Processamento Digital de Sinais - Amostragem from Coursera

What's inside

Syllabus

Introdução

Nesse módulo, veremos uma introdução geral do curso. Descreveremos brevemente todos os problemas que serão estudados, motivaremos as soluções que serão apresentadas.

Senóides Contínuas

Neste módulo, faremos uma breve revisão de sinais senoidais a tempo contínuo. Veremos que todo sinal na prática podem ser escritos como uma combinação de sinais senoidais. A vantagem disso é que em muitos casos, como na amostragem, é muito fácil ver o que um sistema faz com uma senóide. Usando o fato de que tudo é uma combinação de senóides, fica então fácil ver o que o sistema faz com um sinal qualquer.

Senóides Discretas

Nesse módulo, veremos as senóides a tempo discreto. Como no caso contínuo, também podemos construir qualquer sinal prático como combinação de senóides. Mas as senóides discretas possuem alguma particularidades. Em particular, veremos que existe uma maior frequência possível para a senóide discreta, e que alguns sinais de diferentes frequências podem ser indistinguíveis. Esse fenômeno está intimamente ligado, por exemplo, ao fato de que a roda de um carro de fórmula 1 parece que está parada na transmissão da TV.

Amostragem

Nesse módulo, estudaremos em detalhe a amostragem, o processo que converte um sinal analógico em um sinal digital. Isso é o que é feito, por exemplo, em uma câmera digital e na gravação de um áudio em um smartphone. Veremos primeiramente o que ocorre quando o sinal amostrado é uma senóide. Com isso, poderemos modelar o aliasing, a principal distorção introduzida no processo. A partir desse modelo, poderemos especificar sistemas que diminuem o impacto dessa distorção.

Reconstrução

Nesse módulo, estudaremos a reconstrução, o processo que transforma um sinal digital em um sinal analógico. Veremos como podemos modelar esse processo e, a partir desse modelo, como podemos especificar filtros que minimizem as distorções resultantes.

Conclusão

Esse módulo traz um resumo de tudo o que foi visto no curso. Nesse apanhado geral, veremos a principal conclusão da amostragem, chamada de teorema de amostragem: se a taxa de amostragem e os filtros forem adequadamente escolhidos, é possível recuperar perfeitamente um sinal a partir de suas amostras.

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Examines sampling, which is a fundamental component of digital technology used in smartphones, audio recording, and photography

Taught by Renato da Rocha Lopes, a recognized expert in the field of digital signal processing

Develops a strong theoretical foundation in digital signal processing

Teaches practical methods for implementing digital signal processing algorithms

Provides hands-on experience through labs and assignments

Requires a strong foundation in mathematics and digital signal processing

Reviews summary

Beginner-friendly intro to digital signal processing

This well-received course clarifies fundamental concepts in digital signal processing through engaging examples and clear explanations. Students of all backgrounds can benefit from its beginner-friendly nature.

Engaging explanations make learning enjoyable.

"Ótima diadática do professor. Parabéns e muito obrigado"

"Professor Renato com uma excelente didática e empenho para passar o conhecimento"

Great course for beginners in digital signal processing.

"Acredito que mesmo a pessoa que não seja da área consegue entender muito bem os conceitos apresentados devido aos exemplos didáticos e intuitivos de situações cotidianas"

Course clarifies fundamental concepts.

"Esclareceu pontos que não foram explicados na faculdade com essa didática"

"Excelente conteúdo, com explicações perfeitas para o entendimento, inclusive à alunos que não tenham cursado a disciplina em outro curso especifico"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Processamento Digital de Sinais - Amostragem with these activities:

Organizar materiais do curso

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Organizar seus materiais de curso ajudará você a revisar o conteúdo e identificar áreas que precisam de mais atenção.

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Baixar e imprimir todos os materiais do curso.
Criar um sistema de arquivamento para organizar os materiais.
Analisar os materiais e identificar os tópicos principais.

Revise senoid functions

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Reviewing senoid functions will strengthen your mathematical foundation for understanding sampling.

Browse courses on Trigonometry

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Revisit the definition of senoid functions.
Practice plotting senoid functions.
Solve problems involving senoid functions.

Explore sampling online tutorials

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Seeking out additional resources on sampling will deepen your understanding of the concepts covered in the course.

Browse courses on Sampling

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Search for reputable online tutorials on sampling.
Identify tutorials that cover specific aspects of sampling you'd like to learn more about.
Follow the tutorials, taking notes and experimenting with the concepts presented.

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Solve sampling problems

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Solving problems related to sampling will help you solidify your understanding of the process and its applications.

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Find practice problems on sampling.
Attempt to solve the problems on your own.
Check your solutions against provided answers or consult with an expert if needed.

Career center

Learners who complete Processamento Digital de Sinais - Amostragem will develop knowledge and skills that may be useful to these careers:

Signal Processing Engineer

Signal Processing Engineers design, develop, and implement signal processing algorithms and systems. This course in digital signal processing and sampling will provide you with the foundational knowledge and practical skills needed to succeed in this role, enabling you to develop and enhance signal processing systems used in various industries.

See salaries and explore the career path for Signal Processing Engineer

Audio Engineer

An Audio Engineer employs knowledge of sound and acoustics to design, install and maintain audio equipment in a variety of fields including recording studios, live sound reinforcement systems, theaters, and broadcasting facilities. This course "Processamento Digital de Sinais - Amostragem" can be highly useful in equipping you for this role, which regularly involves sampling, digitizing, and processing audio signals, utilizing techniques covered in this course.

See salaries and explore the career path for Audio Engineer

Imaging Scientist

Imaging Scientists apply their knowledge of optics and signal processing to develop and improve medical imaging technologies, such as MRI and CT scans. This course in digital signal processing provides a solid foundation in the fundamentals of DSP, which is essential for Imaging Scientists working with digital signals, including sampled signals.

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Telecommunications Engineer

Telecommunications Engineers design, develop, and maintain telecommunications systems, including those used for transmitting digital signals. This course in digital signal processing and sampling will help build a foundation in the fundamentals of DSP, which is essential for Telecommunications Engineers working with digital signals, including sampled signals.

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Data Scientist

Data Scientists leverage their backgrounds in math, statistics, and computer science to extract meaningful insights from data. Though data science often involves working with large datasets, many data science projects begin with smaller, sampled datasets. This course in digital signal processing and sampling would be a valuable asset to any Data Scientist looking to enhance their skills in handling, processing, and analyzing sampled data.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. Many applications of machine learning involve the use of sampled data. This course in digital signal processing will help build a solid foundation in the fundamentals of DSP, which can be applied to machine learning tasks involving sampled data.

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Robotics Engineer

Robotics Engineers design, build, and maintain robots, many of which use digital signals to control their movement and interact with their environment. This course in digital signal processing and sampling will help build a foundation in the fundamentals of DSP, which is essential for Robotics Engineers working with digital signals, including sampled signals.

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Medical Physicist

Medical Physicists apply their knowledge of physics to develop and use medical imaging technologies, such as MRI and CT scans. This course in digital signal processing and sampling will help build a foundation in the fundamentals of DSP, which is critical for Medical Physicists working with digital signals, including sampled signals.

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Network Engineer

Network Engineers design, implement, and maintain computer networks. This course in digital signal processing will help build a foundation in the fundamentals of DSP, which is essential for Network Engineers working with digital signals, including sampled signals.

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Electrical Engineer

Electrical Engineers design, develop, test, and supervise the installation of electrical systems and components. This course in digital signal processing will help build a foundation in the fundamentals of DSP, which is critical for Electrical Engineers working with digital signals, including sampled signals.

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Multimedia Artist

Multimedia Artists use a variety of media, including digital signals, to create art. This course in digital signal processing and sampling will help build a foundation in the fundamentals of DSP, which is essential for Multimedia Artists working with digital signals, including sampled signals.

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Geophysicist

Geophysicists study the Earth's physical properties and processes using methods such as seismic imaging, which often involves sampling and analyzing signals. This course in digital signal processing and sampling will help build a solid foundation for those looking to enter this field.

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Forensic Scientist

Forensic Scientists analyze and interpret physical evidence in criminal investigations by applying their knowledge in the physical and natural sciences. As part of their work, Forensic Scientists may need to analyze signals and images, which can be enhanced using digital signal processing techniques, making this course a good fit for those who wish to pursue this career path.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course in digital signal processing and sampling may be helpful for Software Engineers working on multimedia applications and other domains that involve the processing of sampled signals.

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Web Developer

Web Developers design and develop websites and web applications. This course in digital signal processing and sampling may be helpful for Web Developers working on multimedia applications and other web applications that involve digital signals.

See salaries and explore the career path for Web Developer