Digital Signal Processing

Digital Signal Processing

Principles, Algorithms and Applications

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1. Fundamentals of Digital Signal Processing (DSP): ¿Introduce the core principles of DSP, including discrete-time signals, systems, and their representation. Cover essential concepts like sampling, quantization, and the importance of the Nyquist theorem in signal reconstruction. 2. Transform Techniques and Algorithms: ¿Explore transform methods used in DSP, such as the Fourier Transform (FT), Discrete Fourier Transform (DFT), and Fast Fourier Transform (FFT). Include the Z-transform and its role in analyzing and designing digital filters. 3. Digital Filters Design and Applications: ¿Discus...