Description Development of real-time digital signal processing (DSP) systems using a DSP microprocessor; several structured laboratory exercises, such as sampling and digital filtering, followed by an extensive DSP project of the student's choice.
Description Este curso apresenta algoritmos essenciais em várias áreas da computação. Ele aborda árvores balanceadas (AVL, 2-4, rubro-negra), processamento de textos (procura por padrões, compressão), algoritmos polinomiais em grafos e alguns algoritmos geométricos (fecho convexo, voronoi e delaunay).
Description This course is a short series of lectures on Statistical Bioinformatics.
Topics covered are listed in the Table of Contents. The notes were prepared
by Ewa Paszek, Lukasz Wita and Marek Kimmel.
The development of this course has been supported by NSF 0203396 grant.
Description This course outlines the steps in a project for ELEC 301. This project attempts to recreate from raw experimental data images of surfaces imaged by acoustic waves. Filtering noise is an important part of the project.
Group Members: Aditya Nag, Lisa Qian, Benjamin Weidman, Wing-kei Yu
Description This course explores methods in signal processing to perform voice conversion: producing the words from one speaker in the voice of another. This is the Elec 301 project of Justin Chen, Matthew Hutchinson, Gina Upperman, and Brian VanOsdol.
Description This is our ELEC 301 Project for the Fall 2004 semester. We implemented a uniform linear array of six microphones. We then sampled the data and analyzed it in LabVIEW in order to to listen in one direction. We also explored listening for a particular frequency and its direction.
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