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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: Mathematics, Mathematical Theory & Analysis, Algebra, Linear Algebra, Plot (Graphics), Algorithms, Applied Mathematics, Critical Thinking, Calculus

      4.5
      Rating, 4.5 out of 5 stars
      ·
      764 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Applied Mathematics, Calculus, Critical Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      612 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: Computer Programming, Mathematical Theory & Analysis, Mathematics, Python Programming, Algorithms, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      290 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Visualization (Computer Graphics), Algorithms, Applied Machine Learning, Machine Learning Software, Python Programming, Computer Programming, Data Science

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Mathematics, Mathematical Theory & Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Computer Graphic Techniques, Computer Vision, Visualization (Computer Graphics), Data Visualization, Matlab

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Analysis, Matlab, Data Visualization, Plot (Graphics), Visualization (Computer Graphics), Computer Graphics, Computer Programming, Mathematics, Statistical Machine Learning, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      212 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Mathematics, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Applied Kalman Filtering

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Computer Graphic Techniques, Computer Vision, Algorithms, Computer Graphics, Visualization (Computer Graphics), Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Probability Distribution, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Cryptography, Algorithms, Mathematics, Security Engineering, Mathematical Theory & Analysis, Theoretical Computer Science, Applied Mathematics, Cyberattacks, System Security, Computational Logic, Computational Thinking, Critical Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      970 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to signal processing

    digital signal processing
    audio signal processing for music applications
    digital signal processing 1: basic concepts and algorithms
    digital signal processing 3: analog vs digital
    digital signal processing 4: applications
    digital signal processing 2: filtering
    1234…72

    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
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Applied Kalman Filtering: University of Colorado System

    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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