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