Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

DSP > Midterm Examination > Flashcards

Midterm Examination Flashcards

1
Q

DSP stands for?

A

Digital Signal Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

is the process of analyzing and modifying a
signal to optimize or improve its efficiency or
performance.

A

Digital Signal Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

is concerned with the representation of signals
by sequence of numbers or symbols and the
processing of these sequences

A

Digital Signal Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

is an electrical or electromagnetic
current that is used for carrying data from one
device or network to another

A

Signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

can be define as a function that
conveys information, generally about the state
or behavior of a physical system

A

Signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

are those signals for which both time and amplitude are continuous.

A

Analog signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

are those signals that are defined only at discrete units of time

A

Discrete signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Involves analyzing, modifying, and synthesizing signals to
pull meaning out of it.

A

Signal Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Two classifications of signal processing:

A

Analog Signal Processing
Digital Signal Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

deals with transformation of
analog signals

A

Analog signal processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

deals with the processing of discrete signals

A

Digital signal processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Block diagram of a Digital Processing system

A

Pre-filter
ADC
DSP
DAC
Post-filter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

used to filter out unwanted high-frequency components from
raw analog input signal.

A

Pre-filter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

converts analog signals to digital signals

A

ADC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

the digital signal is analyzed and processed and the synthesized output is fed to DAC

A

DSP

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

converts digital signals back to analog signals.

A

DAC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Used to filter out unwanted high-frequency components in
the generated analog signal

A

Post-filter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Applications of DSP System: (5)

A

Speech and Audio Processing;
Image and Video Processing;
Military and Telecommunications;
Healthcare and Biomedical sector; and
Consumer electronics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

This involves speech recognition and analysis
noise filtering, echo cancellation, etc.

A

Speech and Audio Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

This involves compression, enhancement,
reconstruction and restoration of images and
videos.

A

Image and Video Processing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Example radar tracking, modulation and
demodulation

A

Military and Telecommunications

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Example analysis of ECG and X-ray signal

A

Healthcare and Biomedical sector

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Most digital equipment like smartphones,
televisions, digital cameras, etc. it has DSP
embedded on it to accelerate its
performance

A

Consumer electronics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

In electrical engineering, the fundamental
quantity of representing some information is
called a?

A

Signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

is a function that conveys some information

A

Signal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
26
Q

Analog signals are denoted by?

A

Sine waves

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
27
Q

are less accurate than analog signals because they are discrete samples of an analog signal taken over some period of time.

A

Digital signal

28
Q

Digital signals are denoted by?

A

Square waves

29
Q

is defined by the type of input and output it deals with.

A

System

30
Q

In systems, the input is known as _____and the output is known as _____.

A

Excitation;
Response

31
Q

Conversion of Analog to Digital Signals: (2)

A

Sampling;
Quantization

32
Q

can be defined as taking samples. It is done on an independent variable.

A

Sampling

33
Q

can be defined as dividing into quanta (partitions). It is done on a dependent variable.

A

Quantization

34
Q

The types of systems whose input and output both are continuous signals or analog signals is called?

A

Continuous Systems

35
Q

The type of systems whose input and output both are discrete signals or digital signals is called?

A

Discrete Systems

36
Q

The signals which are defined only at discrete instants of time are known as?

A

Discrete time signals

37
Q

A discrete time signal may be represented in any one of the following four ways −

A

 Graphical Representation
 Functional Representation
 Tabular Representation
 Sequence Representation

38
Q

Who invented Fourier Series?

A

Jean Baptiste Joseph Fourier (Auxerre, France)

39
Q

is a way of representing a periodic function as a (possibly infinite) sum of sine and cosine functions

A

Fourier Series

40
Q

represents functions as possibly infinite sums of a monomial term

A

Taylor Series

41
Q

Applications of Fourier Series: (6)

A

 Signal processing
 Image processing
 Heat distribution mapping
 Wave simplification
 Light Simplification(Interference, Diffraction)
 Radiation measurements and so on…

42
Q

The time and frequency domains are alternative ways of representing signals. _____ is the mathematical relationship between these two representations.

A

Fourier transform

43
Q

Applications of Fourier Transform: (6)

A

Image Processing
Voice recognition
Astronomy
Geophysics
Forensics
Fingerprint / Iris recognition

44
Q

What are the Fourier Transform properties? (7)

A

Duality
Linearity
Scaling
Time Shifting
Frequency Shifting (Modulation)
Parseval’s Theorem
Convolution Theorem

45
Q

only applicable to periodic signals

A

Fourier Series

46
Q

Fourier developed a mathematical model to transform signals between the time domain to the frequency domain & vice versa, which is called?

A

Fourier Transform

47
Q

can be represented using discrete frequencies

A

Periodic signals

48
Q

The combination of periodic and aperiodic signals generates four categories:

A

Aperiodic-Continuous;
Periodic-Continuous;
Aperiodic-Discrete;
Periodic-Discrete

49
Q

These signals extend to both positive and negative infinity without repeating in a periodic pattern.

A

Aperiodic-Continuous (Fourier Transform)

50
Q

any waveform that repeats itself in a regular pattern from negative to positive infinity

A

Periodic-Continuous (Fourier Series)

51
Q

These signals are only defined at discrete points between positive and negative infinity and do not repeat themselves in a periodic fashion.

A

Aperiodic-Discrete (Discrete Time Fourier Transform)

52
Q

These are discrete signals that repeat themselves in a periodic fashion from negative to positive infinity.

A

Periodic-Discrete (Discrete Fourier Transform)

53
Q

It is a mapping between domains

A

Transform

54
Q

Filters: (4)

A

A. Low Pass Filter
B. High Pass Filter
C. Band pass Filter
D. Band Stop Filter or (Notch Filter)

55
Q

is a mathematical operation used to express the relation between the input and output of an LTI system.

A

Convolution

56
Q

There are two types of convolutions:

A

Continuous and Discrete convolution

57
Q

Continuous Convolution formula:

A

y(t) = x(t) * h(t)

58
Q

DiscreteConvolution formula:

A

y(n) = x(n) * h(n)

59
Q

Is reverse process of convolution is widely used in signal and image processing.

A

Deconvolution

60
Q

Convolution of two causal sequences is

A

Causal

61
Q

The convolution of two anti-causal sequences is

A

Anti causal

62
Q

Convolution of two unequal-length rectangles results a

A

Trapezium

63
Q

Convolution of two equal-length rectangles results in a

A

Triangle

64
Q

It is a measure of similarity between signals and is found using a process similar to convolution

A

Correlation

65
Q

It is used to compare two signals

A

Correlation

66
Q

Correlation has two types:

A

Cross-Correlation and Autocorrelation

67
Q

Cross-Correlation:

A

R(n) = x(n) * y(-n)

DSP (1 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions