Fiszki
Sygnałki
Test w formie fiszek
Ilość pytań: 25
Rozwiązywany: 1531 razy
Simplex method has two phases on which adequately
basic feasible solution is provided and then adjusted according to constraints
a set of solutions are proposed and then the best is chosen
a set of solutions are proposed and then the best is chosen
necessity condition is checked and then sufficient condition equations are solved
basic feasible solution is provided and then adjusted according to constraints
Is it possible to ambiguously identify the second-order inertial system based only on the information about first maximum of step response
yes
no, one must also know the impulse response
yes, but only for the underdamped systems
no, one must also know the impulse response
yes
First row of Sobel operator
[-1 -2 -1]
[-1 0 1]
[-1 -1 0]
[-1 -1 -1]
[-1 0 1]
A frequency response function is
a generalization of the something function
a generalization of the transmitation function
a special case of the transfer function
a generalization of the transfer function
a special case of the transfer function
Constraint variation method is based on
calculation of constraints variations
Evaluation of some variables using equality constraints
Evaluation of some variables using inequality constraints
calculation of variables variations
Evaluation of some variables using equality constraints
Expected value is
A sum of the products of the implementation of the random variable and probability of
A sum of squares of the product of the implementation of the random variable and probability of ....
The module form the probability density multiplied by the variance
A quotient of a random variable and its variance
A sum of the products of the implementation of the random variable and probability of
Correlation analysis is
Non-parametric method
Method which is using impulse functions
Parametric method
Regression method
Non-parametric method
Wavelet transform is
representation of the signal in time domain
a way to prevent a spectrum leakage
representation of the signal in time-frequency domain
signal approximation method
representation of the signal in time-frequency domain
What is reversed model?
It is when systems arrays are reversed parameters arrays
It is when models input is the output of the modeled object
It is model described by inertance matrix
It is when systems arrays are reversed states parameters
It is when models input is the output of the modeled object
Estimator is effective if
it is at the same time consistent, unbiased
it has the smallest variance of all unweighted estimators of the parameters tested
it is equal to measured value
it has the greatest variance of all unweighted estimators of the parameters tested
it has the smallest variance of all unweighted estimators of the parameters tested
Second order moment of analyzed object
returns number of pixels along x axis
returns orientation of an object
returns area of an object
returns number of pixels along y axis
returns orientation of an object
Results of square root function
to darken an image
enlarges edges of an image
to brighten an image
to brighten a central part of an image
to brighten an image
Which one from below is the correct order of identification process?
estimation, experiment, modeling, verification
experiment, modeling, estimation, verification
verification, experiment, modelling, estimation
modeling, experiment, estimation, verification
modeling, experiment, estimation, verification
Order of the Finite Impulse Response is equivalent to
filter type
number of filter coefficient
impulse system
multiplies of the sampling frequency
number of filter coefficient
Filters with finite impulse response
work in the feedback loop
linearly change the phase of the signal
can only be low-pass filter
change the phase of the signal non-linearly
linearly change the phase of the signal
For a second-order inertial system, the overshoot is a function of
damped natural frequency and damping coefficient
natural frequency and damping coefficient
damped natural frequency
damping ratio
damping ratio
Image equalization
non-linear mapping which reassigns the intensity values of pixels in the input image such that the output image contains a uniform distribution of intensities
mapping which reassigns the intensity values of pixels in the input image such that the output image contains values of intensities equaled to 256
mapping which reassigns the intensity values of pixels in the input image such that the output image contatins the same values of intensities
mapping which reassigns the intensity values of pixels in the input image such that the output image contains various distribution of intensities
non-linear mapping which reassigns the intensity values of pixels in the input image such that the output image contains a uniform distribution of intensities
Image binearization
converts one component of true color image into a greyscale image
converts a true color image into a greyscale image
converts a greyscale image into a binary image (pixels values are either 1 or 0)
converts a greyscale image into a true color image
converts a greyscale image into a binary image (pixels values are either 1 or 0)
Saddle point is a point where function f(x,y)
partial derivatives are different but the same sings
changes its sign
partial derivatives are the same but have different signs
partial derrivatives are the same
partial derrivatives are the same
covariation is
a measure of dependence for one random variable in different moments of time
a measure of stationery of random process
a measure of dependence between two random variable
a measure of dependence for one random variable in different moments of frequency
a measure of dependence between two random variable
Representation of the dirac function in frequency domain is
sinusoidal function
horizontal line
vertical line
diagonal line
horizontal line
Vibrations tends to occur in case of systems working as
underdamped
critical damped
modal damped
overdamped
underdamped
In the signal quantization process it is important that
the number of bits was a multiple of the sampling frequency
the quantization level was matched to the signal amplitude range
none of the above
the frequency resolution of the signal spectrum was adequate
the quantization level was matched to the signal amplitude range
The jitter phenomenon occurs when
the amplitude of the signal is too high
the filtration process was not carried out properly
the frequency of the signal changes
samples are not collected at ideally the same intervals
samples are not collected at ideally the same intervals
The signal is
carrier of the information
one-dimentional data collection in time domain
none of the above
mathematical function
carrier of the information