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Сергиенко Александр Борисович
Курс разработан Санкт-Петербургским государственным электротехническим университетом «ЛЭТИ» им. В.И. Ульянова при поддержке Санкт-Петербургского политехнического университета Петра Великого. «Сигналы и системы дискретного времени» — первый из нескольких...
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Курс разработан Санкт-Петербургским государственным электротехническим университетом «ЛЭТИ» им. В.И. Ульянова при поддержке Санкт-Петербургского политехнического университета Петра Великого. «Сигналы и системы дискретного времени» — первый из нескольких курсов специализации, посвященной цифровой обработке сигналов. Современная цифровая обработка сигналов — сложная и многогранная область техники. Чтобы разобраться в ней, нужно прежде всего понять базовые принципы, о которых и пойдет речь в этом курсе. В нем всего две темы. Первая из них посвящена дискретным сигналам, в ней мы поговорим о том, что такое дискретное время, откуда берутся дискретные сигналы, как они анализируются, из каких элементарных кирпичиков складываются и каким образом попадают обратно в окружающий нас физический мир. Во второй теме мы перейдем от сигналов к системам, предназначенным для их обработки, и посмотрим, как эти системы классифицируются, какими характеристиками обладают и как именно изменяют проходящие через них сигналы. Это те основы, глубокое понимание которых необходимо для освоения и грамотного использования более сложных методов обработки сигналов, речь о которых пойдет в следующих курсах специализации. Цель курса : сформировать у слушателей представление о базовых принципах обработки сигналов в дискретном времени. В результате обучения слушатели будут: * Знать основы теории дискретных сигналов и систем. * Понимать законы преобразования сигналов в дискретных системах. * Уметь выполнять расчеты, связанные с анализом дискретных сигналов и систем, а также с прохождением сигналов через такие системы.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers essential principles of digital signal processing, laying a solid foundation for further exploration
Taught by instructors from renowned universities, ensuring high-quality instruction
Provides a deep understanding of discrete signals and systems, which are fundamental to digital signal processing
Emphasizes practical skills through calculations and analysis, preparing learners to apply concepts in real-world scenarios
Part of a specialization, offering a structured path for learners to develop expertise in digital signal processing
Course requires a strong foundation in mathematics, particularly in linear algebra and calculus

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Reviews summary

Excellent foundations in signal processing

Цифровая обработка сигналов Часть 1 is an excellent course for building foundational knowledge in signal processing. Dr. Alexander Borisovich Sotskov does a great job at explaining complex topics in a clear and concise manner. While the course requires a strong mathematical foundation, the practical assignments and labs help students to apply the material and reinforce their understanding. Overall, this course is highly recommended for anyone looking to gain a solid understanding of digital signal processing.
Practical assignments and labs reinforce learning.
"разнообразные практические задачи, лабораторные работы очень сильно помогают этот материал закрепить и систематизировать."
Clear and engaging explanations by Dr. Sotskov.
"Александр Борисович великолепно учит, просто и понятно объясняет сложные вещи."
Makes complex topics approachable.
"Отличный курс. Мне этот курс помог вспомнить много забытых вещей, а так же понять различные темы такие как, например, z-преобразование, которые до этого были мне не очень понятны."
Requires a strong understanding of mathematics.
"Серьезный курс. Требует уверенного знания математики в объеме двух курсов инженерных специальностей."

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Career center

Learners who complete Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени will develop knowledge and skills that may be useful to these careers:
Signal Processing Engineer
Signal Processing Engineers design, develop, and implement systems that process signals. These systems are used in a variety of applications, such as telecommunications, medical imaging, and radar. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie signal processing. This course will help you develop the skills you need to succeed as a Signal Processing Engineer.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. These models are used to solve a variety of problems, such as image recognition, natural language processing, and fraud detection. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie machine learning. This course will help you develop the skills you need to succeed as a Machine Learning Engineer.
Data Scientist
Data Scientists use a variety of techniques to analyze data and extract insights. These techniques include statistical modeling, machine learning, and data visualization. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie these techniques. This course will help you develop the skills you need to succeed as a Data Scientist.
Communications Engineer
Communications Engineers design, develop, and implement systems that transmit and receive information. These systems are used in a variety of applications, such as telecommunications, networking, and broadcasting. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie communications engineering. This course will help you develop the skills you need to succeed as a Communications Engineer.
Audio Engineer
Audio Engineers design, develop, and operate audio systems. These systems are used in a variety of applications, such as music production, broadcasting, and sound reinforcement. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie audio engineering. This course will help you develop the skills you need to succeed as an Audio Engineer.
Network Engineer
Network Engineers design, develop, and implement networks that connect computers and other devices. These networks are used in a variety of applications, such as telecommunications, business, and education. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie network engineering. This course will help you develop the skills you need to succeed as a Network Engineer.
Systems Engineer
Systems Engineers design, develop, and implement systems that integrate hardware and software components. These systems are used in a variety of applications, such as telecommunications, aerospace, and defense. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie systems engineering. This course will help you develop the skills you need to succeed as a Systems Engineer.
Control Systems Engineer
Control Systems Engineers design, develop, and implement systems that control the behavior of physical systems. These systems are used in a variety of applications, such as robotics, manufacturing, and transportation. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie control systems engineering. This course will help you develop the skills you need to succeed as a Control Systems Engineer.
Embedded Systems Engineer
Embedded Systems Engineers design, develop, and implement systems that are embedded in devices such as cars, medical devices, and industrial equipment. These systems are typically responsible for controlling the behavior of the device and communicating with other devices. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie embedded systems engineering. This course will help you develop the skills you need to succeed as an Embedded Systems Engineer.
Robotics Engineer
Robotics Engineers design, develop, and implement robots. These robots are used in a variety of applications, such as manufacturing, healthcare, and space exploration. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie robotics engineering. This course will help you develop the skills you need to succeed as a Robotics Engineer.
Computer Vision Engineer
Computer Vision Engineers design, develop, and implement systems that enable computers to interpret images and videos. These systems are used in a variety of applications, such as medical imaging, robotics, and autonomous vehicles. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie computer vision. This course will help you develop the skills you need to succeed as a Computer Vision Engineer.
Software Engineer
Software Engineers design, develop, and implement software applications. These applications are used in a variety of industries, such as business, healthcare, and education. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie software engineering. This course will help you develop the skills you need to succeed as a Software Engineer.
Test Engineer
Test Engineers design, develop, and implement tests to ensure that hardware and software products meet specifications. These tests are essential for ensuring the quality and reliability of products. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie test engineering. This course will help you develop the skills you need to succeed as a Test Engineer.
Power Systems Engineer
Power Systems Engineers design, develop, and implement systems that generate, transmit, and distribute electricity. These systems are essential for providing power to homes, businesses, and industries. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie power systems engineering. This course will help you develop the skills you need to succeed as a Power Systems Engineer.
Security Engineer
Security Engineers design, develop, and implement systems that protect computers and networks from unauthorized access and attack. These systems are essential for protecting data and preventing cybercrime. Цифровая обработка сигналов Часть 1. Сигналы и системы дискретного времени provides a strong foundation in the mathematical and computational principles that underlie security engineering. This course will help you develop the skills you need to succeed as a Security Engineer.

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