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Advanced Digital Signal Processing on ARM Processors

Original price was: $20.00.Current price is: $5.00.

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Description

Published 3/2026
Created by BHM Engineering Academy, Israel Gbati
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 101 Lectures ( 15h 17m ) | Size: 7.69 GB

Filter Design, FFT, Realtime DSP, CMSIS-DSP

What you’ll learn
✓ Master real-time DSP implementation using RTOS on ARM Cortex microcontrollers.
✓ Gain proficiency in fixed-point arithmetic for efficient DSP applications.
✓ Design and optimize FIR and IIR filters for ARM processors.
✓ Implement and understand FFT algorithms
✓ Utilize ARM Cortex-M SIMD instructions for high-performance DSP
✓ Develop skills in adaptive and Kalman filter design and application.
✓ Select and apply appropriate window functions in DSP filter design.

Requirements
● NUCLEO-F411 Development Board

Description
Welcome to the “Advanced Digital Signal Processing on ARM Processors” course. Whether you’re just stepping into the realm of microcontrollers or you’re an experienced engineer, this course is carefully crafted to elevate your understanding and teach you optimised DSP techniques, tools, and methodologies on ARM Cortex microcontrollers.

We delve deep into the intricacies of fixed-point arithmetic and explore how this digital technique drives efficient DSP applications.We will understand the computational capabilities brought forth by ARM Cortex-M SIMD instructions, making real-time processing not just possible but seamless.

We develop classic filters like FIR & IIR filters to modern filters like adaptive filters, this course has it all. We will navigate the complexities of the Fast Fourier Transform, spanning from its foundational concepts to advanced RADIX-4 algorithms.

But we don’t stop there! Our comprehensive segments on Kalman filters, RTOS in DSP, buffering techniques, and the powerful CMSIS-DSP library ensure you’re equipped with cutting-edge skills and knowledge.

Each module is enriched with clear explanations, real-world examples, and hands-on exercises, making the learning journey both engaging and impactful. This course promises not just theoretical insights but also the practical know-how to implement and optimize DSP tasks on ARM Cortex Microcontrollers.

Realtime Signal Processing with RTOS

• Introduction to Realtime Operating Systems (RTOS) in DSP

• Task Scheduling and Prioritization for DSP Tasks

• Implementing Realtime DSP Algorithms with RTOS on ARM Cortex

• Challenges and Solutions for Realtime DSP

Fixed-point Arithmetic for Digital Signal Processing


Basics of Fixed-point Arithmetic

• Fixed-point Representation

• Overflow and Rounding

• Benefits of Fixed-point Arithmetic in DSP

ARM Cortex-M SIMD Instructions

• Introduction to SIMD

• SIMD on ARM Cortex-M4: Detailed Review

• Use Cases and Benefits

Finite Impulse Response (FIR) Filters

• FIR Filter Equation

• Understanding the Structure of FIR Filters

• FIR Filter Design and Implementation on ARM

Infinite Impulse Response (IIR) Filters


IIR Filter Equation

• Understanding the Structure of IIR Filters

• IIR Filter Design and Implementation on ARM

• Stability and Performance

Kalman Filters


Introduction to Kalman Filters

• Theory and Formulation

• Implementation and Applications on ARM Cortex Microcontrollers

Adaptive Filters

• Introduction to Adaptive Filters

• Types and Applications

• Implementation on ARM Cortex Microcontrollers

Window Functions in DSP

• Introduction to Window Functions

• Rectangular, Hann, Hamming, and Blackman Windows

• Window Function Properties: Sidelobe Fall-off, Mainlobe Width, etc.

• Application in FIR Filter Design

• Comparative Analysis: Choosing the Right Window

Fast Fourier Transform (FFT)

• Understanding FFT

• Development of the FFT Algorithm with RADIX-2

• Development of the FFT Algorithm with RADIX-4

…much more

Who this course is for
■ Embedded Systems Engineers and Professionals: Those already working in the field of embedded systems, looking to enhance their skills in DSP, particularly in ARM Cortex microcontroller applications.
■ Electrical and Electronics Engineering Students: Undergraduate and graduate students specializing in electrical, electronics, or computer engineering who are eager to acquire practical, industry-relevant DSP skills.
■ Software Developers in Embedded Systems: Programmers and software developers venturing into the embedded systems domain, seeking to strengthen their understanding of DSP on ARM platforms.
■ Technical Researchers and Academicians: Individuals involved in research or teaching in areas related to DSP, microcontrollers, or embedded systems, looking to update their knowledge with the latest DSP techniques and ARM architectures.

Homepage

https://anonymz.com/?https://www.udemy.com/course/advanced-digital-signal-processing-on-arm-processors

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