Digital Signal Processing_Xử lý tín hiệu số

Digital Signal Processing (DSP) is a fundamental course that provides undergraduate engineering students with core theoretical knowledge and practical techniques for the analysis, processing, and design of discrete-time signal processing systems. The course covers discrete-time signals and systems, sampling theory, the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT), digital filter design using FIR and IIR structures, quadrature (I/Q) signal representation, and practical DSP implementation techniques. Upon completion of the course, students will be able to analyze signal spectra, design digital filters, and apply DSP methods to engineering applications such as digital communications, measurement systems, audio signal processing, and embedded systems.