To learn what is involved in Analog to Digital Conversion.
In this lesson, you will learn how to perform analog input.
Problems Dealing with Analog Signal Processing
This module offers an introduction to Bayesian networks by means of a worked example of computing a bayesian network from a joint probability distribution (JPD).
This collection is a brief and concise set on notes on continuous and discrete time signals and systems with some information on up and down sampling and a brief introduction to wavelets.
This lesson introduces telling time to the minute using the analog and digital clocks. The hands are color-coded to assist with hour and minute hand discrimination. The student will use the time on the digital clock, which can then be transferred to the more difficult analog clock.
Introduces convolution for analog signals.
The idea of discrete-time convolution is exactly the same as that of continuous-time convolution. For this reason, it may be useful to look at both versions to help your understanding of this extremely important concept. Convolution is a very powerful tool in determining a system's output from knowledge of an arbitrary input and the system's impulse response.
This module will take the ideas of sampling CT signals further by examining how such operations can be performed in the frequency domain and by using a computer.
How to compute discrete-time Fourier transforms for decaying sequences.
Average stock price as an example of discrete-time filtering.
A brief introduction on how to filter digital signals
Discussion of Discrete-time Fourier Transforms. Topics include comparison with analog transforms and discussion of Parseval's theorem.
Computing discrete-time frequencies by the use of Fourier transforms.
The module will provide analysis and examples of how a continuous-time signal is converted to a digital signal and processed.
This set of student labs are designed to allow anyone to recreate simple experiments at home to explore electronics and Electrical Engineering concepts. The software and hardware utilized are LabVIEW and NI Low Cost USB data acquisition devices.
Energy and power for analog and discrete time signals
An example of using a Finite Impulse Response filter.
Investigation of different aspects of filtering in the frequency domain, particularly the use of discrete Fourier transforms.
This course introduces students to both passive and active electronic components (op-amps, 555 timers, TTL digital circuits). Basic analog and digital circuits and theory of operation are covered. The labs allow the students to master the use of electronic instruments and construct and/or solder several circuits. The labs also reinforce the concepts discussed in class with a hands-on approach and allow the students to gain significant experience with electrical instruments such as function generators, digital multimeters, oscilloscopes, logic analyzers and power supplies. In the last lab, the students build an electronic circuit that they can keep. The course is geared to freshmen and others who want an introduction to electronics circuits. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
