| 0 | 102.4 B | ||
| 001 Introduction of Complex Numbers.en.srt | 6 KB | ||
| 001 Introduction of Complex Numbers.mp4 | 20.3 MB | ||
| 001 Introduction of the course.en.srt | 6.5 KB | ||
| 001 Introduction of the course.mp4 | 23.3 MB | ||
| 001 Introduction of the section.en.srt | 2.1 KB | ||
| 001 Introduction of the section.mp4 | 4.2 MB | ||
| 1 | 268 KB | ||
| 002 Combining Sine and Cosine Waves.mp4 | 60.5 MB | ||
| 002 Elements of signal processing system.en.srt | 11.4 KB | ||
| 2 | 144.2 KB | ||
| 002 Combining Sine and Cosine Waves.en.srt | 14.2 KB | ||
| 002 Complex Numbers in Python.en.srt | 6.5 KB | ||
| 002 Complex Numbers in Python.mp4 | 24.1 MB | ||
| 002 Elements of signal processing system.mp4 | 49.8 MB | ||
| 002 Introduction to digital filters.en.srt | 10.6 KB | ||
| 002 Introduction to digital filters.mp4 | 45.7 MB | ||
| 002 Moving Average Filter.en.srt | 9.9 KB | ||
| 002 Moving Average Filter.mp4 | 41.3 MB | ||
| 002 Pace of Lecture delivery.en.srt | 3.3 KB | ||
| 002 Pace of Lecture delivery.mp4 | 18.2 MB | ||
| 002 Python Installment.en.srt | 5.5 KB | ||
| 002 Python Installment.mp4 | 25 MB | ||
| 002 Steps for designing IIR Butterworth filters.en.srt | 11.2 KB | ||
| 002 Steps for designing IIR Butterworth filters.mp4 | 34.7 MB | ||
| 002 The Convolution Sum.en.srt | 22.3 KB | ||
| 002 The Convolution Sum.mp4 | 62.3 MB | ||
| 003 AD Conversion.en.srt | 20.9 KB | ||
| 003 AD Conversion.mp4 | 73.6 MB | ||
| 003 Course Material.html | 1 KB | ||
| 003 Course Material.zip | 16.8 MB | ||
| 003 Generating Waves in Python.en.srt | 17.8 KB | ||
| 003 Generating Waves in Python.mp4 | 97.9 MB | ||
| 003 IIR Butterworth Filter design in Python.en.srt | 15.6 KB | ||
| 003 IIR Butterworth Filter design in Python.mp4 | 87.2 MB | ||
| 003 Introduction of Jupyter Notebook.en.srt | 17.5 KB | ||
| 003 Introduction of Jupyter Notebook.mp4 | 52.1 MB | ||
| 003 Maths of Complex Numbers Part-01.en.srt | 4 KB | ||
| 003 Maths of Complex Numbers Part-01.mp4 | 13.9 MB | ||
| 003 Moving Average Filter in Python.en.srt | 18.9 KB | ||
| 003 Moving Average Filter in Python.mp4 | 96.8 MB | ||
| 003 Numerical Example on convolution.en.srt | 23.6 KB | ||
| 003 Numerical Example on convolution.mp4 | 63.1 MB | ||
| 003 Steps for designing FIR filters.en.srt | 33.9 KB | ||
| 003 Steps for designing FIR filters.mp4 | 100.6 MB | ||
| 004 AD Conversion With Python.en.srt | 13.7 KB | ||
| 004 AD Conversion With Python.mp4 | 74.1 MB | ||
| 004 FIR filter design by Least Square Method.en.srt | 17 KB | ||
| 004 FIR filter design by Least Square Method.mp4 | 85.4 MB | ||
| 004 Full mode convolution.en.srt | 3.8 KB | ||
| 004 Full mode convolution.mp4 | 8.6 MB | ||
| 004 Gaussian Mean Filter.en.srt | 11.8 KB | ||
| 004 Gaussian Mean Filter.mp4 | 46.8 MB | ||
| 004 Installing Python Packages.en.srt | 5.5 KB | ||
| 004 Installing Python Packages.mp4 | 16.7 MB | ||
| 004 Low Pass IIR filter.en.srt | 9.1 KB | ||
| 004 Low Pass IIR filter.mp4 | 44.3 MB | ||
| 004 Maths of Complex Numbers Part-02.en.srt | 4.9 KB | ||
| 004 Maths of Complex Numbers Part-02.mp4 | 17.8 MB | ||
| 004 Mechanism of Fourier Transform.en.srt | 26 KB | ||
| 004 Mechanism of Fourier Transform.mp4 | 112.7 MB | ||
| 4 | 811.6 KB | ||
| 005 Arithmatic with Python- Part 01.en.srt | 9.3 KB | ||
| 005 Arithmatic with Python- Part 01.mp4 | 35 MB | ||
| 005 Convolution using for loop in Python.en.srt | 30 KB | ||
| 005 Convolution using for loop in Python.mp4 | 140.2 MB | ||
| 005 FIR filter design by Window Method.en.srt | 9.3 KB | ||
| 005 FIR filter design by Window Method.mp4 | 46 MB | ||
| 005 Gaussian Mean Filter in Python.en.srt | 24.3 KB | ||
| 005 Gaussian Mean Filter in Python.mp4 | 139.9 MB | ||
| 005 High Pass IIR filter.en.srt | 8.4 KB | ||
| 005 High Pass IIR filter.mp4 | 38.5 MB | ||
| 005 Maths of Complex Numbers in Python.en.srt | 5.3 KB | ||
| 005 Maths of Complex Numbers in Python.mp4 | 21.2 MB | ||
| 005 Quantized to digital conversion.en.srt | 4.6 KB | ||
| 005 Quantized to digital conversion.mp4 | 14 MB | ||
| 005 Step by step coding of Fourier Transform.en.srt | 34.2 KB | ||
| 005 Step by step coding of Fourier Transform.mp4 | 180.5 MB | ||
| 5 | 947.1 KB | ||
| 006 Arithmatic with Python- Part 02.en.srt | 11.7 KB | ||
| 006 Arithmatic with Python- Part 02.mp4 | 40.2 MB | ||
| 006 Band Pass IIR filter.en.srt | 7.4 KB | ||
| 006 Band Pass IIR filter.mp4 | 45.3 MB | ||
| 006 Convolution using NumPy.en.srt | 7.3 KB | ||
| 006 Convolution using NumPy.mp4 | 42.3 MB | ||
| 006 FIR Zero Shift Filter.en.srt | 16.4 KB | ||
| 006 FIR Zero Shift Filter.mp4 | 87.1 MB | ||
| 006 Fast Fourier Transform.en.srt | 11.3 KB | ||
| 006 Fast Fourier Transform.mp4 | 50.2 MB | ||
| 006 Fundamental Continuous time signal.en.srt | 20.3 KB | ||
| 006 Fundamental Continuous time signal.mp4 | 58.7 MB | ||
| 006 Magnitude and Phase calculations.en.srt | 1.9 KB | ||
| 006 Magnitude and Phase calculations.mp4 | 7.4 MB | ||
| 6 | 572.9 KB | ||
| 006 Median Filter.en.srt | 9.5 KB | ||
| 006 Median Filter.mp4 | 33.5 MB | ||
| 007 Application 01 _ Signal denoising using Convolution.en.srt | 14.7 KB | ||
| 007 Application 01 _ Signal denoising using Convolution.mp4 | 84.8 MB | ||
| 007 Arithmatic with Python- Part 03.en.srt | 9.9 KB | ||
| 007 Arithmatic with Python- Part 03.mp4 | 31.9 MB | ||
| 007 Comparison between FIR and IIR Filters.mp4 | 13.4 MB | ||
| 007 Continuous time signals in Python.en.srt | 21.7 KB | ||
| 007 Continuous time signals in Python.mp4 | 118.1 MB | ||
| 007 FT of signal with DC component.mp4 | 64.5 MB | ||
| 007 Installing Packages.docx | 12.4 KB | ||
| 007 Magnitude and Phase calculations in Python.en.srt | 3.1 KB | ||
| 007 Magnitude and Phase calculations in Python.mp4 | 17.1 MB | ||
| 7 | 341.3 KB | ||
| 007 Comparison between FIR and IIR Filters.en.srt | 3.1 KB | ||
| 007 FT of signal with DC component.en.srt | 13.3 KB | ||
| 007 Low Pass FIR filter.en.srt | 10.8 KB | ||
| 007 Low Pass FIR filter.mp4 | 36.7 MB | ||
| 007 Median Filter in Python.en.srt | 8.8 KB | ||
| 007 Median Filter in Python.mp4 | 49.5 MB | ||
| 008 Amplitude and Power Spectrum.en.srt | 11.2 KB | ||
| 008 Amplitude and Power Spectrum.mp4 | 46.1 MB | ||
| 008 Application 02 _ Edge detection using Convolution.en.srt | 8.6 KB | ||
| 008 Complex Sine wave.en.srt | 2 KB | ||
| 008 Complex Sine wave.mp4 | 10.5 MB | ||
| 008 Dealing with Arrays-Part01.en.srt | 13.1 KB | ||
| 8 | 293.2 KB | ||
| 008 Application 02 _ Edge detection using Convolution.mp4 | 37.1 MB | ||
| 008 Dealing with Arrays-Part01.mp4 | 57.2 MB | ||
| 008 Fundamental Discrete time signals.en.srt | 9.6 KB | ||
| 008 Fundamental Discrete time signals.mp4 | 25.1 MB | ||
| 008 Low Pass FIR filter in Python.en.srt | 13.4 KB | ||
| 008 Low Pass FIR filter in Python.mp4 | 67.6 MB | ||
| 008 Removing Spiky Noise by Median Filter.en.srt | 6 KB | ||
| 008 Removing Spiky Noise by Median Filter.mp4 | 22.6 MB | ||
| 008 Task for students.en.srt | 1.2 KB | ||
| 008 Task for students.mp4 | 2.1 MB | ||
| 009 Complex Sine wave in Python.mp4 | 32.3 MB | ||
| 009 Convolution Theorem.en.srt | 11.2 KB | ||
| 009 Convolution Theorem.mp4 | 51.2 MB | ||
| 009 Dealing with arrays-Part02.en.srt | 13.7 KB | ||
| 009 Dealing with arrays-Part02.mp4 | 58.3 MB | ||
| 009 Discrete time signals in Python.en.srt | 20.7 KB | ||
| 9 | 431.8 KB | ||
| 009 Complex Sine wave in Python.en.srt | 6 KB | ||
| 009 Discrete time signals in Python.mp4 | 101.7 MB | ||
| 009 High Pass FIR filter.en.srt | 8.6 KB | ||
| 009 High Pass FIR filter.mp4 | 30.6 MB | ||
| 009 Inverse Fourier Transform.en.srt | 8.1 KB | ||
| 009 Inverse Fourier Transform.mp4 | 38.9 MB | ||
| 009 Removing Spiky Noise by Median Filter in Python Part-01.en.srt | 27.2 KB | ||
| 009 Removing Spiky Noise by Median Filter in Python Part-01.mp4 | 117.4 MB | ||
| 010 Application of FT _ Signal stationarity Part-01.en.srt | 6.5 KB | ||
| 010 Application of FT _ Signal stationarity Part-01.mp4 | 28.1 MB | ||
| 010 Dealing with arrays-Part03.en.srt | 24.1 KB | ||
| 010 Dealing with arrays-Part03.mp4 | 119.2 MB | ||
| 010 High Pass FIR filter in Python.en.srt | 8.8 KB | ||
| 010 High Pass FIR filter in Python.mp4 | 49.4 MB | ||
| 010 Removing Spiky Noise by Median Filter in Python Part-02.en.srt | 10.8 KB | ||
| 010 Removing Spiky Noise by Median Filter in Python Part-02.mp4 | 53.5 MB | ||
| 010 Sampling and Reconstruction.en.srt | 12.5 KB | ||
| 010 Sampling and Reconstruction.mp4 | 61.1 MB | ||
| 011 Application of FT _ Signal stationarity Part-02.en.srt | 6.8 KB | ||
| 011 Application of FT _ Signal stationarity Part-02.mp4 | 32.1 MB | ||
| 011 Band Pass FIR filter.en.srt | 8.8 KB | ||
| 011 Band Pass FIR filter.mp4 | 29.1 MB | ||
| 011 Plotting and Visualization-Part01.en.srt | 20.8 KB | ||
| 011 Plotting and Visualization-Part01.mp4 | 96.3 MB | ||
| 011 Sampling and Reconstruction in Python.en.srt | 16.3 KB | ||
| 011 Sampling and Reconstruction in Python.mp4 | 98.7 MB | ||
| 012 Band Pass FIR filter in Python.en.srt | 9.7 KB | ||
| 012 Band Pass FIR filter in Python.mp4 | 57.4 MB | ||
| 012 Plotting and Visualization-Part02.en.srt | 17.8 KB | ||
| 012 Plotting and Visualization-Part02.mp4 | 123 MB | ||
| 013 Plotting and Visualization-Part03.en.srt | 16.9 KB | ||
| 013 Plotting and Visualization-Part03.mp4 | 78.1 MB | ||
| 013 Tasks for students.en.srt | 2 KB | ||
| 013 Tasks for students.mp4 | 4.8 MB | ||
| 014 Plotting and Visualization-Part04.en.srt | 9 KB | ||
| 014 Plotting and Visualization-Part04.mp4 | 54.2 MB | ||
| 015 Lists in Python.en.srt | 25.6 KB | ||
| 015 Lists in Python.mp4 | 89 MB | ||
| 016 For Loops - Part01.en.srt | 25.7 KB | ||
| 016 For Loops - Part01.mp4 | 87.1 MB | ||
| 017 For Loops - Part02.en.srt | 25.5 KB | ||
| 017 For Loops - Part02.mp4 | 92.4 MB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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Description
This course will bridge the gap between the theory of signal processing and implementation in Python. All the lecture slides and python codes are provided.
Why Signal Processing?
Since the availability of digital computers in the 1970s, digital signal processing has found its way in all sections of engineering and sciences.
Signal processing is the manipulation of the basic nature of a signal to get the desired shaping of the signal at the output. It is concerned with the
representation of signals by a sequence of numbers or symbols and the processing of these signals.
Following areas of sciences and engineering are specially benefitted by rapid growth and advancement in signal processing techniques.
1. Machine Learning.
2. Data Analysis.
3. Computer Vision.
4. Image Processing and Medical Imaging.
5. Communication Systems.
6. Power Electronics.
7. Probability and Statistics.
8. Numerical Analysis.
9. Decision Theory.
10. Integrated Circuit design.
What you will learn from the course
1. Fundamentals of signals and signal Processing.
2. Analog to digital conversion.
3. Sampling and Reconstruction.
4. Nyquist Theorem.
5. The Convolution.
6. Signal denoising.
7. Fourier transform.
8. Signal filtering by FIR and IIR filters.
9. Implementing all signal processing techniques with python.
Course Outline
Section 01 : Introduction of the course
Section 02 : Python crash course
Section 03 : Fundamentals of Signal Processing
Section 04 : Convolution
Section 05 : Signal Denoising
Section 06: Complex Numbers
Section 07 : Fourier Transform
Section 08 : FIR Filter Design
Section 09 : IIR Filter Design
Who this course is for:
University students taking signal processing course.
Engineers and scientists working in the signal processing area.
Engineers and scientists who know the Maths of signal processing and want to learn the implementations in Python.
People who want to know about data and time series filtering.
People who know implementation of signal processing algorithms in Matlab and want to switch to the Python.
Requirements
Some fundamental knowledge of programming may be helpful but not necessary.
Last Updated 8/2021
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 4 months | 13 | 6 | |
| 4.1 GB | freecoursewb | 7 months | 0 | 0 | |
| 1.6 GB | freecoursewb | 2 years | 2 | 3 | |
| 2.9 GB | freecoursewb | 4 years | 1 | 1 | |
|
Udemy - Introduction to Digital Signal Processing - Rahsoft RAHDG489 Posted by
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2.8 GB | freecoursewb | 4 years | 0 | 1 |
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