Discrete signals and systems, discrete-time Fourier transform, z-transform. Digital processing of analog signals, sampling, and interpolation. Vector spaces and linear transforms, signal space. Discrete Fourier Transform, its computation, and applications. FIR and IIR filter design. Wavelet transform. Short-time Fourier transform. Sampling rate change by digital processing. Random signals. Quantization. Introduction to signal restoration.
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| Dönem | Course CPA | |
|---|---|---|
| 2025-2026 Fall | 2.55 | 1 sec · 58 öğr |
| 2024-2025 Fall | 2.99 | 1 sec · 25 öğr |
| 2024-2025 Spring | 2.68 | 1 sec · 85 öğr |
| 2023-2024 Fall | 2.24 | 1 sec · 59 öğr |
| 2023-2024 Spring | 2.41 | 1 sec · 36 öğr |
| 2022-2023 Fall | 1.91 | 2 sec · 86 öğr |
| 2022-2023 Spring | 2.15 | 1 sec · 31 öğr |
| 2021-2022 Fall | 2.43 | 1 sec · 60 öğr |
| 2021-2022 Spring | 2.46 | 1 sec · 18 öğr |
| 2020-2021 Fall | 2.57 | 1 sec · 22 öğr |
Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.
The total points collected from the midterm and quiz(zes) should be at least 20% of the total contribution of the midterm and quiz(zes).
Introduction to digital signal processing and its applications. Review of discrete signals and systems, discrete-time Fourier transform and z-transform Digital processing of analog signals; sampling and interpolation Vector space framework for signals and linear systems Signal space, basis functions, signal decompositions, approximations Discrete Fourier Transform (DFT) Computation and applications of DFT FIR and IIR filter design Continuous and discrete wavelet transform Continuous and discrete wavelet transform Short-time Fourier transform Sampling rate change by digital processing Random signals; autocorrelation and power spectral density; stationarity and ergodicity. Quantization and its effects Introduction to signal restoration in the presence of noise, Wiener filter ECTS - Workload Table: Activities Number Hours Workload Preparation for Quiz 10 4 40 Course hours 14 3 42 Preparation for Final exam 1 25 25 Preparation for Midterm exam 2 20 40 Midterm exam 2 2 4 Quiz 10 1 10 Final exam 1 3 3 Homework 6 5 30 Total Workload: 194 Total Workload / 30: 194 / 30 6.47 ECTS Credits of the Course: 6,5 Type of Course: Lecture Teaching Methods: Assignment - Exercises - Lecture