The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital ...

This chapter introduces concepts of digital signal processing (DSP) and reviews an overall picture of its applications. Illustrative application examples include digital noise filtering, signal ...

Signal processing theory and methods includes the foundational knowledge for this focus area. It includes courses in the basic theory of digital signal processing and filter design and the use of ...

This course covers the basic theory of digital signal processing. Sampling theory, discrete time signals and systems, and transform methods - Z transform and Fourier series and transforms - are ...

Take advanced courses in signal processing (image, speech, audio, etc.), communications, systems and control. ABET CONTENT CATEGORY: 100% Engineering (Design component).

The aim of the course is to introduce you to the advanced concepts of processing signals that are represented as finite-precision number sequences, and to examine the role of digital signal processing ...

Covering everything from signal processing algorithms to integrated circuit design, this complete guide to digital front-end is invaluable for professional engineers and researchers in the fields of ...

Six workstations are available, scanner, and printers. Other dedicated tools hardware and software include: Several TI instruments DSP processors such as TMDX320026701 DSP.

If you’ve taken any digital signal processing classes at a college or university, you’ve probably been exposed to MATLAB. However, if you want to do your own work, you might think about Linux ...

Initial concerns are: Is the input analogue or digital? Is the output analogue or digital? Will signal processing use analogue or digital techniques? This idea is shown in Figure 7.1, where signal ...