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y(t) = x(at)
Time Scaling (Continuous-Time)
Scaling time by a factor ‘a’ produces it
Time Compression
If a > 1, the signal is compressed in time.
Time Expansion (Stretching)
If 0 < a < 1, the signal is expanded.
y[n] = x[kn], k > 0
Time Scaling (Discrete-Time)
Loss of Samples in Discrete-Time Scaling
If k > 1, some original of x[n] are lost due to compression.