Fundamentals of Signal Processing for Sound and Vibration Engineers

Introduction to Signal Processing Part - 1: Deterministic Signals Classification of deterministic Data Fourier Series Fourier Integrals (Fourier Transform) and Continuous - Time Linear Systems Time Sampling and Aliasing The Discrete Fourier Transform Part - 2: Introduction to Random Processes Stochastic Processes; Correlation Functions and Spectra Linear System Response to Random Inputs: System Identification Estimation Methods and Statistical Considerations Multiple Input / Response Systems Appendix - A: Proof of Appendix - B: Proof of Appendix - C: Wave Number Spectra and an Application Appendix - D: Some Comments on the Ordinary Coherence Function Appendix - E: Least Squares Optimization: Complex - Valued Problem Appendix - F: Proof of Appendix - G: Justification of the Joint Gaussianity of X (f) Appendix - H: Some Comments on Digital Filtering References Index