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