maximum-likelihood detection
Reduced Complexity Maximum Likelihood Detection in Downlink SDMA Systems
... reduced-complexity maximum-likelihood detection algorithm advocated is summarized in Section IV, along with the portrayal of our soft-bit information generation technique used for invoking channel ...
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Maximum likelihood detection for cooperative molecular communication
... Molecular communication (MC) has been heralded as one of the most promising paradigms to implement communication in bio-inspired nanonetworks, due to the potential benefits of bio-compatibility and low energy ...
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Reduced Complexity Near Maximum Likelihood Detection for Decision Feedback Assisted Space Time Equalization
... Abstract— A novel Decision-Feedback (DF) aided reduced complexity Maximum Likelihood (ML) Space-Time Equalizer (STE) designed for a single-carrier system is introduced. Two different methods of ...
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Efficient Near Maximum Likelihood Detection for Underdetermined MIMO Antenna Systems Using a Geometrical Approach
... The joint closeness property serves as a necessary con- dition for the ML detection (15). The fact that the number of points that are jointly close in all directions are scarce be- comes the key to the design of ...
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Achieving low complexity maximum likelihood detection for the 3D MIMO code
... inner searches (either a or b) results in a joint search of six information symbols. Therefore, the worst-case decod- ing complexity is reduced from O(M 8 ) to O(M 6 ). We note that this complexity reduction does not ...
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Reduced Complexity Maximum Likelihood Detection in Multiple Antenna Aided Multicarrier Systems
... The rest of this paper is structured as follows. The system model as well as the principles of ML space-time detection are briefly outlined in Section 2.1. A novel recursive ML detection technique is ...
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Non orthogonal multiple access with joint maximum likelihood detection in heterogeneous network
... (MIMO) detection pro- cess. In this case, simple linear detection schemes such as a zero-forcing detection scheme or a minimum mean- square-error detection scheme can be ...nonlinear ...
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Maximum likelihood detection for coded combinerless LINC OFDM systems
... Owning to the high peak-to-average power ratio problem, the power efficiency of orthogonal-frequency-division- multiplexing (OFDM) systems is usually low. It deteriorates in millimeter wave systems in which the design of ...
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Maximum Likelihood Detection for Detect and Forward Relay Channels
... In this paper, we developed a new signal combining strategy based on ML criterion for cooperative relay scheme which accounts the potential errors at relays. The errors are expressed as the Gaussian Q-function for each ...
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Genetically Enhanced TTCM Assisted MMSE Multi user Detection for SDMA OFDM
... User Detection (MUD) techniques has recently attracted intensive re- search ...and Maximum Likelihood Detection (MLD) [2, 4] schemes may be invoked for the sake of separating the different ...
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Analysis of Offset Pulse Position Modulation
... Keywords: Digital pulse position modulation, Information theory, Maximum likelihood detection, Optical communication, Offset pulse position modulation, Pulse detection errors, Bit error [r] ...
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Maximum Likelihood Under Response Biased Sampling
... whose outcome is s above. Note that knowledge of S is equivalent to knowledge of I N . Clearly the distribution of X S will NOT, in general, be the same as the distribution of n randomly chosen values of X. The task ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... A family of positively skewed distributions known as kappa distributions introduced by Mielke [3] and Mielke and Johnson [4], is very popular for analyzing precipita- tion data (cf. Park et al. [5], Kysely and Picek [6], ...
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Distributions of Maximum Likelihood Estimators and Model Comparisons
... Abstract —Experimental data need to be assessed for purposes of model identification, estimation of model parameters and consequences of misspecified model fits. Here the first and third factors are consid- ered via ...
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Maximum likelihood estimates of pairwise rearrangement distances
... a maximum likelihood estimator for the inversion distance between a pair of genomes, using a group-theoretic approach to modelling inversions introduced ...
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Partial interference cancellation with maximum likelihood sequence detection in FBMC spatial multiplexing system
... interference before applying a local ML detection and proposed some receiver schemes. However, the obtained performance was limited and far from the optimum due to the error propagation. We have also proposed in ...
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Maximum Likelihood Analysis of Neuronal Spike Trains
... given in Fig.4.5.6a indicates that the inhibitoiy effects o f an input last only about 8 msec, in contrast, the summation function given in Fig.4.5.7a reveals effects lasting 35 msec, i.e., {a u} ; u = 0, 1 , 3 5 , are ...
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Obtaining Expected Maximum Log Likelihood Estimators
... equating the derivative of the sample likelihood to zero and solving for 0 is a plausible way of estimating 00.. Of course, it also maximises the sample.[r] ...
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Which quantile is the most informative? Maximum likelihood, maximum entropy and quantile regression
... Interestingly, the parameter µ in functions (1) and (2) is at the same time the location parameter, the τ-th quantile, and the mode of the ALPD. For the simple (unconditional) case, the minimization of (1) returns ...
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INTERNATIONALJ OURNALOF ENGINEERINGS CIENCES& MANAGEMENT Analysis of Equalization Techniques for MIMO Systems in wireless communication Abhishek Rawat
... exponential in QAM. This paper coverage ranges from simple linear detectors based on the zero-forcing and MMSE criteria to the optimal maximum-likelihood detector [1]. The successive-cancellation or ...
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