10 Best Signal Processing Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will assist you enhance your Signal Processing abilities and earn your Signal Processing certificate.

In this short article, our specialists have assembled a curated list of the 10 Best of the Best Signal Processing courses, tutorials, training programs, classes and certifications that are offered online right now.

We have actually included only those courses that fulfill our top quality requirements. We have actually put a lot of time and effort into collecting these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Signal Processing Courses and Certifications Online

1. Learn Audo Studio: AI-Powered Noise Cancellation Tool (2022) by “Srinidhi Ranganathan, First Look Digital Marketing Solutions Pvt. Ltd.” Udemy Course Our Best Pick

Leverage the full power of Artificial Intelligence to automatically remove background noise from audio and video in 2022

As of right now, more than 24642+ people have enrolled in this course and there are over 83+ reviews.

Course Content
Learn Audo Studio: AI-Powered Noise Cancellation Tutorial in 2022

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2. Master the Fourier transform and its applications by Mike X Cohen Udemy Course

“Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing”

As of right now, more than 12494+ people have enrolled in this course and there are over 1828+ reviews.

Course Content
“Introduction to the Fourier transform
Foundations of the Fourier transform
The discrete Fourier transform
The discrete inverse Fourier transform
The fast Fourier transform
Frequency resolution and zero padding
Aliasing, stationarity, and violations
2D Fourier transform
Applications of the Fourier transform
Bonus section”

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3. “Signal processing problems, solved in MATLAB and in Python” by Mike X Cohen Udemy Course

Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes

As of right now, more than 11292+ people have enrolled in this course and there are over 1651+ reviews.

Course Content
“Introductions
Time series denoising
Spectral and rhythmicity analyses
Working with complex numbers
Filtering
Convolution
Wavelet analysis
Resampling, interpolating, extrapolating
Outlier detection
Feature detection
Variability
Bonus section”

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4. Digital Signal Processing (DSP) From Ground Up™ in C by “Israel Gbati, BHM Engineering Academy” Udemy Course

“Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc”

As of right now, more than 3948+ people have enrolled in this course and there are over 556+ reviews.

Course Content
Set up
Getting started with gnuplot
Signal Statistics and Noise
Quantization and The Sampling Theorem
Linear Systems and Superposition
Convolution
Fourier Transsform
Complex Numbers
Complex Fourier Transform
Fast Fourier Transform (FFT)
Digital Filter Design
Designing Finite Impulse Response FIR) Filters
Designing Infinite Impulse Response (IIR) Filters
Designing Windowed-Sinc Filters

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5. Digital Signal Processing (DSP) From Ground Up™ in Python by “Israel Gbati, BHM Engineering Academy” Udemy Course

“Practical DSP in Python : Over 70 examples, FFT,Filter Design, IIR,FIR, Window Filters,Convolution,Linear Systems etc”

As of right now, more than 3883+ people have enrolled in this course and there are over 643+ reviews.

Course Content
Set Up
Python Essentials
Signal Statistics and Noise
Quantization and The Sampling Theorem
Linear Systems and Superposition
Convolution
Fourier Transform
Complex Numbers
Complex Fourier Transform
Fast Fourier Transform (FFT)
Digital Filter Design
Designing Finite Impulse Response (FIR) Filters
Designing Infinite Impulse Response (IIR) Filters
Designing Windowed Filters
Custom Filters
Designing Match Filters
FFT Convolution
Representing Linear Time Invariant (LTI) )Systems in Python
Interpolation
Waveform Generation

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6. Digital Signal Processing with MATLAB (Codes Included) by Hossein Tootoonchy Udemy Course

Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes

As of right now, more than 3478+ people have enrolled in this course and there are over 407+ reviews.

Course Content
How to Request your Coursovie Training Certificate
THANK YOU FOR CHOOSING COURSOVIE !
Introduction
Preliminaries
Introduction to Matlab
Transforms
FFT Convolution
Digital Filters
Filter Implementation
IIR Design Example and Code
FIR Design Example and Code
Image Filtering
Music Filtering
Conclusion
M-FILES AND SOURCE CODES USED IN THIS COURSE

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7. Digital Signal Processing with MATLAB Applications by Prof. Dr. Academic Educator Udemy Course

Digital signal processing with MATLAB applications

As of right now, more than 3296+ people have enrolled in this course and there are over 79+ reviews.

Course Content
Outline
Sampling of Continuous Time Signals
Reconstruction of an Analog Signal from its Samples
DownSampling of Digital Signals
Upsampling of Digital Signals
Practical CD and DC converters
Discrete Fourier transform of digital signals
Analog and Digital Filter Design

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8. DSP From Ground Up™ on ARM Processors [UPDATED] by “Israel Gbati, BHM Engineering Academy” Udemy Course

“Digital Signal Processing on ARM : DFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems”

As of right now, more than 3257+ people have enrolled in this course and there are over 300+ reviews.

Course Content
“Setting Up
Getting Stasrted
Signal Statistics and Noise
Quantization and The Sampling Theorem
ARM Cortex-M DSP Support Features
Linear Systems and Superposition
Convolution
Discrete Fourier Transform (DFT)
Configuring the Clock Tree for Maximum Speed
Digital Filter Design
Signal Processing on Live Sensor Data
Developing the First-In-First-Out (FIFO) Data Structure
Developing a Background Thread for Sampling Sensor Data
Performing Digital Signal Processing on Blocks of Sensor Data
—————–START OF OLD VERSION OF THE COURSE ————————–
Getting Started with Real-time Digital Signal Processing
Signal Statistics and Noise
Quantization and The Sampling Theorem
ARM Cortex-M DSP Support Features
Linear Systems and Superposition
Convolution
Fourier Transform
Fast Fourier Transform (FFT)
Digital Filter Design
Designing Finite Impulse Response (FIR) Filters
Designing Infinite Impulse Response (IIR) Filters
Designing Windowed-Sinc Filters
FFT Convolution
DSP Instructions on the ARM Cortex-M
Cortex-M4, M7 DSP Optimization Strategies
Setting Up
Setting Up Matlab
Closing Remarks”

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9. Digital Signal Processing (DSP) From Ground Up™ with MATLAB by “Israel Gbati, PyTribe .” Udemy Course

“Practical DSP with Matlab : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, ECG processing”

As of right now, more than 2732+ people have enrolled in this course and there are over 475+ reviews.

Course Content
Set up
Getting Started
Signal Statistics and Noise
Quantization and The Sampling Theorem
Linear Systems and Superposition
Convolution
Fourier Transform
Complex Numbers
Complex Fourier Transform
Fast Fourier Transform (FFT)
Digital Filter Design
Designing Finite Impulse Response FIR) Filters
Designing Infinite Impulse Response (IIR) Filters
Designing Windowed-Sinc Filters
FFT Convolution

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10. Signals and Systems : From Basics to Advance by Srinivas Andoor Udemy Course

“Learn the fundamental characteristics of signals and systems, Fourier Transform and Z-Transform from basic to advance.”

As of right now, more than 1880+ people have enrolled in this course and there are over 262+ reviews.

Course Content
Introduction
Systems
Fourier Series
Fourier Transform
Laplace Transform
Sampling
Z-Transform
AssignmentS

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Here are some frequently asked questions about learning Signal Processing

How Long Does It Take to Learn Signal Processing?

The answer to the question “How long does it ttake to learn Signal Processing” is … it depends. Everyone has different needs, and everybody is operating in different circumstances, so the answer for someone might be entirely different than for somebody else.

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The fastest way to Learn Signal Processing is to first get this Signal Processing course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is essential.

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