The models implemented in SigGer follow standard discrete-time signal processing. The links below are starting points, not an exhaustive bibliography.
| Work | Why it matters here |
|---|---|
| A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing | Sampling, digital frequency ω, geometric sequences, LTI sequences. |
| J. G. Proakis and D. G. Manolakis, Digital Signal Processing | DFT-oriented view of periodic waves and noise records. |
| A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes | Gaussian, uniform, and Laplace laws; white-noise autocorrelation (28). |
| B. Widrow and I. Kollár, Quantization Noise | Uniform-error model related to the uniform noise generator. |
| No. | Topic | Page |
|---|---|---|
| (1) | Generic record A w[n] + DC | Home |
| (2)–(4) | Nyquist, record length, normalized phase | Common controls |
| (5)–(13) | Periodic family | Periodic signals |
| (14)–(27) | Sweeps, envelopes, pulses | Non-periodic signals |
| (28)–(36) | Noise moments and densities | White noise |
| (37) | Ten-chunk synthesis | Saving files |
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SigGer – Digital Signal Generator · Version 0.01 – 2026 · FAO Nascimento · Electrical Engineering Department · University of Brasília (UnB).