What is 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.

Why is it important to learn about signal processing?

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.

What career opportunities can arise from learning signal processing?

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.

How can taking online courses help me learn signal processing?

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.

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43 results for "signal processing"

IBM Skills Network
Advanced Machine Learning and Signal Processing
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Machine Learning Software, Python Programming, Statistical Programming, Apache, Data Management, Extract, Transform, Load, Feature Engineering, Probability & Statistics, Bayesian Network, Dimensionality Reduction, Probability Distribution, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Graphic Techniques, Computer Graphics, Data Structures, Estimation, Leadership and Management, Statistical Machine Learning, Strategy and Operations, Theoretical Computer Science
4.5
(1.2k reviews)
Advanced · Course · 1-4 Weeks
Qualcomm Wireless Academy
5G for Everyone
Skills you'll gain: Computer Networking, Computer Architecture, Network Architecture, Communication, Internet Of Things, Network Model, Network Security, Security Engineering, Software Engineering, Computational Logic, Computer Graphics, Deep Learning, Human Computer Interaction, Interactive Design, Machine Learning, Mathematical Theory & Analysis, Mathematics, Mobile Development, Mobile Security, Software-Defined Networking, Theoretical Computer Science
4.8
(200 reviews)
Beginner · Course · 1-3 Months
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Skills you'll gain: Data Analysis, Data Analysis Software, Linear Algebra, Mathematics, Matlab, Computer Graphic Techniques, Computer Graphics, Data Visualization, Machine Learning, Plot (Graphics), Probability & Statistics, Algorithms, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Computer Vision, Dimensionality Reduction, General Statistics, Exploratory Data Analysis, Statistical Analysis
4.7
(166 reviews)
Intermediate · Course · 1-3 Months
Free
Free
Northwestern University
Fundamentals of Digital Image and Video Processing
Skills you'll gain: Computer Graphic Techniques, Computer Graphics, Computer Vision, Mathematics, General Statistics, Machine Learning, Mathematical Theory & Analysis, Probability & Statistics, Theoretical Computer Science, Algorithms, Computational Logic, Data Analysis, Data Analysis Software, Linear Algebra
4.6
(1.6k reviews)
Mixed · Course · 1-3 Months
MathWorks
Data Processing and Feature Engineering with MATLAB
Skills you'll gain: Machine Learning, Data Analysis, Business Analysis, Data Analysis Software, Linear Algebra, Mathematics, Matlab, Probability & Statistics, Exploratory Data Analysis, Correlation And Dependence, Data Visualization, Statistical Analysis, Data Management, Feature Engineering, Plot (Graphics), Probability Distribution, Statistical Visualization
4.7
(317 reviews)
Intermediate · Course · 1-3 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 2: filtering

digital signal processing 4: applications

digital signal processing 3: analog vs digital

advanced machine learning and signal processing

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 Skills Network
5G for Everyone: Qualcomm Wireless Academy
Internet of Things: Sensing and Actuation From Devices: University of California San Diego
Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
Fundamentals of Digital Image and Video Processing: Northwestern University
Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
Using Sensors With Your Raspberry Pi: Johns Hopkins University

Skills you can learn in Algorithms

Graphs (22)

Mathematical Optimization (21)

Computer Program (20)

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.

Filter by

43 results for "signal processing"

Digital Signal Processing

Digital Signal Processing 1: Basic Concepts and Algorithms

Advanced Machine Learning and Signal Processing

5G for Everyone

Internet of Things: Sensing and Actuation From Devices

Introduction to Data, Signal, and Image Analysis with MATLAB

Audio Signal Processing for Music Applications

Fundamentals of Digital Image and Video Processing

Digital Signal Processing 3: Analog vs Digital

Using Sensors With Your Raspberry Pi

Data Processing and Feature Engineering with MATLAB

Digital Signal Processing 4: Applications

Searches related to signal processing

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

Skills you can learn in Algorithms

Frequently Asked Questions about Signal Processing

What is signal processing?‎

Why is it important to learn about signal processing?‎

What career opportunities can arise from learning signal processing?‎

How can taking online courses help me learn signal processing?‎

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Filter by

43 results for "signal processing"

Searches related to signal processing

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

Skills you can learn in Algorithms

Frequently Asked Questions about Signal Processing

What is signal processing?‎

Why is it important to learn about signal processing?‎

What career opportunities can arise from learning signal processing?‎

How can taking online courses help me learn signal processing?‎

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