DSP From Ground UpTM on ARM Processors [UPDATED]

Learn Digital Signal Processing (DSP) on Arm Processors – No Engineering Degree Required!

This comprehensive course provides a practical introduction to digital signal processing fundamentals, empowering you to develop DSP algorithms without complex mathematical derivations. Ideal for embedded systems developers, this course is updated and refined based on feedback from over 3000 students.

What You'll Master:

• DSP Foundations: Grasp essential signal processing concepts step-by-step, including:

  • Signal Statistics & Noise: Understand and mitigate noise in your signals.
  • Quantization & Sampling Theorem: Master the principles of converting analog signals to digital.
  • Analog Filter Design: Learn the theory behind various analog filters.
  • Filter Performance Metrics: Compare and contrast Chebyshev, Butterworth, and Bessel filters.
  • Linear Systems: Understand the properties of linear systems.
  • FIR Filters (Finite Impulse Response): Design and implement FIR filters.
  • IIR Filters (Infinite Impulse Response): Design and implement IIR filters.
  • Superposition, Synthesis, and Decomposition: Fundamental signal manipulation techniques.
  • Convolution: Understand and apply convolution operations.
  • Discrete Fourier Transform (DFT) & IDFT: Utilize the DFT for frequency analysis.

• Algorithm Development: Develop practical DSP algorithms using pre-acquired and generated signals for testing. Focus is on algorithm development and validation, not signal acquisition. You'll implement:

  • Signal Statistics Algorithms: Calculate signal mean, standard deviation, and variance.
  • Convolution Algorithm: Implement the convolution operation.
  • Running Sum Algorithm: Efficiently compute running sums.
  • DFT Algorithm: Implement the Discrete Fourier Transform.
  • IDFT Algorithm: Implement the Inverse Discrete Fourier Transform.

• CMSIS-DSP Integration: Implement algorithms using the CMSIS-DSP library and compare performance to optimized library implementations.

• Signal Acquisition Drivers: Develop essential components for real-world applications:

  • Bare-Metal ADC Driver: Acquire signals directly from the ADC.
  • FIFO Data Structure: Efficiently store and manage acquired signal data using a First-In-First-Out (FIFO) structure.

• Digital Filter Design & Implementation:

  • Moving Average Filter: Implement a simple moving average filter.
  • FIR Filter Implementation: Implement Finite Impulse Response (FIR) filters.
  • IIR Filter Implementation: Implement Infinite Impulse Response (IIR) filters.
  • MATLAB Filter Kernel Design: Design filter kernels using MATLAB.

• Real-Time DSP Applications: Apply learned techniques to process live signals from a microcontroller's ADC.

Why Choose This Course?

• Practical, Hands-On Learning: Focus on building and testing DSP algorithms.
• No Complex Math: Understand signal processing concepts without heavy mathematical derivations.
• Real-World Relevance: Learn to apply DSP to practical embedded systems problems.
• Proven Results: Taught to over 3000 students with excellent reviews.
• Money-Back Guarantee: Try the course risk-free.

Unlock the power of digital signal processing and build innovative embedded systems. Enroll today!