Basic Transforms For Electrical Engineering
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Basic Transforms for Electrical Engineering
The textbook covers the most popular transforms used in electrical engineering along with the mathematical foundations of the transforms, uniquely bringing together the two in a single text. Geared towards an upper-undergraduate or graduate-level class, the book covers the most-used transforms including Fourier, Laplace, Discrete Fourier, z-, short-time Fourier, and discrete cosine transforms. The book includes the complex numbers, complex functions, and complex integration that are fundamental to understand the transforms. The author strives to make the study of the subject approachable by appealing to the use of popular software like LabVIEW virtual instruments, Matlab m-files, and C programming resources. Computer projects at the end of chapters further enhance the learning process. The book is based on the author’s years of teachıng Engineering Mathematics and Signal courses and can be used in both electrical engineering and mathematics curriculum. Presents both electrical engineering transforms and their mathematical foundations in an understandable, pedagogical, and applicable approach; Covers the most common transforms for electronics and communications engineers including Laplace transform, the Fourier transform, STFT, the z-transform; Features LabVIEW virtual instrument (vi) files, LTSpice simulation files, MATLAB m files, and computer projects in the chapter problems.
Basic Transforms for Electrical Engineering
The textbook covers the most popular transforms used in electrical engineering along with the mathematical foundations of the transforms, uniquely bringing together the two in a single text. Geared towards an upper-undergraduate or graduate-level class, the book covers the most-used transforms including Fourier, Laplace, Discrete Fourier, z-, short-time Fourier, and discrete cosine transforms. The book includes the complex numbers, complex functions, and complex integration that are fundamental to understand the transforms. The author strives to make the study of the subject approachable by appealing to the use of popular software like LabVIEW virtual instruments, Matlab m-files, and C programming resources. Computer projects at the end of chapters further enhance the learning process. The book is based on the author's years of teachıng Engineering Mathematics and Signal courses and can be used in both electrical engineering and mathematics curriculum. Presents both electrical engineering transforms and their mathematical foundations in an understandable, pedagogical, and applicable approach; Covers the most common transforms for electronics and communications engineers including Laplace transform, the Fourier transform, STFT, the z-transform; Features LabVIEW virtual instrument (vi) files, LTSpice simulation files, MATLAB m files, and computer projects in the chapter problems.
Information-Measuring Systems
This book concentrates on virtual IMS with the use of modern information and measurement modeling technologies. Modern IMS can be implemented as: real hardware and software measuring tools; virtual IMS with the use of modern information and measurement modeling technologies, including simulation, mathematical, physical, with extensive use of computer equipment for conducting a simulation measurement experiment. Compared to real ones, virtual IMS has a number of advantages, and their implementation requires less time, production, and financial costs. However, in a number of cases, due to the information uncertainty of the object of measurement, such IMS cannot provide objective and reliable results, and therefore, it is necessary to conduct a full-scale measurement experiment using real systems. The potential capabilities of modern systems at the stage of information development of society have increased significantly, which contributes both to the expansion of the subject areas of their application and their use to increase the efficiency of known and solve new scientific and applied measurement tasks. The authors are in solidarity with other colleagues—specialists in measurements—in the forecasts of the development of IMS. No improvements in measurement information technologies, including computer and intellectual ones, have not led, are not leading, and obviously cannot lead in future to the expansion of the nomenclature of measurements of quantities while there are no corresponding sensors that form primary information during their direct interaction with the research object. Further development of IMS and their use in various fields of science and technology, including quantum metrology and nanotechnology, will largely be determined by the development of new principles of operation and the creation of new types of sensors based on them.