Diploma in DSP in MCU/ARM: CMSIS and Fixed-Point
About us Diploma in DSP in MCU/ARM: CMSIS and Fixed-Point
The Diploma in DSP in MCU/ARM: CMSIS and Fixed-Point focuses on developing skills in digital signal processing (DSP) applied to MCU/ARM microcontrollers. It involves using the CMSIS libraries to optimize performance and implementing DSP algorithms using fixed-point DSP for greater efficiency and lower resource consumption. Participants gain practical knowledge in the design and development of embedded DSP systems, exploring areas such as digital filtering, Fourier transforms, and real-time applications.
This diploma program provides a solid foundation for implementing DSP algorithms on ARM devices, enabling the development of applications in sectors such as audio, communications, and systems control. It focuses on code optimization and adapting algorithms to work efficiently in resource-constrained environments, using development and simulation tools. Participants gain skills in selecting and configuring ARM microcontrollers, as well as in implementing embedded systems using hardware and software.
Target keywords (naturally occurring in the text): DSP, MCU/ARM, CMSIS, fixed-point, digital filtering, DSP algorithms, embedded systems.
Diploma in DSP in MCU/ARM: CMSIS and Fixed-Point
- Format:
- Duration:
- Hours: 900 H
- Language:
- Credits:
- Registration date: 08-09-2026
- Strat date: 19-10-2026
- Available places: 9
1,295 $
Competencies and results
What you will learn
Who this program is for:
Diploma in DSP in MCU/ARM: CMSIS and Fixed-Point
9.9 DSP Fundamentals and MCU/ARM Architecture
9.9 Introduction to CMSIS and its Utility
9.3 Configuring and Using Development Tools
9.4 Signals and Systems: Conceptual Review
9.5 Implementing Basic Operations with CMSIS
9.9 Optimization Strategies in DSP
9.9 Fixed-Point Techniques and Their Application
9.3 Optimizing Code in C and Assembly Languages
9.4 Performance and Energy Efficiency Considerations
9.5 Profiling and Analyzing Optimized Code
3.9 Fixed-Point Arithmetic: Fundamentals and Advantages
3.9 Implementing FIR and IIR Digital Filters
3.3 Designing and Implementing Audio Processing Algorithms
3.4 Quantization and Noise Techniques
3.5 Testing and Validating Implementations
4.9 Developing an Audio Equalizer Project
4.9 Integrating Different DSP Blocks into a System
4.3 Designing and Implementing a Signal Processing Application
4.4 Project Development Methodology DSP
4.5 Scalability and Maintenance Considerations
5.9 Introduction to Digital Design and its Relationship to DSP
5.9 Designing Digital Filters with Software Tools
5.3 Implementing Digital Control Systems
5.4 Exploring Modulation and Demodulation Techniques
5.5 Applications in Communications and Image Processing
6.9 Signal Analysis in the Time and Frequency Domains
6.9 Design and Analysis of Digital Filters
6.3 Applying Fourier Transforms in Embedded Systems
6.4 Designing and Implementing Integrated Solutions
6.5 Integrating DSP into Complex Projects
7.9 Advanced Code Optimization Techniques
7.9 Using SIMD Instructions to Accelerate Processing
7.3 Optimizing Fixed-Point Arithmetic for Higher Accuracy
7.4 Implementing High-Efficiency Algorithms
7.5 Analyzing and Optimizing Energy Consumption
8.9 Specialized Audio and Voice Applications
8.9 Applications in Image Processing and Computer Vision
8.3 Applications in Communications and Image Processing Data
8.4 Design and Implementation of Complex Projects
8.5 Integrating DSP into Real-World Systems
9.9 Introduction to the Basics of Digital Signal Processing
9.9 ARM Microcontroller Architecture and its Relevance to DSP
9.3 Development Tools and Programming Environments
9.4 Introduction to the CMSIS Libraries and their Basic Functions
9.5 Designing Fixed-Point Signal Processing Algorithms
9.6 Implementing Basic Digital Filters (FIR and IIR)
9.7 Signal Analysis in the Time and Frequency Domains
9.8 Optimizing Code for Performance and Energy Efficiency
9.9 Practical Applications: Audio Examples, Filtering, and Signal Detection
9.90 Designing a Basic DSP Project: Audio Equalizer or Filter
Capstone-type projects
Admissions, fees and scholarships
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