Lecture Slides

Note that the Lecture numbers are prefixed but will be covered in different number of class hours
Click on the Slides Column to Download the Lecture Slides

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
Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License