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    • Signal Processing

    Signal Processing Courses Online

    Master signal processing for analyzing and manipulating signals. Learn about filtering, Fourier transforms, and real-time signal processing.

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    Explore the Signal Processing Course Catalog

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Digital Communications, Image Analysis, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Programming Principles, Computer Engineering, Numerical Analysis, Advanced Mathematics, Algorithms, Linear Algebra, Systems Of Measurement, Mathematical Modeling, Calculus, Basic Electrical Systems, Python Programming, Applied Mathematics, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      777 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Programming Principles, Computer Engineering, Engineering Analysis, Advanced Mathematics, Numerical Analysis, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      621 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universitat Pompeu Fabra of Barcelona

      Audio Signal Processing for Music Applications

      Skills you'll gain: Open Source Technology, Python Programming, NumPy, Computer Programming Tools, Computer Programming, Algorithms, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 3 Months

    • Unlock Access to 10,000+ courses with a subscription.

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    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Cloud Computing, Augmented Reality, Application Development, Computer Science, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, ChatGPT, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronic Systems, Engineering Analysis, Numerical Analysis, Systems Of Measurement, Mathematical Modeling, Basic Electrical Systems, Applied Mathematics, Quantitative Research, Algorithms, Jupyter, Data Mapping, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      215 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Business Ethics, Application Development, Accountability, Compliance Training, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning, Project Design, Decision Making, Natural Language Processing, Machine Learning Methods, Corporate Strategy, Performance Tuning, Business Leadership

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Digital Communications, Image Analysis, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Computer Engineering, Linear Algebra, Python Programming, Real Time Data, Applied Mathematics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Medical Image Processing

      Skills you'll gain: Image Analysis, Radiology, Data Import/Export, Matlab, Visualization (Computer Graphics), Computer Vision, Deep Learning, Medical Science and Research, Treatment Planning, Artificial Intelligence and Machine Learning (AI/ML)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronic Systems, Numerical Analysis, Linear Algebra, Calculus, Mathematical Modeling, Time Series Analysis and Forecasting, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Capture, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      371 reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

      Signal Processing learners also search

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      In summary, here are 10 of our most popular signal processing courses

      • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
      • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
      • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
      • Introduction to Computer Vision and Image Processing: IBM
      • Introduction to Artificial Intelligence (AI): IBM
      • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
      • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
      • Introduction to Generative AI Learning Path: Google Cloud
      • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
      • Medical Image Processing: MathWorks

      Skills you can learn in Algorithms

      Graphs (22)
      Mathematical Optimization (21)
      Computer Program (20)
      Data Structure (19)
      Problem Solving (19)
      Algebra (12)
      Computer Vision (10)
      Discrete Mathematics (10)
      Graph Theory (10)
      Image Processing (10)
      Linear Algebra (10)
      Reinforcement Learning (10)

      Frequently Asked Questions about Signal Processing

      In the electrical engineering and machine learning industry, signal processing is the engine that models, processes, transmits, and analyzes voice, video, and audio data. Signal processing transfers and processes information as signals to represent data of physical events. Signal processing is at the core of today's modern technologies, involving voice, data, and video transmission. It’s the science that can foster communication between audio processing and data transmission.

      Signal processing has advanced rapidly in the digital revolution and many now refer to this field as digital signal processing (DSP). Digital signal processing is the process and mathematics involved in manipulating information in such a way as to modify or improve the information in some manner. This information signal could be a snippet of voice, audio, or video.‎

      Signal processing techniques are used in many of our analog and digital interactions today, and that makes it valuable to know. If you have a strong interest in understanding the connections of electronic data and the powering of our modern electronic devices, then learning about signal processing can help you expand your interests and curiosity. For example, signal processing is the science and technology behind what makes it possible for two people to speak on mobile phones using their voice.

      Signal processing lies at the heart of analog-to-digital conversion practices. This would include encoding signals from speech enhancement and speech encoding to speech decoding and speech enhancement speech on the digital-to-analog playback side. Experts in the field rely on signal processing as the tool of choice every step of the way.‎

      Some of the careers that you may be able to find work in as a result of learning signal processing or digital signal processing may include opportunities in chip design, antenna engineering, machine learning, artificial intelligence, RF design, telecoms, and instrumentation systems.

      Understanding the foundational elements of signal processing can propel you forward into a career for the future, like big data, machine learning, and augmented reality. As the world becomes more digital, signals continue to be processed in a digital manner in many of today's modern products.‎

      Taking online courses about signal processing can create a whole new way of thinking around the devices in use today. The signal processing industry is getting bigger every day. As it grows, it lays out new opportunities for learning in specific areas. Your knowledge of signal processing will enlighten you about the ways that voice, video, and data are captured, transmitted, and received by others. If you are seeking to move into the larger electrical engineering field with insights into signal processing, you will likely learn how data design and machine learning come together in new and wondrous ways.‎

      Online Signal Processing courses offer a convenient and flexible way to enhance your knowledge or learn new Signal Processing skills. Choose from a wide range of Signal Processing courses offered by top universities and industry leaders tailored to various skill levels.‎

      When looking to enhance your workforce's skills in Signal Processing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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