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Discrete Stochastic Processes and Optimal Filtering
Chapter 1 Random Vectors
Chapter 2 Gaussian Vectors
Chapter 3 Introduction to Discrete Time Processes
Chapter 4 Estimation
Chapter 5 The Wiener Filter
Chapter 6 Adaptive Filtering: Algorithm of the Gradient and the LMS
Chapter 7 The Kalman Filter
5555130668 | R 621.3822 BER d | Pusat (Referensi) | Available but not for loan - No Loan |
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