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An Introduction to Statistical Signal Processing with Applications covers basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications. The book presents both detection and estimation in a clear, concise fashion and reflects recent developments and shifting emphases in the field.
2. Signals and Systems.
3. Detection Theory.
4. Detection of Signals in Noise.
5. Estimation Theory.
6. Estimation of Waveforms.
7. Further Topics in Detection and Estimation.
8. Applications to Communication and Radar Systems.
9. Miscellaneous Applications.
Appendix A: Bilateral Transforms.
Appendix B: Calculus of Extrema.
Appendix C: Vectors and Matrices.