This course will introduce the basic concepts and techniques for processing signals on a computer. By the end of the course, students will be familiar with the most important methods in Digital Signal Processing (DSP), including digital filter design and transform-domain processing. The course emphasizes intuitive understanding and practical implementations of the theoretical concepts using the Matlab environment.

Introduction to digital signal processing and its applications. Analog/digital input/output interfaces for real time systems. Discrete transforms, Discrete Fourier transform. Fast Fourier transform, inverseFFT, and discrete transforms. Z-transorm and applications. Extracting correlation and convolution function. Training algorithms for digital signal processing and speech recognition. Digital filter design. Finite impulse response (FIR) digital filter design. Window-based FIR filter design. FIR filter design by frequency sampling. Recursive (IIR) digital filter design. Adaptive digital filters.