Digital Signal Processing

Digital Signal Processing

Explore a comprehensive 12-hour course on digital signal processing, covering fundamental concepts and advanced techniques. Begin with an introduction to DSP and progress through frequency domain sampling, discrete Fourier transforms, and their properties. Master DFT computation methods, including matrix and FFT algorithms. Dive into circular and linear convolution, overlap methods, and FIR filter design using various windows. Examine digital filter representations, DSP architecture, and hardware units. Study fixed-point and floating-point formats in digital signal processors. Conclude with an in-depth look at IIR filter design, including bilinear transformation and Butterworth filter problems. Gain practical problem-solving skills through numerous examples and applications throughout the course.