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