digital-signal-processing
Discrete-time signal notation: $x[n]$ vs. $x(t)$
taught
The deliberate bracket-vs-parenthesis convention distinguishing a discrete index from a continuous argument.
Taught in
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Discrete-time signal notation: brackets, indices, and elementary sequences
Digital Signal Processing
Requires
- signals-continuous-vs-discrete required
Required by
- Deterministic vs. random, periodic vs. aperiodic signals required
- Energy signals and power signals required
- Even and odd signals, and the even/odd decomposition required
- Exponential and sinusoidal sequences required
- NumPy array and indexing conventions for signals required
- Sequence transformations: shifting and reflection required
- System properties: memory, causality, and stability required
- The convolution sum, derived from the sifting property required
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Local knowledge map
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