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Titlebook: Hands-on Signals and Systems Theory; Kajetana Marta Snopek Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive

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發(fā)表于 2025-3-21 17:45:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hands-on Signals and Systems Theory
編輯Kajetana Marta Snopek
視頻videohttp://file.papertrans.cn/424/423995/423995.mp4
概述Presents the necessary theory accompanied with a number of solved original problems.Presents continuous-time and discrete-time signals and systems and their use in solving analytically different probl
圖書封面Titlebook: Hands-on Signals and Systems Theory;  Kajetana Marta Snopek Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive
描述.This textbook presents the theory of continuous-time and discrete-time signals and systems and shows how it can be used to solve analytically different problems. The book is dedicated to engineering students who are interested in mathematical methods used to solve real technical problems connected with signals and systems. The book covers, both in continuous- and in discrete domains, analysis of signals in time domain; orthogonal signal representation including Fourier series; convolution and correlation of signals; analysis of signals in the frequency domain and signal sampling, including aliasing and stroboscopic effects, among others. The author also emphasizes the role of Fourier-, one-sided Laplace- and one-sided Z transformations in signals and systems. Chosen methods of analog and digital filter design and stability criteria of analog and digital filters are also described. The author presents the necessary theory in the form of a concise “l(fā)ecture” accompanied with a number of solved original problems. Every chapter ends with examples of complete solutions with explanation and necessary graphical visualization (graphs, schemes etc.)..
出版日期Textbook 2024
關(guān)鍵詞signals and systems; Laplace transform; system theory; Fourier transform; signal theory; Fourier series; Z
版次1
doihttps://doi.org/10.1007/978-3-031-56081-1
isbn_softcover978-3-031-56083-5
isbn_ebook978-3-031-56081-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Frequency Analysis of Continuous-Time Signals,a continuous-time periodic signal. The reader will get familiar with notions of amplitude-, phase- and power density spectra of periodic signals and will learn how to calculate the average power of periodic signals using Parseval’s equality. Then we introduce the Fourier transform (FT) of energy sig
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Analysis of Systems in Time Domain,crete-time systems and their basic features: causality, linearity, and time-invariance. We introduce two functions characterizing a system in time domain, that is, . and . of an LTI (linear time-invariant) system. Equations describing LTI continuous- and discrete-time systems are presented. We will
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Analysis of Analog Systems in Frequency Domain,tems (analog filters) in frequency domain. The reader will get to know different types of ideal and real analog filters (low-pass, high-pass, band-pass, and band-stop). The notion of the frequency response function of an analog filter is introduced. We will show how spectrum characteristics of a sig
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Sampling and Frequency Representation of Discrete-Time Signals,in the form of an infinite set of signal samples. We will introduce the notion of the . and formulate the . theorem. Focused on a periodic spectrum of the sampled signal, we will show the consequences of the . which occurs if the sampling frequency is too small, that is, smaller than the . defined a
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,–Transformation in Discrete–Time LTI Systems,nce input-output equations of discrete-time systems (see Chap. .). We start with the definition and basic properties of the one-sided .–transformation. A table containing some useful .–transforms is also included. In the next part, using the convolution theorem, we introduce the . of a digital filte
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vestigate if this effect also occurs in human-computer interaction and impacts on User Experience (UX). We induced differences in the subjective passage of time by dividing the participants (n?=?61) into three groups. Although all participants performed the same tasks for 10?min, the groups received
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