Gallery 6 1-D Signals
  • The top graph is synthetic data formed using basically a random number generator.  A known impulse function was applied to the data which produces our degraded data.  The third graph down is the deconvolution of the using the known impulse function.  The last graph is the restoration of the data using blind deconvolution (impulse function is not known) with application of SeDDaRA.  The process restores almost as much information as if the impulse function were known.
  •  This is a computer generated soundwave that sweeps a frequency range from 200 to 600 Hz with a level amplitude of 1.32 units.
  •  This sound wave was played through the computer speakers and simultaneously recorded by the computer microphone.  As you can see, the result is not a very good reproduction of the original.
  • The signal was processed using our one-dimensional SeDDaRA program.  Although there is some amplification of noise in the higher frequencies, the signal has improved tremendously.  It sounded better too.
  • A second demonstration of cleaning up a soundwave with an unknown frequency filter applied.
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