Lecture Slides

Note that the Lecture numbers are prefixed but will be covered in different number of class hours
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Lecture Number	Topic	Dates	Slides
Lecture 1	Structure of statistical reasoning, Introduction to Estimation		Lecture1
Lecture 2	Review of DSP basics (For Reference Purposes - Will not be covered in the Course)		Lecture2
Lecture 3	Random Variables, Vectors, Processes and their Statistical Description		Lecture3
Lecture 4	Minimum Variance Unbiased Estimation, Cramer Rao Lower Bound - Scalar and Vector Parameters		Lecture4
Lecture 5	Sufficient Statistic, NF factorization, MLE, MAP		Circulated Notes
Lecture 6	Spectrum Estimation Techniques - The Periodogram, Welch and The MVDR Spectrum Estimation Method		Lecture 6 / Circulated Notes
Lecture 7	Introduction to Detection, Important PDFs, Statistical Decision Theory - I, Composite Hypothesis Testing		Lecture7