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Signal Processing Applications in Mechatronics
Assist. Prof. Hülya Yalçın Tel : ext:2580 Class hours : Monday 9:30- 12:30 Office hours : Monday 14:30- 16:30 and anytime through Address : Room 311 in Gümüşsuyu Campus
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Signals Hülya Yalçın ©
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Continuous-time and discrete-time signals
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What is a system? Hülya Yalçın ©
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Today’s lecture: Hülya Yalçın ©
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Linearity Hülya Yalçın ©
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Time-invariance Hülya Yalçın ©
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Linear time-invariant (LTI) systems
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Linear System Models - I
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Linear System Models - II
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Linear System Models - III
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Linear System Models - IV
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Unit Step , Unit Ramp Hülya Yalçın ©
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Unit Impulse Hülya Yalçın ©
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Main Property of Unit Impulse
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Transformations of time
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Examples Hülya Yalçın ©
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Shifted Unit Impulse and the Sifting Property
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Basic Discrete-time Signals
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Periodic Continuous-time Signals
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Periodic Discrete-time Signals
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Next Hülya Yalçın ©
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What is a system? Hülya Yalçın ©
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Causality Hülya Yalçın ©
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Memory Hülya Yalçın ©
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Linearity Hülya Yalçın ©
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Linearity – example 1 Hülya Yalçın ©
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Linearity – example 2 Hülya Yalçın ©
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Linearity – example 3 Hülya Yalçın ©
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Linearity – example 4 Hülya Yalçın ©
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Time - Invariance Hülya Yalçın ©
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Time – Invariance : Example 1
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Time – Invariance : Example 2
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Time – Invariance : Example 3
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Linear time-invariant (LTI) systems
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LTI systems via differential equations
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The Unit Pulse Response
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The Unit Pulse Response - continued
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Convolution Representation
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Convolution of discrete-time signals
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Useful properties of Convolution
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Convolution Representation
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Computing Discrete Convolution: flip and shift
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Computing Discrete Convolution: example
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Computing Discrete Convolution: example cont’
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Convolution representation of continuous-time systems
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The unit impulse response
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The shifted unit impulse response
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Derivation of the convolution representation
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Derivation of the convolution representation
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Derivation of the convolution representation
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Convolution of continuous-time signals
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Additional properties of the convolution
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Computing convolution integrals: example 1
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Computing convolution integrals: example 2
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Computing convolution integrals: example 2
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Computing convolution integrals: example 2
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Fourier Series Hülya Yalçın ©
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Review: vectors Hülya Yalçın ©
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Vector Spaces Hülya Yalçın ©
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Signal Spaces Hülya Yalçın ©
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The space of periodic signals
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Complete orthonormal sets of functions
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Fourier Series Hülya Yalçın ©
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Fourier Coefficients Hülya Yalçın ©
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Convergence of Fourier Series
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Trigonometric Fourier Series
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Trigonometric Fourier Series
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Trigonometric Fourier Series
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Symmetry Properties Hülya Yalçın ©
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Trigonometric Fourier series: example
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Trigonometric Fourier series: example
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Complex Exponential Fourier Series
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Complex Exponential Fourier Series
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Symmetry Properties for real signals
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Amplitude and phase spectra
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Fourier Transform Hülya Yalçın ©
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Recap: Fourier Series Hülya Yalçın ©
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Spectral content of aperiodic signals: the Fourier transform
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Example: rectangular pulse
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Inverse Fourier Transform
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Properties of Fourier Transform
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Properties of Fourier Transform: Linearity
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Properties of Fourier Transform: Time-shift
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Multiplication by a complex exponential
Multiplication by a cosine Hülya Yalçın ©
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Convolution in time-domain
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Parseval’s Theorem Hülya Yalçın ©
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Duality Example Hülya Yalçın ©
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Generalized Fourier Transform
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Fourier Transform of cosine
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Fourier transform of a periodic signal
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Bandlimited and timelimited signals
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Frequency response of LTI systems
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