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    • Signal Processing

    筛选依据

    ''signal processing'的 21 个结果

    • IIT Roorkee

      IIT Roorkee

      Post Graduate Certificate in 5G Technology and IoT

      提供的学分

      University Certificate

    • University at Buffalo

      University at Buffalo

      Computer Vision Basics

      您将获得的技能: Data Analysis, Mathematics, Computer Graphics, Image Processing, Matlab, Computer Vision, Machine Learning

      4.2

      (1.7k 条评论)

      Intermediate · Course · 1-4 Weeks

    • Johns Hopkins University

      Johns Hopkins University

      GPU Programming

      Intermediate · Specialization · 3+ Months

    • IBM

      IBM

      Advanced Data Science with IBM

      您将获得的技能: Algorithms, Apache, Apache Spark, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Bayesian Statistics, Big Data, Change Management, Cloud Computing, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Distributed Computing Architecture, Econometrics, Estimation, Experiment, General Statistics, IBM Cloud, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Probability & Statistics, Probability Distribution, Programming Principles, Python Programming, Regression, Signal Processing, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Strategy and Operations, Theoretical Computer Science

      4.3

      (2.9k 条评论)

      Advanced · Specialization · 3+ Months

    • Vanderbilt University

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      您将获得的技能: Plot (Graphics), Data Analysis, Analysis, Computer Graphic Techniques, Linear Algebra, Theoretical Computer Science, Image Processing, Regression, Data Visualization, General Statistics, Process, Computer Graphics, Mathematics, Probability & Statistics, Computer Vision, Machine Learning, Algorithms, Matlab, Data Analysis Software

      4.8

      (135 条评论)

      Intermediate · Course · 1-3 Months

    • Coursera Project Network

      Coursera Project Network

      BioData Processing

      Intermediate · Rhyme Project · Less Than 2 Hours

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      Berklee College of Music

      Berklee College of Music

      Electronic Music Production

      您将获得的技能: Accounting, Accounting Software, Communication, Electronics, Human Computer Interaction, Media Production, User Experience

      4.8

      (2.1k 条评论)

      Intermediate · Specialization · 3+ Months

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      免费

      Peking University

      Peking University

      Advanced Neurobiology I

      您将获得的技能: Biostatistics, Cost Accounting, Data Analysis, Entrepreneurship, Corporate Accouting, Human Computer Interaction, Biology, Writing, People Management, Application Development, Business Process Management, Applied Mathematics, Statistical Programming, Big Data, Basic Descriptive Statistics, Bioinformatics, Probability & Statistics, Research and Design, Scientific Visualization, Computer Programming, Market Research, Neuroscience, Human Learning, Business Psychology, Communication, Statistical Analysis, Computer Architecture, Marketing, Accounting, Data Visualization, Mathematics, Experiment, Business Research, Software Engineering, Data Management, Financial Analysis, Strategy and Operations, Sales, Benefits, Calculus, Databases, General Accounting, Behavioral Economics, Clinical Data Management, User Experience, Business Analysis, Hardware Design, Business Communication, Human Resources, B2B Sales, Accounting Software, Account Management, Spreadsheet Software, Business Development, Training, Market Analysis, Marketing Management, Database Administration, Data Analysis Software, Algebra

      4.0

      (500 条评论)

      Intermediate · Course · 1-3 Months

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      Johns Hopkins University

      Johns Hopkins University

      CUDA at Scale for the Enterprise

      Intermediate · Course · 1-3 Months

    与 signal processing 相关的搜索

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

    总之,这是我们最受欢迎的 signal processing 门课程中的 10 门

    • Post Graduate Certificate in 5G Technology and IoT: IIT Roorkee
    • Computer Vision Basics: University at Buffalo
    • GPU Programming: Johns Hopkins University
    • Advanced Data Science with IBM: IBM
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • BioData Processing: Coursera Project Network
    • Electronic Music Production: Berklee College of Music
    • Advanced Neurobiology I: Peking University
    • CUDA at Scale for the Enterprise: Johns Hopkins University

    您可以在 Algorithms 中学到的技能

    图形 (22)
    数学优化 (21)
    计算机程序 (20)
    数据数据结构 (19)
    解决问题 (19)
    代数 (12)
    计算机视觉 (10)
    离散数学 (10)
    图论 (10)
    图像处理 (10)
    线性代数 (10)
    强化学习 (10)

    关于 Signal Processing 的常见问题

    • 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.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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