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This academic text provides a comprehensive introduction to statistical signal processing, covering probability theory, stochastic processes, detection, estimation, filtering, and related analytical tools. Written for advanced undergraduate and graduate students, the manuscript emphasizes both theoretical foundations and engineering applications. It is widely used in university courses and is distributed freely for educational purposes.

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245: $a: An Introduction to Statistical Signal Processing
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100: $a: Robert M. Gray & Lee D. Davisson
650: $a: Statistical signal processing
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250: $b: Stanford University
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