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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. Occur frequently in nature - sound waves - electromagnetic radiation - any type of periodic waveform can be constructed from this signal
Medical imaging
Sinusoidal Signals
Linearity
Fourier theory
2. 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
Time domain representation
Rotating phasor
Quantization
Spectrum
3. A special case of amplitude modulation - When two sinusoids of different frequencies are multiplied
Sinusoidal Signals
Radar
Beat Note
Audio Processing
4. If an input is delayed (shifted) by n0 - then the output is delayed by the same amount
Fourier theory
Time Invariant Systems
Harmonic
Telecommunication
5. Measurement at regular intervals of the amplitude of a varying waveform (in order to convert it to digital form)
Sampling
Odd Functions
Radar
Spectrum
6. 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.
Linearity
Digital
Half-Wave symmetry
Convolution
7. Processing involves improving quality a signal- e.g. image enhancement - data compressions - noise reduction - ________ - filtering - etc.
Image processing
Signal
DSP
Echo reduction
8. Processing of signals by digital means
DSP
Digital
Signal
Medical imaging
9. Used for detection and tracking of underwater acoustic signals - consists of a dry end and a wet end - dry end;
Sinusoidal Signals
Fourier Decomposition
Reflection seismology
Long range passive towed sonar
10. A phenomenon of sinusoids changing frequency during sampling; sinusoid assumes a frequency other than its own
Sinusoidal Signals
Quantization error equation
Aliasing
Normalized impulse
11. Description of how one parameter is related to another - ex. voltage which varies with time is common in analog electronics
Impulse Decomposition
Medical imaging
DSP
Signal
12. 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
Odd Functions
Digital filters purposes
Audio Processing
Quantization
13. Controls how much the carrier frequency varies around its unmodulated value.
Odd Functions
Modulation index
Resolution equation
Harmonic
14. A projection onto real axis
Rotating phasor
Linearity
Sampled Data Signal
Linear Systems
15. Two separate units - one for tracking targets - one for illumination of targets for weapons guidance (SAMs etc)
Audio Processing
Reflection seismology
Radar
Sampling
16. DSP Applications: - radar and sonar - oil exploration - space exploration - _______
Beat Note
Digital filters purposes
Aliasing
Medical imaging
17. Involves music - speech generation - speech recognition
Fourier Decomposition
Digital
Audio Processing
Aliasing
18. Two properties lead to simplifications of mathematical analysis: - __________ - time-invariance
Linearity
Modulation index
Convolution
Medical imaging
19. Filter output sample depends on previous input samples and previous filter output samples - these filters always have a feedback component - recursive filters
General amplitude modulation
Analog Signals
Digital
Infinite Impulse Response (IIR) Filters
20. Waveform is symmetrical about the origin or f(x) = -f(-x); - Sine is this function - only sine terms and no constant term.
Digital filters purposes
Digital
Odd Functions
Long range passive towed sonar
21. Represented mathematically by an indexed sequence of numbers
General amplitude modulation
Reflection seismology
Linear Systems
Discrete Time Signal
22. Refers to what we are familiar with as the signal itself - with amplitude values plotted against time values
Echo reduction
Resolution equation
Sinusoidal Signals
Time domain representation
23. Industry Apps / Major Areas: Telecommunications - Audio Processing - ___________ - Image processing
Echo Location
Long range passive towed sonar
Normalized impulse
Analog Signals
24. Echo Location uses: radar - sonar - _______
Reflection seismology
Modulation index
Finite Impulse Response (FIR) Filters
Linearity
25. 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
Sampling
Aliasing
General amplitude modulation
Continuous
26. Signal comprised of a continuous set of values; -not digital or discrete
Analog Signals
Modulation index
Telecommunication
Harmonic
27. Type of decomposition relies on the use of a function known as the delta function or unit _____function
General amplitude modulation
Negative frequency
Impulse Decomposition
Medical imaging
28. 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.
Normalized impulse
Sampling
Image processing
Digital
29. 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
Quantization
Frequency Modulation (FM signal processing)
Echo Location
Sampled Data Signal
30. Use only the current and past input samples to calculate the current output sample; -no feedback -non recursive filters
Fourier theory
Aliasing
DSP
Finite Impulse Response (FIR) Filters
31. Process of multiplying a (relatively) low frequency message signal by a high frequency sinusoid
Aliasing
Digital filters purposes
General amplitude modulation
Odd Functions
32. A formal mathematical operation - takes two signals and produces a third signal
DSP
Aliasing
Frequency Modulation (FM signal processing)
Convolution
33. A phasor rotating in negative (clockwise) direction
Odd Functions
Spectrum
Fourier theory
Negative frequency
34. Uses a signal that has been quantized into discrete values rather than a continuous signal
Digital
General amplitude modulation
Telecommunication
Sampled Data Signal
35. Uses multiplexing - compressions - and echo control
Image processing
Echo reduction
Telecommunication
General amplitude modulation
36. Uses a process called the Discrete Fourier Transform or DFT - used to determine the frequency content of a continuous signal
Linearity
Fourier Decomposition
Spectrum
DSP
37. 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.
Digital filters purposes
Reflection seismology
Time domain representation
Time Invariant Systems
38. 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
Harmonic
Frequency Modulation (FM signal processing)
Linear Systems
Finite Impulse Response (FIR) Filters
39. Imax-Imin /4*( 2^n - 1)
Quantization error equation
Discrete Time Signal
Even Functions
Beat Note
40. Used in medical fields - space - commercial imaging products
Reflection seismology
Sinusoidal Signals
Digital filters purposes
Image processing
41. States any periodic waveform can be approximated by a sum of harmonically related sinusoids
Harmonic
Rotating phasor
Time Invariant Systems
Fourier theory
42. Imax-Imin / 2^n - 1
Medical imaging
Analog Signals
Resolution equation
Quantization
43. 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 .
Harmonic
Fourier Decomposition
Half-Wave symmetry
General amplitude modulation
44. 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.
Even Functions
Aliasing
Fourier theory
Fourier Decomposition
45. Uses a relatively low frequency message signal to modulate or vary the frequency of a relatively high frequency carrier signal
Frequency Modulation (FM signal processing)
Echo reduction
Radar
Digital filters purposes
46. Radar - Sonar - Data Communication
Spectrum
Naval DSP applications
Digital
Linearity