Applied signal and image processing : multidisciplinary by Rami Qahwaji, Roger Green, Evor L. Hines

By Rami Qahwaji, Roger Green, Evor L. Hines

"This publication highlights the starting to be multidisciplinary nature of sign and snapshot processing via concentrating on rising purposes and up to date advances in well-established fields, protecting state-or-the-art functions in either sign and photo processing, which come with optical communique and sensing, instant conversation administration, face acceptance and facial imaging, sun imaging and have detection, fractal Read more...

content material: part 1. Multidisciplinary developments in sign processing --
part 2. Multidisciplinary developments in picture processing.
summary: "This e-book highlights the starting to be multidisciplinary nature of sign and photograph processing via targeting rising functions and up to date advances in well-established fields, protecting state-or-the-art functions in either sign and picture processing, which come with optical verbal exchange and sensing, instant verbal exchange administration, face reputation and facial imaging, sun imaging and have detection, fractal research, and video processing"

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IEEE Proceedings in Optoelectronics, 149(5-6), 222–227. 1049/ip-opt:20020545 24 Signal Processing for Optical Wireless Communications and Sensing Gonzalez, R. (2005). OFDM over indoor wireless optical channel. IEEE Proceedings in Optoelectronics, 152, 199–204. 1049/ ip-opt:20045065 Haupt, R. L. (1995). An introduction to genetic algorithms for electromagnetics. IEEE Antennas and Propagation Magazine, 37(2), 7–15. 382334 Goral, C. , Torrance, K. , Greenberg, D. , & Battaile, B. (1984). Modeling the interaction of light between diffuse surfaces.

In an optical fibre communication system, if the system is not limited in performance by the photodiode shot noise, then that shot noise, plus any Johnson noise in the front end (the head amplifier), is exacerbated due to its previously white spectrum being converted to triangular above the 3 dB point (f0=1/2πτ). This results in the integrated noise power, over a typical signal bandwidth B, greater than the original 3 dB bandwidth, being a function of B3 – a very undesirable feature. In turn, this produces increased jitter and Bit Error Rate (BER) in digital systems.

This chapter reports on novel signal processing techniques for measuring in real-time the delay and strength of the varying skywave components of a Loran signal relative to the groundwave pulse. The merits and limitations of these techniques will be discussed. Their effectiveness will be assessed by theoretical analysis, computer simulations under a range of realistic conditions, and by testing using off-air signals. A prototype Loran system employing the proposed techniques is also presented. This work establishes a basis on which to design a Loran receiver capable of adjusting its sampling point adaptively to the optimal value in a constantly-changing skywave environment.

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