Introduction to electrical and computer engineering taught in context

Carley, L. Richard

McGraw-Hill Companies

Provides students with real-world experience with electronic components on which to build their theoretical understanding, without an extensive background in math or physics (only basic algebra is needed). The authors believe that by learning simplified behavioral models for nonlinear devices, rather than complex nonlinear equations, students may actually develop a better insight into the operation of electronic circuits. 
 An extensive series of laboratory exercises are woven into the course, centering around a small programmable robot. The lab exercise manual describes the series of experiments, but the text can be used with or without the exercises--or with a different set of lab exercises.

LSC CPST (CARNEGIE MELLON) Intro Elec Comp Eng

Business & Money

Learning Solutions

A series of lab exercises developed to enable students to gain practical experience. The exercises are centered around a small programmable robot (Graymark 603A). In each chapter one or more important concepts are first illustrated by assembling the circuit being studied and then by performing a series of experiments and observations.

Experimental Context for Introduction to Electrical and Computer Engineering

Engineering & Transportation

Engineering

Magnetic data storage can be viewed as a data communication system. This is not a sUlprising view, considering that data storage is essentially the transfer of data between different times. The past decade has indeed seen rapidly growing interest in applying improved coding and detection techniques to magnetic data storage, a traditional approach to enhance performance of communication channels. Since its inception in the 1930's, the magnetic recording industry has achieved impressive progress in data capacity. This has been made possible mainly by innovations and advances in heads and media design. However, as the demand for higher storage capacity continues in the modem information era, a need arises to explore other possibilities to help meet the ever-growing demand. Advanced coding and detection are one such possibility, providing an efficient, cost-effective means to increase data capacity. In fact, with the advent of modem Ie technology which has enabled real-time implementation of increasingly complex signal processing algorithms, advanced coding and detection are rapidly becoming a major issue in the development of improved data storage products. While there have been remarkable advances in recent years in the areas of both coding and detection for data storage, this book focuses only on data detection, or the processing of readback waveforms to reproduce stored data, in conjunction with the traditional modulation coding method called run length-limited or (d,k) coding.

Sequence Detection for High-Density Storage Channels (The Springer International Series in Engineering and Computer Science, 187)

Computers & Technology

Moon, Jaekyun

Computer Science

Springer

Magnetic data storage can be viewed as a data communication system. This is not a sUlprising view, considering that data storage is essentially the transfer of data between different times. The past decade has indeed seen rapidly growing interest in applying improved coding and detection techniques to magnetic data storage, a traditional approach to enhance performance of communication channels. Since its inception in the 1930's, the magnetic recording industry has achieved impressive progress in data capacity. This has been made possible mainly by innovations and advances in heads and media design. However, as the demand for higher storage capacity continues in the modem information era, a need arises to explore other possibilities to help meet the ever-growing demand. Advanced coding and detection are one such possibility, providing an efficient, cost-effective means to increase data capacity. In fact, with the advent of modem Ie technology which has enabled real-time implementation of increasingly complex signal processing algorithms, advanced coding and detection are rapidly becoming a major issue in the development of improved data storage products. While there have been remarkable advances in recent years in the areas of both coding and detection for data storage, this book focuses only on data detection, or the processing of readback waveforms to reproduce stored data, in conjunction with the traditional modulation coding method called run­ length-limited or (d,k) coding.

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