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Correlation of Discrete-Time Signals

Correlation of Discrete-Time Signals. Transmitted Signal, x(n). Reflected Signal, y(n) = x(n-D) + w(n). 0. T. Cross-Correlation. Cross-correlation of x(n) and y(n) is a sequence, r xy (l) Reversing the order, r yx (l) => . Similarity to Convolution. No folding (time-reversal)

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Correlation of Discrete-Time Signals

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  1. Correlation of Discrete-Time Signals Transmitted Signal, x(n) Reflected Signal, y(n) = x(n-D) + w(n) 0 T

  2. Cross-Correlation • Cross-correlation of x(n) and y(n) is a sequence, rxy(l) • Reversing the order, ryx(l) • =>

  3. Similarity to Convolution • No folding (time-reversal) • In Matlab: • Conv(x,fliplr(y))

  4. Auto-Correlation • Correlation of a signal with itself • Used to differentiate the presence of a like-signal, e.g., zero or one • Even function

  5. Properties • Two sequences, x(n) and y(n), with finite energy • Find energy of z(n) Ex Ey

  6. Quadratric in (a/b) and positive, discriminant is non-negative: For crosscorrelation case: For autocorrelation case: Maximum value occurs with zero lag (when signals are perfectly matched) Often normalized to range [-1,1]:

  7. Periodic Sequences • Power signals crosscorrelation: • Define auto and crosscorrelations over one period of the signals • If x(n) and y(n) are periodic signals with period N: • Correlations are also periodic with period N

  8. y(n)=x(n)+w(n)

  9. LTI Systems • Convolution, output of LTI system • Crosscorrelation between the output and input signal: • Similarly, input to output is:

  10. Autocorrelation of output:

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