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