[PDF] Top 20 Maximum likelihood detection for cooperative molecular communication

... symbol-by-symbol maximum likeli- hood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) ...the likelihood of the observations from ... See full document

... In this paper, we aim at providing the destination with a more accurate CSI in its decision criterion. While the idea itself of having perfect CSI is not new [9,11,13], the CSI in the previous works is calculated based ... See full document

... The relevant information-theoretical analysis predicts [3] that sub- stantial capacity gains are achievable in wireless communication systems employing a Multiple Input Multiple Output (MIMO) architecture using ... See full document

... mobile communication system, non-orthogonal multiple access (NOMA) has been ...joint maximum likelihood (ML) detection to overloaded signals has also been investigated, and joint ML ... See full document

... Multiple-input multiple-output (MIMO) is a promising technique that can bring significant improvements to the wireless communication systems. In combination with space-time block code (STBC), it provides higher ... See full document

... Multiple-input multiple-output (MIMO) technology has emerged recently as one of the most significant technologies in modern communication. By using MIMO technology an increase in the system capacity and/or an ... See full document

... As known, power amplifier (PA) is the most power-hungry device in wireless transceivers. The PA efficiency heav- ily depends on the peak-to-average power ratio (PAPR) of the transmit signal. By allocating the modulated ... See full document

... multi-user communication system invoking a novel low-complexity Maximum Likelihood (ML) space-time detection technique is proposed, which can be regarded as an advanced extension of the ... See full document

... operative detection among K distributed receivers in a diffusion- based molecular communication (MC) system is analyzed and ...the detection information of distributed ... See full document

... new cooperative spectrum signal detection algo- rithm for underwater communication based on com- pressed sensing is to introduce the unknown variable to a certain prior condition distribution, select ... See full document

... The model described above does not penalize obvious misassemblies when two contigs are joined together without any evidence in the reads. We have observed that to make the likelihood function applicable as an ... See full document

... Statistical entropy deals with a measure of uncertainty or disorder associated with a probability distribution. The principle of maximum entropy (ME) is a tool for infer- ence under uncertainty [1,2]. This ... See full document

... ered, the marker systems were assumed to be independent; however linked loci can readily be handled by the method presented here, provided that a suitable recombination model is incorporated into calculating the ... See full document

... The often ill-posed nature of inverse problems in remote sensing of the atmosphere is typically fought by formal regu- larization, i.e. by inclusion of prior information in a Bayesian or related sense. The most common of ... See full document

... the likelihood, not of all the data, but of a selected set of "error ...the likelihood, however the variances to be estimated are then embedded in the eigenvalues, so differentiating with respect to ... See full document

... constrained maximum likelihood for rating level probability of default and for rating migration ...constrained maximum likelihood, with a fair risk scale determined by constrained ... See full document

... interference is orthogonal to the useful data symbols, data detection is easily performed when the channel is flat fad- ing or lowly selective [6]. However, in some situations like when the channel is highly ... See full document

... the likelihood of both under- and over-preparedness errors can only result from increases in either the goodness of fit of trend models as measured by the correlation coefficient ρ, or by waiting for additional ... See full document

... spectrum detection method with dynamic threshold adjustment is proposed, to improve the spectrum efficiency of cooperative sensing and to reduce the system ...error detection probability an ... See full document

... Figure 10 shows the performance of MLV, CRB-MV and RB with a set of relatively well balanced medium to high reliability versions (0.85 to 0.94). The same acceptance test version was used by Consensus Recovery Block and ... See full document