Isbn: 9781394215751 - signals and systems: theory and practical explorations with python (23 resultados)

Hardcover. Condición: new. Hardcover. Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: Systems approach for modeling the natural and manmade systems and some application areasRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functionsProperties of signals, such as symmetry, harmony, energy, power, continuity and discretenessConvolution and correlation operations for continuous time and discrete time signals and systemsRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causalityContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filtersSampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Condición: New. pp. 480 1st edition NO-PA16APR2015-KAP.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. pp. 480.

Condición: As New. Unread book in perfect condition.

Condición: new.

Condición: New.

Condición: New.

Hardcover. Condición: new. Hardcover. Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: Systems approach for modeling the natural and manmade systems and some application areasRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functionsProperties of signals, such as symmetry, harmony, energy, power, continuity and discretenessConvolution and correlation operations for continuous time and discrete time signals and systemsRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causalityContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filtersSampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Hardback. Condición: New. Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: Systems approach for modeling the natural and manmade systems and some application areasRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functionsProperties of signals, such as symmetry, harmony, energy, power, continuity and discretenessConvolution and correlation operations for continuous time and discrete time signals and systemsRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causalityContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filtersSampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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.…

Hardcover. Condición: new. Hardcover. Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: Systems approach for modeling the natural and manmade systems and some application areasRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functionsProperties of signals, such as symmetry, harmony, energy, power, continuity and discretenessConvolution and correlation operations for continuous time and discrete time signals and systemsRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causalityContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filtersSampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. 2025. 1st Edition. hardcover. . . . . .

Condición: New. &Uumlber den AutorFatos Tunay Yarman Vural 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.

Condición: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardback. Condición: New. Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: Systems approach for modeling the natural and manmade systems and some application areasRepresentation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functionsProperties of signals, such as symmetry, harmony, energy, power, continuity and discretenessConvolution and correlation operations for continuous time and discrete time signals and systemsRepresentation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causalityContinuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filtersSampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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.…

Buch. Condición: Neu. Neuware - Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python 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. This 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. Written by two highly qualified academics, topics covered include: - Systems approach for modeling the natural and manmade systems and some application areas - Representation of complex and real signals by basic functions, such as real and complex exponentials, unit step and unit impulse functions - Properties of signals, such as symmetry, harmony, energy, power, continuity and discreteness - Convolution and correlation operations for continuous time and discrete time signals and systems - Representation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations - Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causality - Continuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform - Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filters - Sampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation Signals and Systems 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.…

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: Brand New. 480 pages. 7.24x1.14x10.20 inches. In Stock. This item is printed on demand.

Condición: New. PRINT ON DEMAND pp. 480.