h264, yuv420p, 1280×720 |ENGLISH, aac, 4100 Hz, 2 channels | 11h 58 mn | 8 GB
Created by: Israel Gbati
Digital Signal Processing on ARM : FFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems, Correlation
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
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
Password/解压密码0daydown
Download rapidgator
Download nitroflare