{"product_id":"signals-and-systems-theory-and-practical-explorations-with-python-hardcover","title":"Signals and Systems: Theory and Practical Explorations with Python - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eFatos Tunay Yarman Vural\u003c\/b\u003e (Author), \u003cb\u003eEmre Akbas\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntroductory course textbook on signals and systems with numerous examples and code snippets implemented in Python\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSupported by code examples, \u003ci\u003eSignals and Systems: Theory and Practical Explorations with Python\u003c\/i\u003e is a textbook resource for a complete introductory course in systems and signals, enabling readers to run Python programs for convolution, discrete time Fourier transforms and series, sampling, and interpolation for a wide range of functions. Readers are guided step-by-step through basic differential equations, basic linear algebra, and calculus to ensure full comprehension of the exercises. \u003c\/p\u003e\u003cp\u003eThis book is supported by a companion website, hosting interactive material to draw functions, and run programs in Python; it is enriched with audiovisual material via linking to related videos. Links to resources that provide a deeper explanation about the important concepts in the book, such as the systems approach, complex numbers, harmony, the Euler equation, and Hilbert spaces, are also included. \u003c\/p\u003e\u003cp\u003eWritten by two highly qualified academics, topics covered in \u003ci\u003eSignals and Systems\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSystems approach for modeling the natural and manmade systems and some application areas\u003c\/li\u003e \u003cli\u003eRepresentation of complex and real signals by basic functions, such as, real and complex exponentials, unit step and unit impulse functions\u003c\/li\u003e \u003cli\u003eProperties of signals, such as symmetry, harmony, energy, power, continuity and discreteness\u003c\/li\u003e \u003cli\u003eConvolution and correlation operations for continuous time and discrete time signals and systems\u003c\/li\u003e \u003cli\u003eRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations\u003c\/li\u003e \u003cli\u003eProperties of systems, such as linearity, time invariance, memory, invertibility, stability and causality\u003c\/li\u003e \u003cli\u003eContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform\u003c\/li\u003e \u003cli\u003eFiltering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filters.\u003c\/li\u003e \u003cli\u003eSampling theorems for continuous time and discrete time systems, covering A\/D and D\/A conversion, sampling and interpolation.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSignals and Systems\u003c\/i\u003e is an ideal textbook resource for a one semester introductory course on signals and systems for upper level undergraduate and graduate students in computer science, electrical engineering and data science. It is also a useful reference for professionals working in bioinformatics, robotics, remote sensing, and related fields.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntroductory course textbook on signals and systems with numerous examples and code snippets implemented in Python\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSupported by code examples, \u003ci\u003eSignals and Systems: Theory and Practical Explorations with Python\u003c\/i\u003e is a textbook resource for a complete introductory course in systems and signals, enabling readers to run Python programs for convolution, discrete time Fourier transforms and series, sampling, and interpolation for a wide range of functions. Readers are guided step-by-step through basic differential equations, basic linear algebra, and calculus to ensure full comprehension of the exercises. \u003c\/p\u003e\u003cp\u003eThis book is supported by a companion website, hosting interactive material to draw functions, and run programs in Python; it is enriched with audiovisual material via linking to related videos. Links to resources that provide a deeper explanation about the important concepts in the book, such as the systems approach, complex numbers, harmony, the Euler equation, and Hilbert spaces, are also included. \u003c\/p\u003e\u003cp\u003eWritten by two highly qualified academics, topics covered include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSystems approach for modeling the natural and manmade systems and some application areas\u003c\/li\u003e \u003cli\u003eRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functions\u003c\/li\u003e \u003cli\u003eProperties of signals, such as symmetry, harmony, energy, power, continuity and discreteness\u003c\/li\u003e \u003cli\u003eConvolution and correlation operations for continuous time and discrete time signals and systems\u003c\/li\u003e \u003cli\u003eRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations \u003c\/li\u003e \u003cli\u003eProperties of systems, such as linearity, time invariance, memory, invertibility, stability and causality\u003c\/li\u003e \u003cli\u003eContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform \u003c\/li\u003e \u003cli\u003eFiltering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filters\u003c\/li\u003e \u003cli\u003eSampling theorems for continuous time and discrete time systems, covering A\/D and D\/A conversion, sampling and interpolation\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSignals and Systems \u003c\/i\u003eis an ideal textbook resource for a one semester introductory course on signals and systems for upper level undergraduate and graduate students in computer science, electrical engineering and data science. It is also a useful reference for professionals working in bioinformatics, robotics, remote sensing, and related fields.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFatoş Tunay Yarman Vural\u003c\/b\u003e is a Professor in the Department of Computer Engineering at Middle East Technical University, Turkey. She is a Senior Member of the IEEE and received her PhD from Princeton University, USA, in 1981. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eEmre Akbaş\u003c\/b\u003e is an Associate Professor in the Department of Computer Engineering at Middle East Technical University, Turkey. Dr. Akbaş received his PhD from the University of Illinois at Urbana-Champaign, USA, in 2011.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 448\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 31, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43153834606655,"sku":"9781394215751","price":207.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/F2YWljlBZ39781394215751.webp?v=1776951270","url":"https:\/\/dhlswag.com\/products\/signals-and-systems-theory-and-practical-explorations-with-python-hardcover","provider":"BBB","version":"1.0","type":"link"}