Digital Signal Processing is a theoretical and simulation-based curriculum, where students need to analyze and characterize analog / experimental signals using commonly used signal-processing tools based on what they have learned. Through these signal processing technologies, such as spectral analysis, time-frequency filter design and analysis, master students with mechanical and power specialty background can understand signal analysis, feature extraction and recognition for their basic theories, application examples in the field of engineering, which lay a solid foundation for carrying out research projects and preparation of their dissertations.