Matlab using

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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, builtin functions, simple programming, rich set of graphing facilities, possibilities for writing additional functions, and its extensive toolboxes.
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This worksheet is an introduction on how to handle images in Matlab. When working with images in Matlab, there are many things to keep in mind such as loading an image, using the right format, saving the data as different data types, how to display an image, conversion between different image formats, etc. This worksheet presents some of the commands designed for these operations. Most of these commands require you to have the Image processing tool box installed with Matlab.
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In this chapter, we will introduce you to the tools you need in order to begin using MATLAB effectively. These include the following: some relevant information on computer platforms and software; installation protocols; how to launch MATLAB, enter commands and use online help; a roster of MATLAB’s various windows; and finally, how to exit the program. We know you are anxious to get started using MATLAB, so we will keep this chapter brief. After you complete it, you can go immediately to Chapter 2 to find concrete and simple instructions for using MATLAB to do mathematics.
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Theoretically the Kalman Filter is an estimator for what is called the linearquadratic problem, which is the problem of estimating the instantaneous ``state'' (a concept that will be made more precise in the next chapter) of a linear dynamic system perturbed by white noiseÐby using measurements linearly related to the state but corrupted by white noise. The resulting estimator is statistically optimal with respect to any quadratic function of estimation error
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The discussion turns now to what might be called Kalman ®lter engineering, which is that body of applicable knowledge that has evolved through practical experience in the use and misuse of the Kalman ®lter. The material of the previous two chapters (extended Kalman ®ltering and squareroot ®ltering) has also evolved in this way and is part of the same general subject.
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After providing the basic background in electromagnetic theory necessary to utilize the software, the author of Ebook Antenna and EM Modeling with Matlab describes the benefits and many practical uses of the Matlab. Sergey Makarov's text utilizes the widely used Matlab(r) software, which offers a more flexible and affordable alternative to other antenna and electromagnetic modeling tools currently available.
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CHAPTER FOCUS Estimation Problem This is the problem of estimating the state of a linear stochastic system by using measurements that are linear functions of the state. We suppose that stochastic systems can be represented by the types of plant and measurement models (for continuous and discrete time) shown as Equations 4.1±4.5 in Table 4.1, with dimensions of the vector and matrix quantities as shown in Table 4.2.
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With its active, handson learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms.
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This is the first book in a threevolume series deploying MATLABbased applications in almost every branch of science. This volume, presents interesting topics from different areas of engineering, signal and image processing based on the MATLAB environment. The book consists of 20 excellent, insightful articles and the readers will find the results very useful to their work. This collection of high quality articles, refers to a large range of professional fields and may be used for scientific, engineering and educational purposes....
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This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easytofollow fashion. Numerous examples are provided in each chapter to illustrate the concepts. The book includes complementary software written in MATLAB SIMULINK to give readers handson experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms....
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This supplement to any standard communication systems text is one of the first books to successfully integrate the use of MATLAB? in the study of communication systems concepts and problems. It has been developed for instructors and students who wish to make use of MATLAB? as an integral part of their study. The former will find the means by which to use MATLAB? as a powerful tool to motivate students and illustrate essential theory without having to customize the applications themselves; the latter will find relevant problems quickly and easily.
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MATLAB is a software package used primarily in the field of engineering for signal processing, numerical data analysis, modeling, programming, simulation, and computer graphic visualization. In the last few years, it has become widely accepted as an efficient tool, and, therefore, its use has significantly increased in scientific communities and academic institutions. This book consists of 20 chapters presenting research works using MATLAB tools.
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Speech and hearing are closely linked human abilities. It could be said that human speech is optimised toward the frequency ranges that we hear best, or perhaps our hearing is optimised around the frequencies used for speaking. However whichever way we present the argument, it should be clear to an engineer working with speech transmission and processing systems that aspects of both speech and hearing must often be considered together in the field of vocal communications. However, both hearing and speech remain complex subjects in their own right. Hearing particularly so....
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"Introduction to Matlab for Engineers" is a simple, concise book designed to be useful for beginners and to be kept as a reference. Matlab is a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined, and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. Animation and Sound in Matlab
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Starting MATLAB Startup Options You can define startup options for MATLAB, which instruct MATLAB to perform certain operations upon startup. There are two ways to specify startup options for MATLAB: • “Using the Startup File for MATLAB, startup.m” on page 15 • “Adding Startup Options for Windows Platforms” on page 15 or “Adding Startup Options for UNIX Platforms” on page 17 Using the Startup File for MATLAB, startup.m At startup, MATLAB automatically executes the master Mfile matlabrc.m and, if it exists, startup.m. The file matlabrc.
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(BQ) Ebook An Introduction to Programming and Numerical Methods in MATLAB provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with matlab which allows rapid prototyping and testing of the methods. The package matlab (matrix laboratory) pro vides an environment in which students can learn to programme and explore the structure of the numerical methods.
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Matlab is one of the most widely used computational tools in science and engineering. No matter what your background—be it physics, chemistry, math, or engineering—it would behoove you to at least learn the basics of this powerful tool.There are three good reasons to learn a computational mathematics tool.
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Elementary Functions and Some of Their Uses Mục đích của chương này là để minh họa và xây dựng một số thực hành trong việc sử dụng các chức năng cơ bản trong các vấn đề kỹ thuật được lựa chọn điện cơ bản. Chúng tôi cũng xây dựng các chức năng tín hiệu một số đơn giản mà bạn sẽ gặp phải trong phân tích kỹ thuật và các vấn đề thiết kế trong tương lai. Nó là điều cần thiết để xem xét bổ sung vào cuối của cuốn sách này trong trường hợp bạn muốn để...
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Root Solving and Optimization MethodsTrong chương này, trước tiên chúng ta tìm hiểu một số kỹ thuật số tiểu học và sử dụng các lệnh fsolve fzero từ thư viện MATLAB để có được những nguồn gốc thực sự (số không) của một chức năng tùy ý. Sau đó, chúng tôi thảo luận việc sử dụng của các gốc lệnh MATLAB cho việc tìm kiếm các nguồn gốc của một đa thức.
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