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