This module introduces the active sonar problem for ambient noise that has constant power across the sonar receiver bandwidth. The result is a likelihood ratio of the ping history that includes a matched filter.

This module serves as an introduction to the problem of demodulation and detection: the decision procedure for deciding which signal of a set of signals was transmitted despite noise and attenuation.

This module serves as an introduction to the problem of demodulation and detection: the decision procedure for deciding which signal of a set of signals was transmitted despite noise and attenuation.

This module describes a decision procedure for decoding received signals. The implementation and analysis of a correlation receiver is included.

This module investigates the use of Matlab filters to determine when notes are played within a recording from an electric guitar.

Introduction to the theory of detection.

Examples of the use of a correlator-type receiver

Once the Eigenfaces are computed, one can use the vectors to detect new faces images into the system.

An introduction to automated face recognition using eigenfaces.

A method to determine the frequencies of the notes that a piano is playing using known times that notes are played.

ICP-AES is a spectral technique that is used to both determine the presence of metal analyte and the concentrations thereof. The ICP-AES method is introduced and a practical example is presented. This will help the reader to use this method for their own research work.

This course focuses on the fundamentals of information security that are used in protecting both the information present in computer storage as well as information traveling over computer networks. Upon successful completion of this course, the student will be able to: explain the challenges and scope of information security; explain such basic security concepts as confidentiality, integrity, and availability, which are used frequently in the field of information security; explain the importance of cryptographic algorithms used in information security in the context of the overall information technology (IT) industry; identify and explain symmetric algorithms for encryption-based security of information; identify and explain public key-based asymmetric algorithms for encryption-based security of information; describe the access control mechanism used for user authentication and authorization; describe Secure Sockets Layer (SSL) as a common solution enabling security of many applications, including all Internet-based commerce; describe securing Internet Protocol (IP) communications by using Internet Protocol Security (IPSec); explain the importance of physical security and discuss ways to improve physical security of an enterprise; explain the use of such security tools as firewalls and intrusion prevention systems; explain malicious software issues, such as those brought forth by software-based viruses and worms; explain common software security issues, such as buffer overflow; describe the basic process of risk assessment in the context of overall IT security management. (Computer Science 406)

Introduction to our project exploring intelligent motion detection for compressed sensing

This module provides an overview of Team SSB's final ELEC 301 project -- accent recognition and classification with a neural network

Input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations. Sampling, discrete-time processing of continuous-time signals. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, and whitening filters. Detection; matched filters. Least-mean square error estimation; Wiener filtering.

This module contains the complete code that implements the Piano Note Detection algorithm described on the preceding pages.

This module explains our motivation for undertaking the task of piano note detection, and background information on the mathematics of music that is relevant to our project.

Explains motivation for using iris detection as a means of user authentication instead of standard text passwords.

Tempo variation within a song