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: 7.7 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
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