Browse:
Keywords: Amplifiers
(Complete Item Description)
- Abstract: Take a hands-on ride through the fundamentals of electronics and acoustics, and the process of loudspeaker design and construction. Learn about the engineering and art involved throughout music/movie recording and playback, the design and application of everything from microphones to DACs, amplifiers, and speakers. With the aid of computer assisted audio measuring equipment at the MIT Edgerton Center, analyze the frequency response and distortion of speaker drivers, and understand their effect on what we hear. Design your own speakers - driver selection, crossover networks, and enclosure design - and build them in class!
(Complete Item Description)
- Abstract: 6.776 covers circuit and system level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO's, and high speed digital circuits. Specific system topics include frequency synthesizers, clock and data recovery circuits, and GMSK transceivers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating circuits in SPICE and systems in CppSim (a custom C++ simulator).
- Subject:
Science and Technology
- Grade Level:
Post-secondary
- Collection:
MIT OpenCourseWare
(Complete Item Description)
- Abstract: This collection of homeworks is used in ECE 255 "Introduction to Electronic Analysis and Design" (Purdue University). Students do their work, or sometimes check their work, by using the Spice 3F4 simulator on nanoHUB.org.
- Subject:
Science and Technology
- Grade Level:
Post-secondary
- Collection:
nanoHUB.org
(Complete Item Description)
- Abstract: Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development.
- Subject:
Science and Technology
- Grade Level:
Post-secondary
- Collection:
MIT OpenCourseWare
(Complete Item Description)
- Abstract: Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.
- Subject:
Science and Technology
- Grade Level:
Post-secondary
- Collection:
MIT OpenCourseWare
Take a Survey
Take a quick survey to tell us about your unique needs for teaching and learning.
Click here to start »
