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Results for "signal processing"


  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Electronics, Algorithms, Linear Algebra

    4.5 stars, 822 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (822) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Communication Systems, Telecommunications, Algorithms, Linear Algebra

    4.5 stars, 652 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (652) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Signal Processing, Communication Systems, Telecommunications

    4.7 stars, 198 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (198) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    Universitat Pompeu Fabra of Barcelona

    Audio Signal Processing for Music Applications

    Skills you'll gain: Digital Signal Processing, Music, Open Source Technology, Python Programming, Software Visualization, Classification Algorithms

    4.8 stars, 294 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (294) · Intermediate · Course · 1 - 3 Months

    Category: Free
    Free
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  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Communication Systems, Electronics, Telecommunications, Linear Algebra

    4.8 stars, 98 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (98) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Model Training, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3 stars, 1.4K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (1.4K) · Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Event-Driven Programming, Scalability, Applied Machine Learning, C and C++, Memory Management, Performance Tuning, Software Development, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Hardware Architecture, Programming Principles, Computer Architecture, Data Access, Python Programming, Machine Learning, Program Development, Data Structures, Computer Hardware

    3 stars, 218 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 3 (218) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • B

    Birla Institute of Technology & Science, Pilani

    Basic Electronics

    Skills you'll gain: Electronic Systems, Semiconductors, Electrical Engineering, Electronics, Electronic Components, Electrical Power, Power Electronics, Engineering Analysis, Network Analysis, Control Systems, Applied Mathematics

    4 stars, 21 reviews, Beginner, Course, 1 - 3 Months

    ★ 4 (21) · Beginner · Course · 1 - 3 Months

    Category: Build toward a degree
    Build toward a degree
  • A

    AI Business School

    Introduction to AI for Operations & Processing professionals

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Engineering Tools, Responsible AI, AI literacy, Generative AI Agents, AI Enablement, Artificial Intelligence, Operations, AI Workflows, Operational Excellence, Risk Mitigation, Digital Transformation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • N

    Northeastern University

    Applied Mathematics in Bioengineering

    Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Applied Mathematics, Regression Analysis, Data Transformation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, File I/O, Automation, Anomaly Detection, Medical Imaging, Data Import/Export, Data Store

    4.7 stars, 262 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.7 (262) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    MathWorks

    Practical MATLAB Skills

    Skills you'll gain: Plot (Graphics), Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Data Visualization, Data Visualization Software, Descriptive Statistics, Interactive Data Visualization, Data Access, File I/O, Exploratory Data Analysis, Data Mapping, Data Cleansing, File Management, Technical Communication

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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Best Signal Processing courses from École Polytechnique Fédérale de Lausanne

Top-rated Signal Processing courses offered by École Polytechnique Fédérale de Lausanne on Coursera.

  1. 1
    Digital Signal Processing
    École Polytechnique Fédérale de LausanneIntermediate3 - 6 Months4.5(822)École Polytechnique Fédérale de Lausanne
  2. 2
    Digital Signal Processing 1: Basic Concepts and Algorithms
    École Polytechnique Fédérale de LausanneIntermediate1 - 4 Weeks4.5(652)École Polytechnique Fédérale de Lausanne
  3. 3
    Digital Signal Processing 2: Filtering
    École Polytechnique Fédérale de LausanneIntermediate1 - 4 Weeks4.7(198)École Polytechnique Fédérale de Lausanne

Best Signal Processing certificate programs

Earn a certificate in Signal Processing from top universities and companies.

  1. 1
    GPU Programming
    Johns Hopkins UniversityIntermediate3 - 6 Months3.0(218)Specialization
  2. 2
    Image Processing for Engineering and Science
    MathWorksBeginner1 - 3 Months4.7(262)Specialization

Best Signal Processing courses for beginners

Top-rated beginner-friendly Signal Processing courses with no prerequisites.

  1. 1
    Basic Electronics
    Birla Institute of Technology & Science, PilaniBeginner1 - 3 Months4.0(21)No prerequisites
  2. 2
    Introduction to AI for Operations & Processing professionals
    AI Business SchoolBeginner1 - 4 WeeksNo prerequisites
  3. 3
    Applied Mathematics in Bioengineering
    Northeastern UniversityBeginner1 - 4 WeeksNo prerequisites

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

Signal processing is the analysis, interpretation, and manipulation of signals. Signals can be anything from audio and video to sensor data and images. It plays a crucial role in various fields, including telecommunications, audio engineering, and biomedical engineering. Understanding signal processing is essential because it enables the extraction of meaningful information from raw data, improving communication systems, enhancing audio quality, and enabling advanced technologies like image recognition and machine learning.‎

A variety of job opportunities exist in the field of signal processing. Positions can range from signal processing engineers and audio engineers to data scientists and research scientists. Industries such as telecommunications, healthcare, and entertainment often seek professionals skilled in signal processing to develop algorithms, improve system performance, and analyze complex data. With the rise of AI and machine learning, roles that require signal processing expertise are increasingly in demand.‎

To succeed in signal processing, you should develop a strong foundation in mathematics, particularly in linear algebra and calculus. Familiarity with programming languages such as Python or MATLAB is also beneficial, as these tools are commonly used for implementing signal processing algorithms. Additionally, understanding concepts like Fourier transforms, filtering techniques, and statistical analysis will enhance your skill set and prepare you for practical applications in the field.‎

Some of the best online courses for signal processing include the Digital Signal Processing Specialization, which covers fundamental concepts and applications. Other notable courses are Digital Signal Processing 1: Basic Concepts and Algorithms and Audio Signal Processing for Music Applications, which focus on specific aspects of the field. These courses provide a comprehensive understanding of both theoretical and practical elements of signal processing.‎

Yes. You can start learning signal processing on Coursera for free in two ways:

  1. Preview the first module of many signal processing courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in signal processing, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn signal processing, start by exploring online courses that cover the basics and gradually progress to more advanced topics. Engage with practical exercises and projects to apply what you've learned. Joining online forums or study groups can also enhance your understanding through collaboration. Consistent practice and real-world application of concepts will help solidify your knowledge and skills in signal processing.‎

Typical topics covered in signal processing courses include signal representation, Fourier analysis, filtering techniques, and time-frequency analysis. Courses may also explore applications in audio and image processing, as well as advanced topics like adaptive filtering and machine learning integration. This comprehensive curriculum equips you with the necessary tools to analyze and manipulate signals effectively.‎

For training and upskilling employees in signal processing, the Digital Signal Processing Specialization is an excellent choice. It provides a structured learning path that covers essential concepts and applications. Additionally, courses like Digital Signal Processing 2: Filtering and Digital Signal Processing 4: Applications can help employees gain practical skills relevant to their roles, enhancing their contributions to the organization.‎

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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