Using entropic coding it is possible to represent a symbol with less number of bits than the entropy (on average).
Signals are often transformed to frequency domain to perform speed up filtering (using Convolution theorem).
In order to perform a FFT on a signal it is required to pad the signal so that the number of elements in it is of power of 2.
In order to enhance the detail in your image you should use a high pass filter.
Run-length coding is an efficient method to compress black and white images.
It is not possible to construct an ideal filter.
Is the following property true (X - Fourier transform)?
Not all active SAR systems are side-looking.
Parseval's identity is analogous to Pythagorean theorem.
What is the inverse Fourier transform of:
sin(t)
cos(t)
Dirac function
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