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