Chapter 2. Math Tools. Prince. Flashcards

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1
Q

Point impulse (impulse function)

A

Is used as the input signal to characterize the response of a system, which is the impulse response.

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2
Q

Comb and sampling functions, rect and sinc functions, and exponential and sinusoid all signals

A

Are used to help describe and characterize signaling systems

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3
Q

A system is linear if

A

When the input consists of a collection of signals, the output is a summation of the responses of the system to each individual input signal

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4
Q

A system is shift invariant if

A

An arbitrary translation of the input signal results in an identical translation of the output

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5
Q

A signal is separable if

A

It can be represented as the product of 1D signals

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6
Q

Fourier transform

A

Represents signals as a sum of sinusoids of different frequencies with associated magnitude and phase

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7
Q

Transfer function

A

The Fourier space analog of the impulse response

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8
Q

Output of a linear shift invariant system

A

The convolution of the input with the impulse response; in Fourier space, it is the product of the Fourier transform of the input and the transfer function

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9
Q

Continuous signals

A

Are transformed by sampling or discretization into discrete signals in order to be digitally represented

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10
Q

Aliasing

A

Is caused by improper sampling of a continuous signal, yielding artifacts in the resulting digital image

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11
Q

Signals

A

Mathematical functions. They can be discrete, continuous or mixed.

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12
Q

A system is linear if it satisfies:

A
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13
Q

Sifting property of the delta function

A
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14
Q

Linear property of delta function

A
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15
Q

L has the property of “shift invariance”

A
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16
Q

Linear Shift Invariant system (LSI)

A

The output is determined by the convolution of the input and the PSF

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17
Q

Convolution

A
18
Q

Connections of LSI Systems:

A
19
Q

Seperable systems

A
20
Q

1D Fourier Transform

A
21
Q

Rect and Sinc

A
22
Q

Fourier transform relationship of rect and sinc

A
23
Q

Linearity of Fourier Transform

A
24
Q

Scaling of Fourier Transform

A
25
Q

Shifting Property of Fourier transform

A
26
Q

Convolution Property of Fourier Transform

A
27
Q

Separable input property of Fourier Transform

A
28
Q

Parseval’s Theorem Fourier Transform

A
29
Q

Product Property of Fourier transform

A
30
Q

Impulse Property of Fourier transform

A
31
Q

Constant property of Fourier Transform

A
32
Q

comb function

A
33
Q

Fourier Transform of the comb function

A
34
Q

sampling function

A
35
Q

scaling property of the delta function

A
36
Q

relation of sampling function and comb function

A
37
Q

Sampled signal is

A
38
Q

FT of the sampled signal

A
39
Q

Fourier Transform

A
40
Q

Convolution of Fourier Transform

A
41
Q

Parseval’s Theorem

A
42
Q

Product of Fourier Transform

A