Signals, Systems, and Inference presents core methods for analyzing dynamic systems and extracting information from uncertain measurements. It connects mathematical models to communication, control, and signal-processing applications.

Key Topics

• Fourier and Laplace transforms
• State-space models
• Wiener filtering
• Hypothesis testing
• Matched filters

Authors: Alan V. Oppenheim and George C. Verghese