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