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This course includes:

  • 12 hours on-demand video
  • 1 article
  • 10 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
IT & Software Hardware Signal Processing

DSP From Ground Up™ on ARM Processors

Digital Signal Processing on ARM : FFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems, Correlation
Rating: 4.0 out of 54.0 (236 ratings)
2,533 students
Created by Israel Gbati
Last updated 9/2020
English
English, Afrikaans, 
30-Day Money-Back Guarantee

What you'll learn

  • Develop efficient DSP algorithms using MAC and SIMD instructions
  • Develop RealTime Digital Signal Proceesing firmware
  • Understand Cortex-M4, M7 DSP optimization strategies
  • Master the CMSIS-DSP Library
  • Develop and test the Convolution Kernel algorithm on ARM Processors
  • Perform convolution using the ARM CMSIS-DSP Library
  • Develop and test the Discrete Fourier Transform (DFT) algorithm on ARM Processors
  • Develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on ARM Processors
  • Develop and test the Fast Fourier Transform (FFT) algorithm on ARM Processors
  • Perform Fast Fourier Transform (FFT) using the CMSIS-DSP Library
  • Perform spectral analysis on ECG signals on ARM Processors
  • Develop Windowed-Sinc filters on ARM Processors
  • Develop Finite Impulse Response (FIR) filters on ARM Processors
  • Develop Infinite Impulse Response (IIR) filters on ARM Processors
  • Setup Finite Impulse Response (FIR) filters using the CMSIS-DSP Library
  • Setup Infinite Impulse Response (FIR) filters using the CMSIS-DSP Library
  • Build passive Low-pass and High-pass filters
  • Build Modified Sallen-Key filters
  • Build Bessel, Chebyshev and Butterworth filters
  • Suppress noise in signals
  • Give a lecture on Digital Signal Processing (DSP)

Requirements

  • Having basic C programming skills is a plus
  • You will need an STM32F411-DISCO Board

Description

With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding  obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.

Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture  of their choice. This version of the course focuses on developing DSP algorithms for ARM microcontrollers leveraging the microcontrollers features such SIMD, MAC, Floating Point Unit (FPU) and the ARM CMSIS-DSP Library.

By the end of this course you should be able develop efficient DSP algorithms using MAC and SIMD instructions , develop RealTime Digital Signal Processing firmware , master the CMSIS-DSP Library, develop and test the Convolution Kernel algorithm on ARM processors, develop and test the Discrete Fourier Transform (DFT) algorithm on ARM processors, develop  and  test the Inverse Discrete Fourier Transform (IDFT) algorithm on ARM processors, design and develop Finite Impulse Response (FIR) filters on ARM processors, design and develop Infinite Impulse Response (IIR) filters on ARM processors, develop Windowed-Sinc filters  on ARM procesors, build Modified Sallen-Key filters,  build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm on arduino, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.

Who this course is for:

  • Engineering Students
  • Embedded Systems Engineers
  • Hobbyists
  • Embedded Systems Instructors

Course content

25 sections • 172 lectures • 11h 58m total length

  • Introduction
    Preview01:09
  • Preview05:58
  • Increasing System Clock Frequency
    13:07
  • Configuring the Logic Analyzer
    08:52
  • Configuring the Logic Analyzer (Part 2 )
    02:10
  • Plotting signals on the Logic Analyzer
    10:34
  • Plotting signals on the Logic Analyzer (Part 2)
    03:54
  • Configuring an FIR Low-pass filter
    08:07
  • Configuring an FIR Low-pass filter (Part II)
    03:04
  • Testing the Lowpass filter
    05:03
  • Testing the Lowpass filter (Part II)
    03:25
  • Generating a sine wave
    04:51
  • Generating a sine wave (Part 2)
    04:35

  • Setting up the project
    06:51
  • Configuring the FIR filter
    07:21
  • Configuring the sine generator
    04:24
  • Filtering a noisy signal
    07:29
  • Plotting filter results
    04:46
  • Configuring the Real-time Kernel
    04:37
  • Creating Threads
    05:58
  • Synchronizing Threads
    07:05

  • Preview02:26
  • Preview04:10
  • Coding : Developing the Mean algorithm (Part II)
    12:10
  • Loop Iterator
    00:11
  • Coding : Developing the Mean algorithm (Part II)
    03:18
  • Coding : Developing the Mean algorithm (Part III )
    08:26
  • Coding : Developing the Variance algorithm
    08:21
  • Coding : Computing the signal variance using CMSIS-DSP
    02:20
  • Coding : Developing the Standard Deviation algorithm
    03:42
  • Coding : Computing signal standard deviation using CMSIS-DSP
    01:16
  • Preview00:58

  • Quantization
    02:31
  • Nyquist Theorem ( Sampling Theorem )
    02:15
  • The Passive Low-Pass Filter
    05:59
  • The Passive High-Pass Filter
    02:29
  • The Modified Sallen-Key Filter
    02:19
  • The Bessel, Chebyshev and Butterworth filters
    03:28
  • Comparing the performance of the Bessel, Chebyshev and Butterworth filters
    02:36
  • Information encoding : Time-domain and frequency-domain encoding
    01:27

  • From Digital Signal Processors (DSPs) to Digital Signal Controllers (DSCs)
    02:58
  • Features of Digital Signal Controllers
    01:16
  • Overview of the Floating Point Unit (FPU)
    02:08
  • Overview of Cortex-M SIMD Capabilities
    01:32
  • Overview of Cortex-M MAC Capabilities
    01:26
  • Overview of CMSIS-DSP
    03:39
  • Data Types
    01:43

  • Signal naming conventions
    01:17
  • System Homogeneity
    01:32
  • System Additivity
    00:33
  • System Shift Invariance
    01:06
  • Synthesis and Decomposition
    02:11
  • Impulse Decomposition
    02:10
  • Step Decomposition
    01:51

  • Introduction to Convolution
    01:33
  • The Delta Function and Impulse Response
    02:13
  • The Convolution Kernel
    07:22
  • The Convolution Kernel (Part II)
    00:53
  • The Output side analysis and the convolution sum equation
    04:20
  • Coding : Developing the convolution algorithm (Part I)
    07:36
  • Coding : Developing the convolution algorithm (Part II)
    07:19
  • Coding : Developing the convolution algorithm (Part III )
    05:24
  • Coding : Convolving signals using CMSIS-DSP (Part I)
    08:35
  • Coding : Convolving signals using CMSIS-DSP (Part II)
    06:15
  • Coding : Convolving signals using CMSIS-DSP (Part III)
    09:15
  • The Identity property of convolution
    01:30
  • The Running Sum and First Difference
    02:02
  • Coding : Developing the Running Sum algorithm
    09:54
  • Coding : Developing the First Difference algorithm
    04:28

  • Introduction to Fourier Analysis
    01:22
  • Introduction to Discrete Fourier Transform
    04:50
  • DFT Basis Functions
    03:23
  • Deducing the Inverse DFT
    03:12
  • Calculating the Discrete Fourier Transform (DFT)
    03:55
  • Coding : Developing the DFT algorithm (Part I)
    07:12
  • Coding : Developing the DFT algorithm (Part II )
    04:59
  • Coding : Developing the DFT algorithm (Part III )
    03:30
  • Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part I)
    08:00
  • Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part II)
    07:11
  • Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part IIII)
    17:52
  • Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part IV)
    03:20
  • Symmetry between Time domain and frequency domain -Duality
    00:55
  • Polar Notation
    02:50
  • Coding : Rectangular to Polar conversion
    08:41
  • Coding : Polar to Rectangular conversion
    06:48
  • Introduction to Spectral Analysis
    02:31
  • The Frequency Response
    03:34

  • The Complex Number System
    02:05
  • Polar Representation of Complex Numbers
    01:35
  • Euler's Relation
    01:35
  • Representation of Sinusoids
    01:57
  • Representing Systems
    01:34

  • Introduction to Complex Fourier Transform
    01:43
  • Mathematical Equivalence
    01:38
  • The Complex DFT Equation
    00:36
  • Comparing Real DFT and Complex DFT
    03:17

Instructor

Israel Gbati
Embedded Firmware Engineer
Israel Gbati
  • 4.1 Instructor Rating
  • 9,219 Reviews
  • 63,850 Students
  • 38 Courses

My name is Israel, I have been researching and working in the embedded system space for over 7 years. On Udemy I have trained  tens of thousands of students in embedded systems focusing on topics such as Assembly Programming, Real-time Operating Systems Design, Firmware Development and Digital Signal Processing. I am able to teach these topics because in my everyday work I apply concepts from these topics.

Join one of my courses and see how it goes. You can always request a refund.


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