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