Магистратура
2021/2022
Цифровая обработка сигналов
Статус:
Курс по выбору (Интернет вещей и киберфизические системы)
Направление:
11.04.02. Инфокоммуникационные технологии и системы связи
Кто читает:
Департамент электронной инженерии
Когда читается:
2-й курс, 2 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
14
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Иванов Илья Александрович
Прогр. обучения:
Интернет вещей и киберфизические системы
Язык:
английский
Кредиты:
3
Контактные часы:
2
Course Syllabus
Abstract
Digital Signal Processing 1: Basic Concepts and Algorithms https://www.coursera.org/learn/dsp Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
Learning Objectives
- Digital Signal Processing is the branch of engineering that, in the space of just a few dec-ades, has enabled unprecedented levels of interpersonal communication and of on-demand enter-tainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Start-ing from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demon-stration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course. The course is based on MOOC “Digital Signal Processing” https://www.coursera.org/learn/dsp (Platform - Coursera.org)
Expected Learning Outcomes
- Advanced Fourier Analysis
- Basics of Digital Signal Processing
- Basics of Fourier Analysis
- Digital Communication Systems
- Image Processing , Real-time processing
- Introduction to Filtering
- ntroduction, manipulations Image Processing
- Sampling and Quantization
- Signal processing and vector spaces
Course Contents
- Module 1: Basics of Digital Signal Processing
- Module 2: Vector Spaces
- Module 3: Part 1 - Basics of Fourier Analysis
- Module 3: Part 2 - Advanced Fourier Analysis
- Module 4: Part 1 Introduction to Filtering
- Module 4: Part 2 Filter Design
- Module 5: Sampling and Quantization
- Module 6: Digital Communication Systems
- Module 7: Image Processing
Assessment Elements
- Самостоятельная работаThe results of the final testing must be provided no later than the start time of the exam in accordance with the schedule of the session. Lecture notes and presentations of practical exercises must be submitted no later than a week (7 calendar days) before the start of the exam in accordance with the session schedule. If the results of the final testing, lecture notes and presentation of practical exercises are not provided within the specified time, the final grade may be reduced by 1 point or more.
- Exam (Экзамен)The results of the final testing must be provided no later than the start time of the exam in accordance with the schedule of the session. Lecture notes and presentations of practical exercises must be submitted no later than a week (7 calendar days) before the start of the exam in accordance with the session schedule. If the results of the final testing, lecture notes and presentation of practical exercises are not provided within the specified time, the final grade may be reduced by 1 point or more.
Bibliography
Recommended Core Bibliography
- Unpingco, J. Python for Signal Processing. – Springer International Publishing, 2014. – 128 pp.
- Вадутов О. С. - ЭЛЕКТРОНИКА. МАТЕМАТИЧЕСКИЕ ОСНОВЫ ОБРАБОТКИ СИГНАЛОВ. Учебник и практикум для академического бакалавриата - М.:Издательство Юрайт - 2019 - 307с. - ISBN: 978-5-9916-6551-3 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/elektronika-matematicheskie-osnovy-obrabotki-signalov-433991
- Марков Ю. В., Боков А. С. ; под науч. ред. Никитина Н.П. - УСТРОЙСТВА ПРИЕМА И ОБРАБОТКИ СИГНАЛОВ: ПРОЕКТИРОВАНИЕ. Учебное пособие для вузов - М.:Издательство Юрайт - 2019 - 109с. - ISBN: 978-5-534-10132-4 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/ustroystva-priema-i-obrabotki-signalov-proektirovanie-429417
- Нефедов В. И., Сигов А. С. ; Под ред. Нефедова В.И. - РАДИОТЕХНИЧЕСКИЕ ЦЕПИ И СИГНАЛЫ. Учебник для СПО - М.:Издательство Юрайт - 2019 - 266с. - ISBN: 978-5-534-03409-7 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/radiotehnicheskie-cepi-i-signaly-433793
Recommended Additional Bibliography
- Pereyra, M. C., & Ward, L. A. (2012). Harmonic Analysis : From Fourier to Wavelets. Providence, R.I.: AMS. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=971297
- Белов Л. А. - РАДИОЭЛЕКТРОНИКА. ФОРМИРОВАНИЕ СТАБИЛЬНЫХ ЧАСТОТ И СИГНАЛОВ 2-е изд., пер. и доп. Учебник для бакалавриата и магистратуры - М.:Издательство Юрайт - 2019 - 229с. - ISBN: 978-5-534-09062-8 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/radioelektronika-formirovanie-stabilnyh-chastot-i-signalov-441251
- Осадченко В. Х., Волкова Я. Ю., Кандрина Ю. А. ; Под общ. ред. Осадченко В. Х. - ЭЛЕКТРОТЕХНИКА: ФИЛЬТРЫ ВЫСОКИХ И НИЗКИХ ЧАСТОТ. Учебное пособие для вузов - М.:Издательство Юрайт - 2019 - 80с. - ISBN: 978-5-9916-9936-5 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/elektrotehnika-filtry-vysokih-i-nizkih-chastot-438172
- Петров В.М. - Узкополосные управляемые фильтры для DWDM систем: учебное пособие - Издательство "Лань" - 2019 - ISBN: 978-5-8114-3665-1 - Текст электронный // ЭБС ЛАНЬ - URL: https://e.lanbook.com/book/115491