Robi Polikar



The Wavelet



ENG 0901.102 Freshman Engineering Clinic  FEC-II

Second course in the FEC sequence, this course provides an introduction to various engineering fields through reverse engineering and competitive assessment. Dr. Polikar’s section use an automated blood pressure monitor for addressing various issues such as ergonomics, cost of ownership, power consumption, efficiency of electrical to mechanical energy conversion, volumetric analysis, as well as selected bioengineering topics such as cardiovascular dynamics. (Spring 2002, 03, 04)


College of


ECE 0909.351 Digital Signal Processing

This is an application oriented DSP course. Topic discussed will include discrete time representation of signals and  systems, impulse response, concept of frequency and filtering, sampling theorem, frequency domain representation of signals and systems, discrete Fourier transform, z-transform, zero/pole plots, design of filters, FIR and IIR filters, and stability issues. (Every Spring)

ECE 0909.360 Modules in EC Consultant: Probability & Statistics for ECE

Hah..You thought you would get away with not taking a formal course in Prob & Stat ...didn’t you...The ECE Dept now offers Prob&Stat within EC Consultant during Fall semesters to introduce very ECE focused versions of probability, statistics, and random variables to all Ju/Se. You are in for a treat, as Dr. Polikar will be teaching this course, and you know what that means: unhumanly long homework assignments, boring lectures, and foolishly animated power point slides.(Every Fall)

ECE 0909.404 Principles of Biomedical Systems and Devices

As a survey of biomedical engineering, this class will introduce various systems of the human physiology, signals of biological origin obtained from these systems, biosensors, transducers and bioelectrodes used to acquire such signals, along with medical quality amplifiers for measuring biopotentials. Electrical safety of medical devices; measurements of the blood pressure, blood flow, and respiratory system will also be discussed. Along with a carefully designed set of experiments, this course will provide the fundamental principles of biomedical engineering from an electrical  engineering perspective.

ECE 0909.555 / ECE 0909.455                  (Fall 2003, 2005, 2007, 2009)

Advanced Pattern Recognition / Theory and Applications of Pattern Recognition

Pattern recognition (PR) deals with automated classification, identification, and / or characterizations of unknown systems. Although it employs elegant and sophisticated mathematical and statistical analysis techniques, PR is nevertheless a very application driven field. Identification of pathological disorders from various biological indicators, hand written character recognition, finger print analysis, face recognition, iris scan based recognition, financial data predictions are just a few of virtually unlimited number of applications that call for PR techniques. This class will equip you with basic mathematical and statistical techniques that are commonly used in pattern recognition and introduce you to a variety of pattern recognition algorithms, along with pointers on which algorithms work best under what conditions.

ECE 0909.554:    Theory and Engineering Applications of Wavelets

The theory of wavelets gave rise to an enormous number of applications in many areas, including various fields of engineering, making it one of the most popular research areas of all times. In this class, the theory of wavelets are carefully developed from the ground up, with an emphasis on engineering applications. Starting with the review of Fourier based signal analysis methods, short time Fourier transform, continuous wavelet transform, discrete wavelet transform, fast wavelet algorithms, wavelet packets, wavelet networks are discussed. Applications of wavelets such as image and audio compression, biological signal analysis, feature detection, signal denoising are also explored. (Fall 2006)