Gives a brief explanation of a digital clock.

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).

"Becoming Digital" traces the change in practice, theory and possibility as mechanical and chemical media are augmented or supplanted by digital media. These changes will be grounded in a semester length study of "reports from the front." These reports, found and introduced by students throughout the semester, are the material produced by and about soldiers and civilians on the battlefield from the introduction of wet photography during the Crimean and Civil Wars to contemporary digital content posted daily to Web 2.0 sites from areas such as Iraq and Afghanistan and possibly even the games and simulations they've inspired. Students will work through the ethical, aesthetic, technical and cultural problems raised by the primary content and secondary readings in three papers, a group project written with Inform 7, a presentation, and frequent discussion.

Descripción de varias clasificaciones de señales.

Java Digital Signal Processing (J-DSP) is an object-oriented visual programming tool that enables users to establish and run online signal processing simulations, and visualize Internet based interactive demos. It has been used in laboratories involving b

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.

Communication networks have changed a lot over the years, but many aspects of them are still the same.

How does the computer's peculiar binary world of digital entities differ from our analogue world of colour, sound, taste and touch? This unit explores the way in which information, in the form of text, still and moving images, and sound can cross the boundary from the analogue universe into a digital world.

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.

An introductory course in Digital Signal Processing

We will now look at aliasing and its effect on the sampled signal. As you know, aliasing exists whenever signal frequencies greater than Fs/2 are sampled using a sampling frequency of Fs. To eliminate aliasing, most sound cards and DSP boards have some sort of built-in analog anti-aliasing filter that removes all input signals greater than a certain frequency prior to sampling. It is important to remember that anti-aliasing filters must do the filtering prior to sampling ? otherwise, the high-frequency signals would have already aliased to lower frequencies by the sampling process.

NI LabVIEW DSP is a block diagram-based DSP development platform that allows the user to quickly set up complex DSP algorithms. The true power of LabVIEW lies in its ability to interface with external DSP devices and/or internal sound cards that are installed on the PC. The developed algorithms are downloaded to the DSP board, which then runs the algorithm in a real-time environment. In this lab, we will only scratch the surface regarding LabVIEW DSP's capabilities. For starters, we will look at how LabVIEW DSP interfaces with the A/D and D/A operations of the DSP board. Specifically, we will simply connect the A/D converter to the D/A converter so that the DSP system plays back audio signal sent to it.

The purpose of this lab is to examine FIR filter design/implementation using LabVIEW Digital Filter Design Toolkit and LabVIEW DSP Module. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW.

The purpose of this lab is to examine IIR filter design/implementation using LabVIEW DSP. Particular attention is drawn to the comparison between theoretical filter characteristics and actual filter performance. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW DSP.

The purpose of this lab is to examine IIR filter design/implementation using LabVIEW DSP. Particular attention is drawn to the comparison between theoretical filter characteristics and actual filter performance. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW DSP.

The purpose of this lab is to familiarize students with the DSP development workstation in the signal processing lab by examining sampling, analysis, and reconstruction of continuous-time signals. Specifically, we will first look at sampling/reconstruction of continuous-time signals. We will then examine time- and frequency-domain displays. Finally, we will examine the importance of sampling frequency and its effects on aliasing.

This course is a demonstration of using the Connexions project to host foreign language content in the context of a DSP lab course. It borrows material from Doug Jones' ECE320 course at UIUC and provides translations of some of the material in the Japanese, Chinese and Thai languages.

A description of the recommended notation for use with digital signal processing modules submitted to the Connexions project.

How to compute discrete-time Fourier transforms for decaying sequences.