alexa Signal Processing and Communication

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Signal Processing and Communication

Research in the Communications and Signal Processing area focuses on issues regarding the efficient processing and transmission of data. Some examples of sources of data include sound, images, and sensor output signals. Signal processing algorithms deal with efficiently transforming the signals resulting from these sources into digital data streams. Communications research focuses on efficiently transmitting streams of data from one location to another. One important example of communications research is the investigation of techniques that transmit ever increasing data rates with multiple users while consuming less radio frequency spectrum and transmitted signal power.
Examples of signal processing research include processing blurry images, recognition of features in images, efficient coding of signals and images into data, and algorithms for implementation of communications modulation and coding techniques.
Techniques such as multiple antennas, spread spectrum, software radios, modulation and error control coding schemes, sensor networks, and ultra-wideband radio are examples of topics of research in communications.

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