Fourier pööre signaalitöötluses

Kontrollküsimused 3. osa kohta

There are several kernels for 2D image blurring. Two common kernels are the Boxcar and Gauss. Which of these 2 creates less distortions and is preferred, but is slightly more complex to compute?

Single SideBand suppressed carrier (SSB) is a technique used for amplitude modulation. What are the reasons to use it?

Consider these two kernels:

A)

lowpass.png

B)

highpass.png

Connect right filter with right kernel.

A
highpass

Unselect

lowpass

Unselect

B
highpass

Unselect

lowpass

Unselect

Consider these spectra:

A)

am_spectrum.gif

B)

bpsk_spectrum.gif

C)

fm_rec6.gif

A
Amplitude modulation

Unselect

Phase shift keying

Unselect

Frequency modulation

Unselect

B
Amplitude modulation

Unselect

Phase shift keying

Unselect

Frequency modulation

Unselect

C
Amplitude modulation

Unselect

Phase shift keying

Unselect

Frequency modulation

Unselect

Low-pass filters are commonly used to filter out high-frequency noise. Ideal filter has very sharp frequency response. That means up to a given frequency f_l all the frequency components are passed and over that frequency f_l all frequency components are completely discarded.

All real filters have softer transition from passed to blocked frequencies.

Consider these kernels:

A)

sinc.png

B)

sinc_full.png

C)

pnnradialbasisfunction.jpg

Connect the time-domain kernels (impulse response) with the corresponding edge sharpness.

A
Sharpest frequency response edge

Unselect

Medium frequency response edge

Unselect

Soft frequency response edge

Unselect

B
Sharpest frequency response edge

Unselect

Medium frequency response edge

Unselect

Soft frequency response edge

Unselect

C
Sharpest frequency response edge

Unselect

Medium frequency response edge

Unselect

Soft frequency response edge

Unselect


 

Accept Cookies