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