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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Many practical signals used in day-to-day communication are completely random. Statistical signal processing strives to process these seemingly gibberish signals. This brand of study forms the backbone of contemporary communication systems and signal processing systems. To provide candidates with sufficient knowledge on the subject, Swayam has developed the Statistical Signal Processing training.

The Statistical Signal Processing online course explores the three main ingredients of statistical signal processing: Estimation theory, detection theory, and random signal modeling. All candidates require is an introductory-level understanding of probability. It is recommended that students take a basic probability course before enrolling in this program.

Statistical Signal Processing certification course, being a postgraduate level study, provides an in-depth understanding of various statistics and signal processing concepts. Swayam also grants a completion certificate after learners have passed the final test. The course is targeted towards UG and PG students who wish to learn the statistical aspects of signal processing.

The Highlights

FDP course approved by AICTE
12-week training program
Extensive syllabus
An IIT Guwahati offering
Postgraduate-level difficulty
100% online
12 weekly assignments
Core course

Programme Offerings

FDP course approved by AICTE
12-week training program
100% Online
An Iit Guwahati Offering
Extensive syllabus
Postgraduate-level difficulty
12 weekly assignments
Core course

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Guwahati (IITG)

Candidates aren’t required to pay any Statistical Signal Processing fees as the course access is free-of-cost. Nevertheless, Swayam requires Rs. 1,000 fee payment from the candidates if they wish to appear for the end-of-the-course proctored exam.

Statistical Signal Processing fee structure

Course type	Fees
Statistical Signal Processing	FREE
Statistical Signal Processing - Exam	Rs. 1,000

Eligibility Criteria

To get the most out of the Statistical Signal Processing certification course, candidates must complete an introductory course in probability before enrolling.

Certificate Qualifying Details

A minimum of 40% marks in both final exam and assignments (best out of eight) must be maintained if a learner wishes to receive the com

What you will learn

Knowledge of engineering

By the end of the Statistical Signal Processing online program, learners will be confident in topics like:

Spectral factorization
Stationary processes
IIR filters
FIR filters
Complexity analysis
Linear predictions
Kalman filters

Who it is for

The Statistical Signal Processing online training is targeted towards postgraduate students and senior undergraduate students.

Admission Details

https://onlinecourses.nptel.ac.in/noc22_ee60/preview - you can access the Statistical Signal Processing program and check all its details by clicking here.
Once you land on the page, select the ‘Sign-in/Register’ prompt to enrol in this program.
While registering, you can either use your Microsoft/Facebook/Google account or fill in the required details to create your Swayam account. Alternatively, if you already have a profile, enter its credentials to continue with the enrolment procedure.
Choose the ‘send verification code’ option.
Swayam will send you an account verification code on your registered email address for account activation. After you enter

Application Details

After clicking on the sign-in/register button, candidates who don’t already have Swayam credentials will be asked to create an account. They can do so either by using their Google, Facebook, or Microsoft credentials, or by filling a small application form, which demands details like name, educational background, work experience, and username.

The Syllabus

Introduction
Stationary processes
Wide sense and strict sense stationarity
Spectral analysis and correlation of a discrete-time wide sense stationary process
White noise
The response of a linear system to a wide-sense stationary input
Spectral factorization

Parameter estimation: Properties of estimators
Minimum Variance Unbiased Estimator (MVUE Cramer Rao bound
MVUE through Sufficient Statistics
Maximum likelihood estimation- properties
Bayseaen estimation-Minimum Mean-square error(MMSE) and Maximum a Posteriori(MAP) estimation

Signal estimation in white Gaussian noise– MMSE, conditional expectation
Linear minimum mean-square error( LMMSE ) estimation
orthogonality principle and Wiener Hoff equation

FIR Wiener filter, linear prediction-forward and backward predictions, Levinson-Durbin Algorithm, application –linear prediction of speech

Non-causal IIR wiener filter, Causal IIR Wiener filtering

Iterative and adaptive implementation of FIR Wiener filter: Steepest descent algorithm, LMS adptive filters, convergence analysis, least-squres(LS) method, Recursive LS (RLS) adaptive filter, complexity analysis, application- neural network

Kalman filters: Gauss -Markov state variable models
innovation and Kalman recursion, steady-state behaviour of Kalman filters

Review and Conclusion

Evaluation process

Learners have to sit for an end-of-the-course proctored exam to receive a verified Swayam e-certificate. This exam is held at designated Swayam centers, which candidates can choose according to their convenience. While registering, learners need to pay an examination fee of Rs. 1,000.