DSP From Ground Up™ on ARM Processors [UPDATED]

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-09-23
Learners

No Information
Duration

No Information
Instructor

Israel GbatiBHM Engineering Academy

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4.7

4,017 Ratings

Unlock the world of practical Digital Signal Processing (DSP) on ARM processors with this comprehensive course. Learn the foundations of signal processing without complicated mathematical derivations, and delve into key topics such as signal statistics, filter design, convolution, and the Discrete Fourier Transform (DFT). Develop DSP algorithms step-by-step, implement digital filters from scratch, and create drivers and data structures for signal acquisition. With hands-on exercises and real-world applications on live signals, this course equips you to write practical DSP algorithms without the need for an engineering degree. Join 3000+ students who have already benefited from this course and discover the power of DSP on ARM processors.

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DSP From Ground Up™ on ARM Processors [UPDATED]

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 24th, 2023]

Welcome to the "DSP From Ground Up™ on ARM Processors [UPDATED]" course, an exciting journey into the realm of Digital Signal Processing (DSP) on ARM processors. This course is designed to empower you with practical knowledge, eliminating the complexity of mathematical theories often associated with signal processing. By following a step-by-step approach, you will grasp the essential foundations of signal processing, including signal statistics, quantization, and filter design. Next, you'll dive into developing DSP algorithms practically, using pre-acquired and generated signals for focused learning. Algorithm implementation using the CMSIS-DSP library will provide valuable insights into performance comparison. To enable signal acquisition, you'll create ADC drivers and data structures. Master the design and implementation of digital filters like the Moving Average Filter, Finite Impulse Response (FIR) Filter, and Infinite Impulse Response (IIR) Filter from scratch. The course also covers the application of DSP techniques on live signals acquired from the microcontroller's ADC. Throughout the course, complex concepts are explained in plain language, making DSP accessible to students without a specialized engineering background. Join over 3000 satisfied students and unlock the power of practical DSP on ARM processors. Enroll now with confidence, as the course offers a full money-back guarantee.

Course Syllabus

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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