| Objectives: |
To teach the objective of this course is to introduce digital signal procesing techniques and their applications. Following the description of the properties of discrete-time
signals and systems, frequency-domain signal analysis tools, discrete-time processing
of continuous-time signals, z-transform, frequency-domain analysis of linear and timeinvariant systems, and digital filter design techniques will be investigated. After taking the course, students are expected to have an understanding of the core concepts related to the transform domain analysis of discrete-time signals and systems. |
| Content: |
Introduction to discrete-time systems, and digital signal processing. Discrete time
linear systems, difference equations, discrete convolution, stability. Discrete-time
Fourier transform,analog-to-digital and digital-to-analog conversion, örnekleme. ztransform.Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital
filter design and implementation. Fundamentals of statistical signal processing.
Random processes and power spectrum. Wiener filter. Fundamentals of adaptive
filtering. Steepest descent and LMS algorithms.Fundamentals of time-frequency
analysis. Short-time-Fourier Transform (STFT). Spectrogram. Introductionto timescale analysis and wavelet transforms |