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