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  • Signal Processing
Digital Typography, Fall 1997
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This class introduces studies in the algorithmic manipulation of type as word, ...

This class introduces studies in the algorithmic manipulation of type as word, symbol, and form. Problems covered will include semantic filtering, inherently unstable letterforms, and spoken letters. The history and traditions of typography, and their entry into the digital age, will be studied. Weekly problem sets using Java will explore new ways of looking at and manipulating type.

Subject:
Visual Arts
Material Type:
Activity/Lab
Full Course
Homework/Assignment
Syllabus
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Maeda, John
Numeric Photography, Fall 1998
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The aim of the students from the Numeric Photography class at the ...

The aim of the students from the Numeric Photography class at the MIT Media Laboratory was to present an exhibition of digital artworks which blend photography and computation, in the context of scene-capture, image-play, and interaction. Equipped with low-end digital cameras, students created weekly software projects to explore aesthetic issues in signal processing and interaction design. The results are more than a hundred Java applets -- many of which are interactive -- that suggest new avenues for image-play on the computer. These weekly exercises led to the final product, an exhibition of the student work.

Subject:
Visual Arts
Material Type:
Activity/Lab
Full Course
Homework/Assignment
Syllabus
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Maeda, John
Signals, Systems, and Information for Media Technology, Fall 2001
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Fundamentals of signals, systems, and information theory with emphasis on modeling both ...

Fundamentals of signals, systems, and information theory with emphasis on modeling both the audio/visual message and the human recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection.

Subject:
Language, Grammar and Vocabulary
Material Type:
Full Course
Homework/Assignment
Syllabus
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Bove, V Michael
MIT Media Laboratory
Picard, Rosalind
Picard, Rosalind W.
Receivers, Antennas, and Signals, Spring 2003
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Detection and measurement of radio and optical signals encountered in communications, astronomy, ...

Detection and measurement of radio and optical signals encountered in communications, astronomy, remote sensing, instrumentation, and radar. Statistical analysis of signal processing systems, including radiometers, spectrometers, interferometers, and digital correlation systems. Matched filters and ambiguity functions. Communications channel performance. Measurement of random electromagnetic fields. Angular filtering properties of antennas, interferometers, and aperture synthesis systems. Radiative transfer and parameter estimation.

Subject:
Computer Science
Astronomy
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Staelin, David H.
Stochastic Processes, Detection, and Estimation, Spring 2004
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Fundamentals of detection and estimation for signal processing, communications, and control. Vector ...

Fundamentals of detection and estimation for signal processing, communications, and control. Vector spaces of random variables. Bayesian and Neyman-Pearson hypothesis testing. Bayesian and nonrandom parameter estimation. Minimum-variance unbiased estimators and the Cramer-Rao bounds. Representations for stochastic processes; shaping and whitening filters; Karhunen-Loeve expansions. Detection and estimation from waveform observations. Advanced topics: linear prediction and spectral estimation; Wiener and Kalman filters.

Subject:
Computer Science
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Willsky, Alan S.
Bioinformatics and Proteomics, January (IAP) 2005
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This interdisciplinary course provides a hands-on approach to students in the topics ...

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

Subject:
Computer Science
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Gil, Alterovitz
"Signals, Systems and Information for Media Technology, Fall 2007"
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" This class teaches the fundamentals of signals and information theory with ...

" This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but Assignments and Labs differ."

Subject:
Information Science
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Bove, V. Michael
Picard, Rosalind W.
Smithwick, Quinn
Biomedical Signal and Image Processing, Spring 2007
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This course presents the fundamentals of digital signal processing with particular emphasis ...

This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done on the MIT Server in MATLABĺ¨ during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

Subject:
Anatomy/Physiology
Biology
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Clifford, Gari
Fisher, John
Greenberg, Julie
Wells, William (Sandy)
Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2008
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" This team-taught multidisciplinary course provides information relevant to the conduct and ...

" This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies. It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment. Additional Faculty Div Bolar Dr. Bradford Dickerson Dr. John Gabrieli Dr. Doug Greve Dr. Karl Helmer Dr. Dara Manoach Dr. Jason Mitchell Dr. Christopher Moore Dr. Vitaly Napadow Dr. Jon Polimeni Dr. Sonia Pujol Dr. Bruce Rosen Dr. Mert Sabuncu Dr. David Salat Dr. Robert Savoy Dr. David Somers Dr. A. Gregory Sorensen Dr. Christina Triantafyllou Dr. Wim Vanduffel Dr. Mark Vangel Dr. Lawrence Wald Dr. Susan Whitfield-Gabrieli Dr. Anastasia Yendiki "

Subject:
Anatomy/Physiology
Physics
Psychology
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Gollub, Randy
Build a Small Radar System Capable of Sensing Range, Doppler, and Synthetic Aperture Radar Imaging, January IAP 2011
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Are you interested in building and testing your own imaging radar system? ...

Are you interested in building and testing your own imaging radar system? MIT Lincoln Laboratory offers this 3-week course in the design, fabrication, and test of a laptop-based radar sensor capable of measuring Doppler, range, and forming synthetic aperture radar (SAR) images. You do not have to be a radar engineer but it helps if you are interested in any of the following; electronics, amateur radio, physics, or electromagnetics. It is recommended that you have some familiarity with MATLAB;. Teams of three students will receive a radar kit and will attend a total of 5 sessions spanning topics from the fundamentals of radar to SAR imaging. Experiments will be performed each week as the radar kit is implemented. You will bring your radar kit into the field and perform additional experiments such as measuring the speed of passing cars or plotting the range of moving targets. A final SAR imaging contest will test your ability to form a SAR image of a target scene of your choice from around campus; the most detailed and most creative image wins.

Subject:
Engineering
Electronic Technology
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Charvat, Gregory L.
Fenn, Alan J.
Herd, Jeffrey S.
Kogon, Steve
Williams, Jonathan H.
Signals and Systems, Spring 2011
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This course was developed in 1987 by the MIT Center for Advanced ...

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace. Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products. The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.

Subject:
Engineering
Material Type:
Full Course
Textbook
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Oppenheim, Alan V.
Continuous Time Linear Systems Laboratory (EE 235)
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Introduction to continuous time signal analysis. Basic signals including impulses, pulses, and ...

Introduction to continuous time signal analysis. Basic signals including impulses, pulses, and unit steps. Periodic signals. Convolution of signals. Fourier series and transforms in discrete and continuous time. Computer laboratory.

Material Type:
Full Course
Reading
Syllabus
Provider:
Rice University
Provider Set:
Connexions
Author:
University Of Washington Dept. of Electrical Engineering
Purdue Digital Signal Processing Labs (ECE 438)
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These modules are a reproduction of a set of laboratory experiments developed ...

These modules are a reproduction of a set of laboratory experiments developed for the course ECE438 - Digital Signal Processing with Applications, taught in the School of Electrical and Computer Engineering at Purdue University. This is a senior-level undergraduate course that covers the fundamentals of digital signal processing, along with several applications throughout the course. Some applications of particular emphasis are speech modeling, coding and synthesis, and also imaging processing topics including filtering, color spaces, halftoning, and tomography. Laboratory experiments are performed each week during the semester, so these modules are designed to be completed in 2-4 hours. While the labs are performed as part of a lecture course, the lab modules contain most of the relevant background theory along with the lab exercises. All of the lab exercises in this module set are written for Matlab by MathWorks. The modules are written for a student who has essentially no Matlab experience. A Matlab introduction is contained in the first module, and further Matlab skills and tips are provided as the modules progress forward.

Material Type:
Activity/Lab
Full Course
Provider:
Rice University
Provider Set:
Connexions
Author:
Charles A. Bouman
Basic Vector Space Methods in Signal and Systems Theory
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Linear algebra, vector space methods, and functional analysis are a powerful setting ...

Linear algebra, vector space methods, and functional analysis are a powerful setting for many topics in engineering, science (including social sciences), and business. This collection starts with the simple idea of a matrix times a vector and develops tools and interpretations for many signal processing and system analysis and design methods.

Subject:
Business and Communication
Material Type:
Full Course
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
C. Sidney Burrus
Chowning FM Synthesis Instruments
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Implement several different Chowning FM instruments (bell, wood drum, brass, clarinet, and ...

Implement several different Chowning FM instruments (bell, wood drum, brass, clarinet, and bassoon) and compare them to the sounds of physical instruments. Develop code to model the Chowning algorithms as LabVIEW "virtual musical instruments" (VMIs) to be "played" by a MIDI file within MIDI JamSession.

Material Type:
Activity/Lab
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Ed Doering
Create standard MIDI files with LabVIEW
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In this project you will create your own LabVIEW application that can ...

In this project you will create your own LabVIEW application that can produce a standard MIDI file. You will first develop a library of utility subVIs that produce the various components of the file (header chunk, track chunks, MIDI messages, meta-events, and delta times), as well as a subVI to write the finished binary file. You will then combine these into a a top-level VI (application) that creates a complete MIDI file based on an algorithm of your choosing.

Material Type:
Activity/Lab
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Ed Doering
Digital Signal Processing and Digital Filter Design (Draft)
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This book starts with a very brief development of signals and systems. ...

This book starts with a very brief development of signals and systems. It then develops the characteristics and the design of finite impulse response (FIR) digital filters. That is followed by developing the characteristics and the design of infinite impulse response (IIR) digital Filters.

Material Type:
Full Course
Textbook
Provider:
Rice University
Provider Set:
Connexions
Author:
C. Sidney Burrus
DirectShow Filter Design for Laugh Track Removal
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This module discusses the implementation of a DirectShow filter designed to remove ...

This module discusses the implementation of a DirectShow filter designed to remove laugh tracks from audio streams. It is part of a series discussing the implementation of a real-time laugh track removal system. A link containing a working version of the filter is provided.

Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Justin Nordin