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Test your basic knowledge |
DSP: Digital Signal Processing
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 46 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Obtained by recording the values of x(t) at equally spaced time instants - the result is a sequence of numbers whose individual values are samples of the analog signal
Sampled Data Signal
Modulation index
Discrete Time Signal
Finite Impulse Response (FIR) Filters
2. Industry Apps / Major Areas: Telecommunications - Audio Processing - ___________ - Image processing
Quantization error equation
Time Invariant Systems
Normalized impulse
Echo Location
3. DSP Applications: - radar and sonar - oil exploration - space exploration - _______
Medical imaging
Normalized impulse
Convolution
Naval DSP applications
4. A formal mathematical operation - takes two signals and produces a third signal
Convolution
Linear Systems
Infinite Impulse Response (IIR) Filters
Aliasing
5. Occur frequently in nature - sound waves - electromagnetic radiation - any type of periodic waveform can be constructed from this signal
Beat Note
Telecommunication
Sinusoidal Signals
Infinite Impulse Response (IIR) Filters
6. Involves music - speech generation - speech recognition
Audio Processing
Linear Systems
Fourier Decomposition
Beat Note
7. The negative half cycle of the function waveform is the same shape as the positive half - except inverted - Both sine and cosine functions have this - Functions with this have only odd harmonics.
Time domain representation
Even Functions
Analog Signals
Half-Wave symmetry
8. Used for two general purposes: (1) separation of signals that have been combined - and (2) restoration of signals that have been distorted in some way.
Naval DSP applications
Digital filters purposes
Impulse Decomposition
Finite Impulse Response (FIR) Filters
9. A phasor rotating in negative (clockwise) direction
Echo Location
Spectrum
Negative frequency
General amplitude modulation
10. Echo Location uses: radar - sonar - _______
Signal
Quantization
Reflection seismology
Rotating phasor
11. Use only the current and past input samples to calculate the current output sample; -no feedback -non recursive filters
Modulation index
Finite Impulse Response (FIR) Filters
Even Functions
Analog Signals
12. Imax-Imin / 2^n - 1
Resolution equation
Fourier theory
Sampled Data Signal
Sinusoidal Signals
13. Equivalent to the principle of superposition - if the input is the sum of two or more scaled sequences - we can find the output of each sequence acting alone - then add (superimpose) the separate scaled output
Impulse Decomposition
Sinusoidal Signals
Aliasing
Linear Systems
14. States any periodic waveform can be approximated by a sum of harmonically related sinusoids
Fourier theory
Impulse Decomposition
Half-Wave symmetry
Rotating phasor
15. Refers to what we are familiar with as the signal itself - with amplitude values plotted against time values
Sampled Data Signal
Normalized impulse
Telecommunication
Time domain representation
16. Uses a relatively low frequency message signal to modulate or vary the frequency of a relatively high frequency carrier signal
Discrete Time Signal
Time domain representation
Frequency Modulation (FM signal processing)
Fourier theory
17. Measurement at regular intervals of the amplitude of a varying waveform (in order to convert it to digital form)
Echo reduction
Linearity
Medical imaging
Sampling
18. The conversion of analog or continuous signals to digital or discrete signals - referred to as analog-to-digital conversion - value of signal is sampled at discrete time intervals; time intervals are usually uniform
Impulse Decomposition
Quantization
DSP
Finite Impulse Response (FIR) Filters
19. Graphical representation of the frequency content of a signal - allows us to quickly and easily see the relationship between different frequency components and their amplitudes
Sampled Data Signal
General amplitude modulation
Spectrum
Beat Note
20. If an input is delayed (shifted) by n0 - then the output is delayed by the same amount
Echo Location
Digital
Rotating phasor
Time Invariant Systems
21. Varying quantity that is a function of time; time is continuous - then the value of the signal can be found at any point in time; - not discrete
Beat Note
Time Invariant Systems
Continuous
Normalized impulse
22. Waveform is symmetrical about the vertical axis or f(x) = f(-x); - Cosine is this function - only have cosine terms and may have a constant.
Time Invariant Systems
General amplitude modulation
Even Functions
Fourier Decomposition
23. Uses a signal that has been quantized into discrete values rather than a continuous signal
Fourier Decomposition
Discrete Time Signal
Fourier theory
Digital
24. Two properties lead to simplifications of mathematical analysis: - __________ - time-invariance
Continuous
Normalized impulse
Medical imaging
Linearity
25. Radar - Sonar - Data Communication
Echo reduction
Quantization error equation
Impulse Decomposition
Naval DSP applications
26. For any sinusoidal signal with fundamental frequency f 0 - there exists an infinite number of ________frequencies or frequencies which are integer multiples of f 0 .
Beat Note
Aliasing
Time Invariant Systems
Harmonic
27. Means that sample number zero has a value of one - while all other samples have a value of zero -delta function is frequently called the unit impulse.
Medical imaging
Sampling
Discrete Time Signal
Normalized impulse
28. Imax-Imin /4*( 2^n - 1)
Telecommunication
Spectrum
Long range passive towed sonar
Quantization error equation
29. Signal comprised of a continuous set of values; -not digital or discrete
Linearity
Analog Signals
General amplitude modulation
Long range passive towed sonar
30. A projection onto real axis
Reflection seismology
Signal
Rotating phasor
Negative frequency
31. Waveform is symmetrical about the origin or f(x) = -f(-x); - Sine is this function - only sine terms and no constant term.
Echo Location
Reflection seismology
Frequency Modulation (FM signal processing)
Odd Functions
32. Controls how much the carrier frequency varies around its unmodulated value.
Echo reduction
Normalized impulse
Modulation index
Time domain representation
33. A phenomenon of sinusoids changing frequency during sampling; sinusoid assumes a frequency other than its own
Long range passive towed sonar
Aliasing
Odd Functions
Sampling
34. Processing of signals by digital means
DSP
Linearity
Frequency Modulation (FM signal processing)
Sampled Data Signal
35. Used for detection and tracking of underwater acoustic signals - consists of a dry end and a wet end - dry end;
Harmonic
Aliasing
Long range passive towed sonar
Beat Note
36. Description of how one parameter is related to another - ex. voltage which varies with time is common in analog electronics
Digital filters purposes
Sampled Data Signal
Fourier theory
Signal
37. Processing involves improving quality a signal- e.g. image enhancement - data compressions - noise reduction - ________ - filtering - etc.
General amplitude modulation
Beat Note
Echo reduction
DSP
38. Process of multiplying a (relatively) low frequency message signal by a high frequency sinusoid
Spectrum
General amplitude modulation
Audio Processing
Long range passive towed sonar
39. Uses multiplexing - compressions - and echo control
Telecommunication
Negative frequency
Fourier Decomposition
Aliasing
40. Two separate units - one for tracking targets - one for illumination of targets for weapons guidance (SAMs etc)
Radar
Resolution equation
Aliasing
Modulation index
41. Type of decomposition relies on the use of a function known as the delta function or unit _____function
Discrete Time Signal
Impulse Decomposition
Image processing
Digital filters purposes
42. Filter output sample depends on previous input samples and previous filter output samples - these filters always have a feedback component - recursive filters
Fourier Decomposition
Odd Functions
Infinite Impulse Response (IIR) Filters
Linear Systems
43. Represented mathematically by an indexed sequence of numbers
Digital
Discrete Time Signal
Continuous
Finite Impulse Response (FIR) Filters
44. A special case of amplitude modulation - When two sinusoids of different frequencies are multiplied
Quantization
General amplitude modulation
Beat Note
Linearity
45. Used in medical fields - space - commercial imaging products
Radar
Spectrum
Signal
Image processing
46. Uses a process called the Discrete Fourier Transform or DFT - used to determine the frequency content of a continuous signal
Sampled Data Signal
Echo reduction
Fourier Decomposition
Beat Note