Detection theory, estimation and statistical signal processing
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Detection and Estimation Theory Binary hypothesis testing; Bayes, minimax and Neyman-Pearson tests. Composite hypothesis testing.
Signal detection in discrete time: Models and detector structures. Coherent detection in independent noise. Detection in Gaussian noise. Detection of signals with random parameters.
Detection of stochastic signals. Performance evaluation of signal detection procedures.
Bayesian parameter estimation; MMSE, MMAE and MAP estimates. Nonrandom parameter estimation. Exponential families. Completeness theorem.ML estimation. Information inequality.
Asymptotic properties of MLEs.
Discrete time Kalman- Bucy filter. Linear estimation. Orthogonality principle and its application in Communication Engineering. Wiener- Kolmogorov filtering - causal and noncausal filters.
Signal detection in continuous time: Detection of deterministic signals in Gaussian noise. Coherent detection in White Gaussian noise.
As per the latest AKTU syllabus — cross-check electives with your college.
Where can I download Detection and Estimation Theory (MTEC202) notes for AKTU?
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Which semester is Detection and Estimation Theory taught in for ECE?
Detection and Estimation Theory (MTEC202) is a semester 2 subject in the AKTU M.Tech Electronics & Communication Engineering (ECE) curriculum.
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