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