Communication Systems
By Simon Haykin. 2011
2,743 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c9df57cf5031a077cf9ef50dcb4dfb90b0fc9b00
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Ian F. Akyildiz
- H. C. Gerhardt
- Robert W. Tkach
- Ö. Akan
- René-Jean Essiambre
- M. Bee
- Josep Miquel Jornet
- Shuai Nie
In Computational Mechanics
- Raul Tello Rato
- Ian F. Akyildiz
- Arnaldo G. Batista
- H. C. Gerhardt
- Robert W. Tkach
- Manuel Duarte Ortigueira
- Mehmet Can Vuran
- René-Jean Essiambre
In Electrical and Electronic Engineering
- Ö. Akan
- Ian F. Akyildiz
- Vamsi Talla
- Bryce Kellogg
- Mehmet Can Vuran
- Shyamnath Gollakota
- Robert W. Tkach
- Joshua R. Smith
Citations in the corpus
- Optical Wireless Communications With Heterodyne Detection Over Turbulence Channels With Pointing Errors (2009, neutral): “difference between successive phases [17].”
- Capacity Trends and Limits of Optical Communication Networks (2012, methodology): “We can also express the SE as a function of SNR b to first order in SNR b as”
- On the HHT, its problems, and some solutions (2008, background): “If the envelopes were symmetric we would say that xðtÞ is an AM signal [11].”
- Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case (2001, neutral): “Among others, the complex signal has found applications in narrowband communication [4], NMR-spectroscopy [5], geophysics [6], [7], and image processing.”
- Spatio-temporal correlation: theory and applications for wireless sensor networks (2004, background): “Assuming the observed signal sðtÞ is wide-sense stationary (WSS), the expectation of the signal over the decision interval s can be calculated by the time average of the observed signal [8], i.”
- Minimum mean squared error equalization using a priori information (2002, neutral): “For complexity reasons, the equalization task typically consists of linear processing of the received channel output [linear equalizer (LE)] and possibly past symbol estimates [decision feedback equalizer (DFE)] [2], [3].”
- Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices (2016, background): “ and Bluetoothreceiversconsume orders of magnitude higher power than backscatter and would offset its power saving. In fact, existing ultralow power receiver designs rely on amplitude modulation (AM) [24], which is not supported by Wi-Fi or Bluetooth. At a high level, we first transform a Bluetooth t”
- Automatic speech recognition and speech variability: A review (2007, neutral): “Another methodology is to use the notion of the amplitude modulation (AM) and the frequency modulation (FM) (Haykin, 1994).”
- A survey on routing techniques in underwater wireless sensor networks (2011, background): “Different models like Urick propagation model (Vuran and Akyildiz, 2008) and Rayleigh fading model (Haykin, 1994) can be helpful to understand and analyze the acoustic channel characteristics like refection, diffraction, and scattering of sound.”
- Cognitive radio: brain-empowered wireless communications (2005, neutral): “Following the well-known definition of equivalent noise temperature of a receiver [20], we may state that the interference temperature is measured in degrees Kelvin.”
- Sparse Spectrum Gaussian Process Regression (2010, neutral): “The Wiener-Khintchine theorem (see for example Carlson, 1986, p. 162) states that the power spectrum and the autocorrelation of the random process constitute a Fourier pair.”