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EHB 315E - Sayısal Sinyal İşleme

Dersin Amaçları

Understand the concept of sampling of continuous-time signals to produce discrete-time signals and the importance and application of the Nyquist sampling theorem.

o Understand discrete Fourier transforms and be able to use them to characterize discrete-time signals.

o Understand z-transforms and be able to use them to characterize discrete-time signals.

o Understand discrete-time systems and the concepts of linearity, causality, and stability. Know how to characterize linear time-invariant discrete-time systems in the time domain through the use of convolution (impulse response) and difference equations. Know how to characterize linear time-invariant discrete-time systems in the frequency domain through the use of discrete-time Fourier transforms (frequency response) and z-transforms (transfer functions).

o Know how to represent discrete-time systems using block diagrams. Know how to determine the stability of discrete-time systems in both the time domain and frequency domain. Know techniques for implementation of discrete-time systems.

o Understand the basic concepts of infinite-impulse-response digital filters, finite-impulse-response digital filters. Know how to design finite- and infinite impulse-response filters. Understand the concept of the fast Fourier transform.

Dersin Tanımı

TEL 315E Digital Signal Processing Güz 2017

Öğretim Üyesi: Prof. Dr. Tayfun Akgül [Oda no: 2301, Tel: 285 3605]
Gün ve Saat: Monday, 13:30 - 16:30

Text Books:
1- Discrete-Time Signal Processing”, Oppenheim and Schafer, Prentice-Hall, 3rd edition, 2010.
2- J. G. Proakis and D. G. Manolakis, Digital Signal Processing, Prentice-Hill, 1996.
3- A. H . Kayran, E. M. Ekşioğlu, Sayısal İşaret İşleme, Birsen Yayınevi, 2004.
Course Outline:
o Introduction
o Continuous and discrete-time
o Analog-to-digital (A/D) and digital-to-analog (D/A) conversion
o Signals, systems and signal processing
o Discrete-time signals
o Discrete-time Linear Time-invariant (LTI) systems
o Application of LTI systems
o Time-domain analysis of discrete-time LTI systems
o Difference equations
o Convolution-Summation representation
o Properties of discrete-time LTI systems
o z-transform and its properties
o Inverse z-transform
o Analysis of discrete-time LTI systems using z-transform
o Frequency domain analysis of discrete-time signals
o Filter design
o Discrete-time Fourier Transform (DTFT)
o Discrete Fourier Transfrom (DFT)
o Fast Fourier Transform (FFT)
o Random signals
o Noise
o DSP applications to speech, image and geophysical signals.
Homework: Homework will be assigned during lecture periods and will be collected (will be graded by the teaching assistant).
Quizzes and exams: There will be 5-7 quizzes (10-15 min each), plus two midtem exams (two hours) and the final exam (two hours).
NO MAKE-UP QUIZZES OR NO MAKE-UP EXAMS WILL BE GIVEN.
Grading: The course grade will be based on the performance on homework, quizzes, midterm exams and the final exam. Class participation is also evaluated. The course grade will be determined based on the following formula:

Grade=(Homework+Quizzes)*0.20+2*Midterm*0.20+Final*0.40

Academic Integrity: Homework and examinations are expected to be the sole effort of the student submitting the work. Copying homework or exams mean cheating which yield to
i-) FAIL the course (VF), ii-) face disciplinary action.

Koordinatörleri
Tayfun Akgül
Dersin Dili
İngilizce
 
 
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