Digital Signal Processing (DSP) From Ground UpTM in C

Gain a strong foundation in Digital Signal Processing (DSP) with this practical, programming-focused course. We break down complex concepts into easy-to-understand techniques, avoiding heavy mathematical theory. Learn by doing, with clear explanations and real-world applications.

This course empowers you to implement essential DSP algorithms using the C programming language. You'll gain hands-on experience with a variety of DSP techniques, adaptable to different programming languages and hardware architectures.

Here's what you'll master:

• Convolution Kernel Algorithm: Develop and implement this fundamental DSP algorithm in C.
• Discrete Fourier Transform (DFT): Learn and code the DFT algorithm in C for frequency analysis.
• Inverse Discrete Fourier Transform (IDFT): Implement the IDFT algorithm in C to reconstruct signals.
• Finite Impulse Response (FIR) Filters: Design and develop FIR filters in C for signal shaping.
• Infinite Impulse Response (IIR) Filters: Design and develop IIR filters in C for advanced filtering applications.
• Windowed-Sinc Filters: Implement Windowed-Sinc filters in C for improved filter performance.
• Modified Sallen-Key Filters: Build Modified Sallen-Key filters for specific circuit designs.
• Bessel, Chebyshev, and Butterworth Filters: Design and implement various types of analog filters using DSP principles in C.
• Fast Fourier Transform (FFT): Develop the efficient FFT algorithm in C for faster DFT computation.

By the end of this course, you'll be equipped to develop and implement a wide range of DSP applications, with the confidence to even teach a DSP lecture. Explore the complete course curriculum to discover all the skills you'll acquire.