Brief Introduction
Digital Signal Processing on ARM : FFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems, CorrelationDescription
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.
Requirements
- Requirements
- Having basic C programming skills is a plus
- You will need an STM32F411-DISCO Board
Knowledge
- 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)
FreeRTOS From Ground Up™ on ARM Processors
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RTOS : Build RealTime embedded applications with FreeRTOS. Practice on STM32 and TIVA C boards This course does not assume prior knowledge of real-time systems and application programming....
DSP From Ground Up™ on ARM Processors
- 0.0
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Digital Signal Processing on ARM : FFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems, Correlation Please take a look at the full course curriculum....
