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    • Signal Processing
    Related topics:signals and systemsdigital paintingimage processinglinear programmingbiomedical engineeringmatlab

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    21 results for "signal processing"

    • École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Algebra, Algorithms, Applied Mathematics, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, General Statistics, Graph Theory, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Statistical Programming, Theoretical Computer Science

      4.5

      (561 reviews)

      Intermediate · Specialization

    • École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Analysis, Algorithms, General Statistics, Mathematics, Signal Processing, Mathematical Theory & Analysis, Probability & Statistics, Process, Linear Algebra, Theoretical Computer Science

      4.5

      (458 reviews)

      Intermediate · Course

    • IBM

      IBM

      Advanced Machine Learning and Signal Processing

      Skills you'll gain: Regression, Statistical Machine Learning, Mathematics, Algorithms, General Statistics, Bayesian Statistics, Data Management, Signal Processing, Experiment, Econometrics, Strategy and Operations, Machine Learning, Dimensionality Reduction, Theoretical Computer Science, Leadership and Management, Data Structures, Machine Learning Algorithms, Computer Graphics, Estimation, Probability & Statistics, Computer Graphic Techniques, Change Management

      4.5

      (1.2k reviews)

      Advanced · Course

    • Free

      Universitat Pompeu Fabra of Barcelona

      Universitat Pompeu Fabra of Barcelona

      Audio Signal Processing for Music Applications

      Skills you'll gain: Analysis, General Statistics, Algorithms, Statistical Programming, Mathematics, Probability & Statistics, Mathematical Theory & Analysis, Computer Programming, Applied Mathematics, Theoretical Computer Science

      4.8

      (277 reviews)

      Intermediate · Course

    • Johns Hopkins University

      Johns Hopkins University

      GPU Programming

      Intermediate · Specialization

    • Vanderbilt University

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Regression, Data Analysis, Analysis, Mathematics, Plot (Graphics), Matlab, Algorithms, General Statistics, Computer Graphic Techniques, Computer Vision, Image Processing, Machine Learning, Data Visualization, Theoretical Computer Science, Process, Probability & Statistics, Data Analysis Software, Linear Algebra, Computer Graphics

      4.8

      (137 reviews)

      Intermediate · Course

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      Free

      Northwestern University

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: General Statistics, Algorithms, Mathematics, Computer Vision, Computer Graphic Techniques, Image Processing, Computational Logic, Linear Algebra, Mathematical Theory & Analysis, Data Analysis, Computer Graphics, Probability & Statistics, Data Analysis Software, Theoretical Computer Science, Machine Learning

      4.6

      (1.6k reviews)

      Mixed · Course

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      École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Statistical Programming, Algorithms, Algebra, General Statistics, Mathematics, Computer Programming, Applied Mathematics, Graph Theory, Mathematical Theory & Analysis, Probability & Statistics, Theoretical Computer Science

      4.7

      (145 reviews)

      Intermediate · Course

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      Johns Hopkins University

      Johns Hopkins University

      CUDA at Scale for the Enterprise

      Intermediate · Course

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      École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Analysis, Algorithms, Statistical Programming, Computer Graphic Techniques, Computer Programming, Probability & Statistics, Theoretical Computer Science, Computer Graphics

      4.7

      (49 reviews)

      Intermediate · Course

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      University of California San Diego

      University of California San Diego

      Internet of Things: Sensing and Actuation From Devices

      Skills you'll gain: Human Computer Interaction, Statistical Programming, Analytics, Computer Programming, Computer Graphics, Financial Analysis, Communication

      4.5

      (153 reviews)

      Mixed · Course

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      École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Algorithms, Computational Logic, Mathematics, Theoretical Computer Science, Mathematical Theory & Analysis

      4.8

      (63 reviews)

      Intermediate · Course

    Searches related to signal processing

    digital signal processing
    digital signal processing 1: basic concepts and algorithms
    audio signal processing for music applications
    digital signal processing 4: applications
    digital signal processing 3: analog vs digital
    digital signal processing 2: filtering
    advanced machine learning and signal processing
    12

    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
    • Advanced Machine Learning and Signal Processing: IBM
    • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
    • GPU Programming: Johns Hopkins University
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • CUDA at Scale for the Enterprise: Johns Hopkins University
    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne

    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.‎

    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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