan
Publsiher: Springer
Total Pages: 359
Release: 2018-07-25
Genre: Computers
ISBN: 9789811316937

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This book sheds new light on Transform methods, which dominate the study of linear time-invariant systems in all areas of science and engineering, such as circuit theory, signal/image processing, communications, controls, vibration analysis, remote sensing, biomedical systems, optics and acoustics. It presents Fourier analysis primarily using physical explanations with waveforms and/or examples, only using mathematical formulations to the extent necessary for its practical use. Intended as a textbook for senior undergraduates and graduate level Fourier analysis courses in engineering and science departments, and as a supplementary textbook for a variety of application courses in science and engineering, the book is also a valuable reference for anyone – student or professional – specializing in practical applications of Fourier analysis. The prerequisite for reading this book is a sound understanding of calculus, linear algebra, signals and systems, and programming at the undergraduate level.

Fourier Analysis A Signal Processing Approach

Fourier Analysis   A Signal Processing Approach
Author: D. Sundararajan
Publsiher: Springer
Total Pages: 359
Release: 2018-08-06
Genre: Computers
ISBN: 9811316929

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This book sheds new light on Transform methods, which dominate the study of linear time-invariant systems in all areas of science and engineering, such as circuit theory, signal/image processing, communications, controls, vibration analysis, remote sensing, biomedical systems, optics and acoustics. It presents Fourier analysis primarily using physical explanations with waveforms and/or examples, only using mathematical formulations to the extent necessary for its practical use. Intended as a textbook for senior undergraduates and graduate level Fourier analysis courses in engineering and science departments, and as a supplementary textbook for a variety of application courses in science and engineering, the book is also a valuable reference for anyone – student or professional – specializing in practical applications of Fourier analysis. The prerequisite for reading this book is a sound understanding of calculus, linear algebra, signals and systems, and programming at the undergraduate level.

Discrete Systems and Digital Signal Processing with MATLAB

Discrete Systems and Digital Signal Processing with MATLAB
Author: Taan S. ElAli,Taan ElAli
Publsiher: CRC Press
Total Pages: 688
Release: 2003-09-29
Genre: Technology & Engineering
ISBN: 9780203487112

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Books on linear systems typically cover both discrete and continuous systems together in one book. However, with coverage of this magnitude, not enough information is presented on either of the two subjects. Discrete linear systems warrant a book of their own, and Discrete Systems and Digital Signal Processing with MATLAB provides just that. It offers comprehensive coverage of both discrete linear systems and signal processing in one volume. This detailed book is firmly rooted in basic mathematical principles, and it includes many problems solved first by using analytical tools, then by using MATLAB. Examples that illustrate the theoretical concepts are provided at the end of each chapter.

Matlab

Matlab
Author: Emilson Pereira Leite
Publsiher: A B M Nasiruzzaman
Total Pages: 442
Release: 2010
Genre: MATLAB.
ISBN: 9789533071251

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Matrix Theory and Applications with MATLAB

Matrix Theory and Applications with MATLAB
Author: Darald J. Hartfiel
Publsiher: CRC Press
Total Pages: 384
Release: 2000-11-28
Genre: Mathematics
ISBN: 1584881089

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Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text. All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology. Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their own.

Business Economics and Finance with MATLAB GIS and Simulation Models

Business Economics and Finance with MATLAB  GIS  and Simulation Models
Author: Patrick L. Anderson
Publsiher: CRC Press
Total Pages: 500
Release: 2004-07-27
Genre: Mathematics
ISBN: 9780203494653

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This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

A Guide to MATLAB

A Guide to MATLAB
Author: Brian R. Hunt,Ronald L. Lipsman,Jonathan M. Rosenberg
Publsiher: Cambridge University Press
Total Pages: 317
Release: 2014-08-21
Genre: Computers
ISBN: 9781107662223

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"MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages"--

PSPICE and MATLAB for Electronics

PSPICE and MATLAB for Electronics
Author: John Okyere Attia
Publsiher: CRC Press
Total Pages: 382
Release: 2011-06-03
Genre: Science
ISBN: 9781439859711

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Used collectively, PSPICE and MATLAB® are unsurpassed for circuit modeling and data analysis. PSPICE can perform DC, AC, transient, Fourier, temperature, and Monte Carlo analysis of electronic circuits with device models and subsystem subcircuits. MATLAB can then carry out calculations of device parameters, curve fitting, numerical integration, numerical differentiation, statistical analysis, and two- and three-dimensional plots. PSPICE and MATLAB® for Electronics: An Integrated Approach, Second Edition illustrates how to use the strong features of PSPICE and the powerful functions of MATLAB for electronic circuit analysis. After introducing the basic commands and advanced features of PSPICE as well as ORCAD schematics, the author discusses MATLAB fundamentals and functions. He then describes applications of PSPICE and MATLAB for problem solving. Applications covered include diodes, operational amplifiers, and transistor circuits. New to the Second Edition Updated MATLAB topics Schematic capture and text-based PSPICE netlists in several chapters New chapter on PSPICE simulation using the ORCAD schematic capture program New examples and problems, along with a revised bibliography in each chapter This second edition continues to provide an introduction to PSPICE and a simple, hands-on overview of MATLAB. It also demonstrates the combined power of PSPICE and MATLAB for solving electronics problems. The book encourages readers to explore the characteristics of semiconductor devices using PSPICE and MATLAB and apply the two software packages for analyzing electronic circuits and systems.

MATLAB for Engineering and the Life Sciences

MATLAB for Engineering and the Life Sciences
Author: Joseph Tranquillo
Publsiher: Springer Nature
Total Pages: 121
Release: 2022-05-31
Genre: Technology & Engineering
ISBN: 9783031793394

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In recent years, the life sciences have embraced simulation as an important tool in biomedical research. Engineers are also using simulation as a powerful step in the design process. In both arenas, Matlab has become the gold standard. It is easy to learn, flexible, and has a large and growing userbase. MATLAB for Engineering and the Life Sciences is a self-guided tour of the basic functionality of MATLAB along with the functions that are most commonly used in biomedical engineering and other life sciences. Although the text is written for undergraduates, graduate students and academics, those in industry may also find value in learning MATLAB through biologically inspired examples. For instructors, the book is intended to take the emphasis off of learning syntax so that the course can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use Matlab toolboxes. Throughout, biomedical examples are used to illustrate MATLAB's capabilities. Table of Contents: Introduction / Matlab Programming Environment / Vectors / Matrices / Matrix -- Vector Operations / Scripts and Functions / Loops / Conditional Logic / Data In, Data Out / Graphics / Toolboxes

Beginning MATLAB and Simulink

Beginning MATLAB and Simulink
Author: Sulaymon Eshkabilov
Publsiher: Apress
Total Pages: 524
Release: 2019-11-28
Genre: Computers
ISBN: 9781484250617

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Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. What You Will LearnGet started using MATLAB and SimulinkCarry out data visualization with MATLABGain the programming and modeling essentials of MATLABBuild a GUI with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB for data science projects Who This Book Is For Engineers, programmers, data scientists, and students majoring in engineering and scientific computing.

Computer Application in Electronic Engineering MATLAB

Computer Application in Electronic Engineering  MATLAB
Author: Shohreh Monshizadeh,Azita Monshizadeh
Publsiher: Anchor Academic Publishing
Total Pages: 80
Release: 2016-07
Genre: Computers
ISBN: 9783960670001

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MATLAB is a numeric computation software for engineering and scientific calculations. MATLAB is increasingly being used by students, researchers, practicing engineers and technicians. The causes of MATLAB popularity are legion. Among them are its iterative mode of operation, built-in functions, simple programming, rich set of graphing facilities, possibilities for writing additional functions, and its extensive toolboxes. This book explains everything you need to know to begin using MATLAB to do all these things and more. Intermediate and advanced users will find useful information here, especially if they are making the switch to MATLAB 7 from an earlier version. The book is divided into five parts: Introduction to MATLAB, Calculation and graphs, Programming in MATLAB, Simulation with MATLAB, and Circuit analysis applications using MATLAB.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB SIMULINK

Computational Intelligence Paradigms for Optimization Problems Using MATLAB   SIMULINK
Author: S. Sumathi,L. Ashok Kumar,Surekha. P
Publsiher: CRC Press
Total Pages: 601
Release: 2018-09-03
Genre: Technology & Engineering
ISBN: 9781498743723

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Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

An Engineer s Introduction to Programming with MATLAB 2019

An Engineer s Introduction to Programming with MATLAB 2019
Author: Shawna Lockhart,Eric Tilleson
Publsiher: SDC Publications
Total Pages: 256
Release: 2019-06
Genre: Computers
ISBN: 9781630572921

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This book accomplishes two things simultaneously: it teaches you to use the latest version of the powerful MATLAB programming environment, and it teaches you core, transferable programming skills that will make you feel at home with most procedural programming languages. MATLAB has been in existence for more than 30 years and is used by millions of engineers, scientists, and students worldwide, both for its depth and its easy usability. With dozens of specialized toolboxes available beyond the core program, as well as its companion program Simulink for simulation and model-based design, MATLAB can serve as an invaluable aid throughout your career. Unlike many MATLAB books, ours assumes no prior experience in computer programming. Using an approachable tone, we take you from the simplest variables through complex examples of data visualization and curve fitting. Each chapter builds on the last, presenting an in-depth tutorial on a focused concept central to programming, using the MATLAB language, but applicable to countless other popular and in-demand languages such as C++, Java, JavaScript, R, and Python. We'll ask you to perform short exercises as we work through each chapter, followed by more end-to-end exercises and mental challenges at the chapter's end. As the complexity of the concepts increases, the exercises present increasingly real-world engineering challenges to match. Once you've completed An Engineer's Introduction to Programming with MATLAB 2019, you will have a solid foundation in computer programming forms and concepts and a comfort with the MATLAB environment and programming language. We believe that you'll enjoy both gaining and having that knowledge, and that you'll be able to use it almost immediately with your other coursework. Videos The authors of this book have recorded instructional videos to accompany this book. These videos allow you to see many of the instructions given in the tutorials being executed in MATLAB itself. These videos should be of particular help to visual learners. This book includes • Step-by-step tutorials written to help the novice user become proficient using MATLAB • A Getting Started chapter for configuring MATLAB for use with the tutorials • Organization and a level suitable for a first year introductory engineering course • Updates for the MATLAB 2019a release. • Tips offering suggestions and warnings as you progress through the book • Key Terms and Key Commands listed to recap important topics and commands learned in each tutorial • An index to help you easily look up topics • Exercises at the end of each tutorial providing challenges to a range of abilities.

Fuzzy Image Processing and Applications with MATLAB

Fuzzy Image Processing and Applications with MATLAB
Author: Tamalika Chaira,Ajoy Kumar Ray
Publsiher: CRC Press
Total Pages: 237
Release: 2017-12-19
Genre: Technology & Engineering
ISBN: 9781351834216

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In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing. The distinguished authors clearly lay out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge detection, content-based image retrieval, pattern recognition, and clustering. They describe all components of fuzzy, detailing preprocessing, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on MATLAB and demonstrates how to implement it in fuzzy image processing methods. It illustrates how the code can be used to improve calculations that help prevent or deal with imprecision—whether it is in the grey level of the image, geometry of an object, definition of an object’s edges or boundaries, or in knowledge representation, object recognition, or image interpretation. The text addresses these considerations by applying fuzzy set theory to image thresholding, segmentation, edge detection, enhancement, clustering, color retrieval, clustering in pattern recognition, and other image processing operations. Highlighting key ideas, the authors present the experimental results of their own new fuzzy approaches and those suggested by different authors, offering data and insights that will be useful to teachers, scientists, and engineers, among others.

MATLAB Recipes for Earth Sciences

MATLAB   Recipes for Earth Sciences
Author: Martin H. Trauth
Publsiher: Springer Nature
Total Pages: 517
Release: 2020-12-02
Genre: Science
ISBN: 9783030384418

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MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.