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