Engineering Digital Signal Processing with MATLAB

Digital signal processing is the backbone of modern communication, audio engineering, and sensor data analysis. Understanding how to manipulate and analyze signals computationally is an essential skill for modern engineers. This text-based course guides you from DSP fundamentals to implementing practical signal processing algorithms in MATLAB. You will develop the confidence to analyze frequencies, design custom filters, and clean noisy signal data using standard engineering workflows. What you'll learn: - Understand fundamental DSP concepts including sampling, quantization, and the Nyquist theorem. - Perform spectral analysis using the Fast Fourier Transform (FFT) to identify frequency components. - Design and implement Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) digital filters. - Apply windowing techniques to minimize spectral leakage in real-world measurements. - Analyze and filter noise from sensor data using practical MATLAB scripts. - Process discrete-time signals and interpret complex frequency domain representations. The course starts with essential mathematical definitions and core signal concepts before moving into spectral analysis and filter design. You will read clear explanations, study structured MATLAB code snippets, and solve practical engineering scenarios. Designed for beginner engineers, students, and technical professionals new to DSP, this course requires no prior signal processing experience. Start reading today to build a solid foundation in digital signal processing.