10最好的信号处理教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 信号处理 技能并获得 信号处理 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 信号处理 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的信号处理教程推荐

课程名 在校生（人数） 评论（计数）
1. Learn Audo Studio: AI-Powered Noise Cancellation Tool (2022) 我们的最佳选择 24642+ 83+
2. Master the Fourier transform and its applications 12494+ 1828+
3. “Signal processing problems, solved in MATLAB and in Python” 11292+ 1651+
4. Digital Signal Processing (DSP) From Ground Up™ in C 3948+ 556+
5. Digital Signal Processing (DSP) From Ground Up™ in Python 3883+ 643+
6. Digital Signal Processing with MATLAB (Codes Included) 3478+ 407+
7. Digital Signal Processing with MATLAB Applications 3296+ 79+
8. DSP From Ground Up™ on ARM Processors [UPDATED] 3257+ 300+
9. Digital Signal Processing (DSP) From Ground Up™ with MATLAB 2732+ 475+
10. Signals and Systems : From Basics to Advance 1880+ 262+

1. Learn Audo Studio: AI-Powered Noise Cancellation Tool (2022) 经过 “Srinidhi Ranganathan, First Look Digital Marketing Solutions Pvt. Ltd.” Udemy课程 我们的最佳选择

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

截至目前，超过 24642+ 人们已经注册了这门课程，而且已经结束了 83+ 评论.

课程内容
Learn Audo Studio: AI-Powered Noise Cancellation Tutorial in 2022

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2. Master the Fourier transform and its applications 经过 Mike X Cohen Udemy课程

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

截至目前，超过 12494+ 人们已经注册了这门课程，而且已经结束了 1828+ 评论.

课程内容
“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” 经过 Mike X Cohen Udemy课程

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

截至目前，超过 11292+ 人们已经注册了这门课程，而且已经结束了 1651+ 评论.

课程内容
“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 经过 “Israel Gbati, BHM Engineering Academy” Udemy课程

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

截至目前，超过 3948+ 人们已经注册了这门课程，而且已经结束了 556+ 评论.

课程内容
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 经过 “Israel Gbati, BHM Engineering Academy” Udemy课程

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

截至目前，超过 3883+ 人们已经注册了这门课程，而且已经结束了 643+ 评论.

课程内容
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) 经过 Hossein Tootoonchy Udemy课程

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

截至目前，超过 3478+ 人们已经注册了这门课程，而且已经结束了 407+ 评论.

课程内容
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 经过 Prof. Dr. Academic Educator Udemy课程

Digital signal processing with MATLAB applications

截至目前，超过 3296+ 人们已经注册了这门课程，而且已经结束了 79+ 评论.

课程内容
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] 经过 “Israel Gbati, BHM Engineering Academy” Udemy课程

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

截至目前，超过 3257+ 人们已经注册了这门课程，而且已经结束了 300+ 评论.

课程内容
“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 经过 “Israel Gbati, PyTribe .” Udemy课程

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

截至目前，超过 2732+ 人们已经注册了这门课程，而且已经结束了 475+ 评论.

课程内容
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

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

10. Signals and Systems : From Basics to Advance 经过 Srinivas Andoor Udemy课程

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

截至目前，超过 1880+ 人们已经注册了这门课程，而且已经结束了 262+ 评论.

课程内容
Introduction
Systems
Fourier Series
Fourier Transform
Laplace Transform
Sampling
Z-Transform
AssignmentS

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下面是一些关于学习的常见问题信号处理

学习信号处理需要多长时间？

“学习信号处理需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 信号处理 是为了什么？你的出发点在哪里？您是初学者还是有使用 信号处理 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 信号处理.

信号处理 学起来容易还是难？

不，学习 信号处理 对大多数人来说并不难。检查这个 关于如何学习的课程 信号处理 立刻！

如何快速学习信号处理？

学习 信号处理 最快的方法是先得到这个 信号处理 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 信号处理？

如果您想探索和学习 信号处理，那么 Udemy 为您提供了学习 信号处理 的最佳平台。查看此 关于如何学习的课程 信号处理 立刻！