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