distortion invariant minimum mean squared error filtering algorithm for pattern recognition
Linear Minimum Mean-Square-Error Transceiver Design for Amplify-and-Forward Multiple Antenna Relaying Systems
... proposed iterative algorithm proceeds between (2.18) and (2.19a), which can be summarized as Algorithm 2.1 This iterative algorithm can be shown to Algorithm 2.1 The iterative algorithm for joint design ... The proposed closed−form solution The proposed iterative algorithm −2 10 10 15 20 25 SNRrd (dB) Figure 2.3 The MSEs for the closed-form solution and the iterative algorithm for 2 different β and ... MSEs for the two proposed solutions and the algorithm based on estimated channels only for different α, when β = 0.45 and σe = 0.005 34 2.7 The MSEs for the two proposed solutions and the algorithm...
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Báo cáo hóa học: " Research Article Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier " docx
... knowledge due to, for example, channel estimation error are extremely important Specifically, in this contribution we investigate the zero-forcing MUD (ZF-MUD) and minimum mean- square error MUD (MMSE-MUD) ... and Networking MRC Zero-forcing − Rc CT y11 HH 11 x1 ··· yu1 Zero-forcing − Rc CT HH u1 yu2 Zero-forcing − Rc CT HH u2 xu ··· Zero-forcing − Rc CT yup HH up ··· Zero-forcing − Rc CT yqp HH qp ... illustrate a range of performance results for all the MUD schemes considered in this contribution PERFORMANCE RESULTS In this section, we show a range of BER performance results for the MC DS-CDMA...
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Báo cáo hóa học: " Research Article Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier DS-CDMA Systems for Cognitive Radio" docx
... knowledge due to, for example, channel estimation error are extremely important Specifically, in this contribution we investigate the zero-forcing MUD (ZF-MUD) and minimum mean- square error MUD (MMSE-MUD) ... and Networking MRC Zero-forcing − Rc CT y11 HH 11 x1 ··· yu1 Zero-forcing − Rc CT HH u1 yu2 Zero-forcing − Rc CT HH u2 xu ··· Zero-forcing − Rc CT yup HH up ··· Zero-forcing − Rc CT yqp HH qp ... illustrate a range of performance results for all the MUD schemes considered in this contribution PERFORMANCE RESULTS In this section, we show a range of BER performance results for the MC DS-CDMA...
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Báo cáo khoa học: "AN ALGORITHM FOR PLAN RECOGNITION COLLABORATIVE DISCOURSE*" pot
... presented several graph-based algorithms derived from his formal model of plan recognition In Kautz's algorithms, an explanation for an observation is represented in the form of an explanation graph ... rgraph construction algorithm, we exploit this by restricting the reasoning done by the algorithm to recipes for A, and by combining explanations for acts as soon as possible Kautz's algorithm, however, ... modelling this information and have provided an algorithm for constructing and reasoning with it The steps of the construction algorithm parallel the reasoning that an agent performs in determining...
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Error estimation for pattern recognition
... selection rule error estimation rule error estimator population-specific estimated error rates error estimator bias error estimator deviation variance error estimator root mean square error error estimator ... Resubstitution Error / 121 5.4.2 Leave-One-Out Error / 122 5.4.3 Cross-Validation Error / 122 5.4.4 Bootstrap Error / 124 5.5 Expected Error Rates / 125 5.5.1 True Error / 125 5.5.2 Resubstitution Error ... Leave-One-Out Error / 130 5.5.4 Cross-Validation Error / 132 5.5.5 Bootstrap Error / 133 5.6 Higher-Order Moments of Error Rates / 136 5.6.1 True Error / 136 5.6.2 Resubstitution Error / 137 5.6.3...
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A new algorithm for enumeration of minimum cutsets of graph by branch addition
... 100-107 6 Table 1: Minimum cutsets of output node 19036 for figures , 7, Minimum cutset No Branch # Branch # Minimum cutset No Branch # Branch # Minimum cutset No Branch # Branch # Minimum cutset ... and The minimum cutsets for output node 19036 are shown in Table For this case study, 252 minimum cutsets of order (without any order 1) calculated in 16 seconds Since there are many minimum ... definition of minimum cutset However, this problem can be solved easily For this approach, above algorithm should be changed as follows: The algorithm will be repeated p times to evaluate minimum cutsets...
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Báo cáo khoa học: "Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking" docx
... similar algorithm is AdaRank (Xu and Li, 2007), developed for document ranking in information retrieval Our main difference lies in Lines 4-7 in Algorithm 1: AdaRank proposes a simple closed form ... 2005 Training and evaluating error minimization rules for SMT In ACL Workshop on Building/Using Parallel Texts J Xu and H Li 2007 AdaRank: A boosting algorithm for information retrieval In SIGIR ... features for statistical machine translation In HLT/NAACL F.J Och 2003 Minimum error rate training in statistical machine translation In ACL R E Schapire and Y Singer 1999 Improved boosting algorithms...
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Báo cáo sinh học: " Research Article Improved Noise Minimum Statistics Estimation Algorithm for Using in a Speech-Passing Noise-Rejecting Headset" pptx
... [15] A minimum mean square error approach for denoising that relies on a combined stochastic and deterministic speech model is discussed in [16] Formant tracking linear prediction (LP) model for ... are achieved For good performance, lower values for δ and ξ in the lower bands are suggested MOS Performance Evaluation In order to evaluate the performance of any speech enhancement algorithm, ... However, the algorithm cannot distinguish between a rise in noise power and a rise in speech power In the algorithm, there is a very sophisticated formula for computing gain factors for each subband...
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Báo cáo sinh học: " Research Article A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images" pptx
... illustrate the performance of the proposed algorithm Images are corrupted by uniformly distributed salt and pepper noise at different densities for evaluating the performance of the algorithm Three ... comparison is performed between several filters and the proposed algorithm in terms of Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Image Enhancement Factor (IEF), Mean Structural ... processing is completed for the entire image Illustration of the Proposed Algorithm The Proposed Noise Removal Algorithm Let X denote the image corrupted by salt and pepper noise For each pixel X(i,...
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Báo cáo hóa học: " Research Article A Scheduling Algorithm for Minimizing the Packet Error Probability in Clusterized TDMA Networks" pptx
... tractable analytical solution for the PER for a wide range of different modulations, coding methods, and fading channels [11] To overcome this, a closed-form formula for estimation of the PER in ... expected, synchronization errors reduce network throughput when using the proposed algorithm, but also when using a random schedule Note that, even for relatively large errors, for example, σω = 40Ts ... to [14] and references cited therein, for more information regarding the block error probability of various coding and decoding methods Since the closed-form analytical solution to P e,m is untractable...
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Báo cáo hóa học: " Research Article Minimum Probability of Error-Based Equalization Algorithms for Fading Channels" docx
... stochastic unbiased minimum mean error rate algorithm for decision feedback equalizers,” in Proceedings of the 24th IASTED International Conference on Signal Processing, Pattern Recognition, and ... coefficients for channel h(3) the new algorithms where the complexity is not exponential with respect to the support of the overall impulse response The performance of BBEAe is very close to BBEAd for minimumphase ... · · 10−2 for BBEAd and BBEAe, and 0.01 · · · 0.2 for AMBER in the case of different channels and different SNRs, respectively For the sake of comparison, the exact PE was calculated by formula (9)...
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Báo cáo y học: " Derivation and preliminary validation of an administrative claims-based algorithm for the effectiveness of medications for rheumatoid arthritis"
... effectiveness of medications for rheumatoid arthritis (RA) due to the lack of a validated algorithm for this outcome We created and tested a claims-based algorithm to serve as a proxy for the clinical effectiveness ... administrative claims data To test the performance of the effectiveness algorithm and to see whether it was similar for non-biologic RA treatments, we performed a separate analysis of RA patients ... performance characteristics of the effectiveness algorithm between biologic and DMARD treatment episodes, the data were shown throughout for the biologic users as a unique group, and also for...
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An efficient genetic algorithm for the p median
... operators For example, for a problem with (n, p) = (100, 20), the algorithm terminates if 448 successive children fail in improving the best solution (For all of our test problems, we had n > 2p √ For ... computational effort 4.10 Algorithm The overall algorithm can be stated as follows Algorithm Generate an initial population of size P (n, p) as described in section 4.4 Initialize a variable for keeping ... could improve the performance on some problems by slowing down convergence We made no effort to customize the algorithm to the problems on hand, and used the same formulas for the population size...
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Reliability evaluation algorithm for complex medium voltage electrical distribution networks based on the shortest path
... network are therefore formed based on the primary network search for upstream circuit breaker J 2.4.4 identifying the classes of nodes: From Section 2.4.1, the upstream nodes before the switching ... Class D into Class C The repair time for a transformer is much longer than the replacement time, and therefore the difference between the reliability indices for the two cases is significant It ... discomensfusesalternative supply-transform repair Case B: no disconnectsno fuses-no alternative supply-transform repair Case C no disconnects-fusesno alternative supply-transform repair Case D disconnectsno...
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Adjustable speed drive with active filtering capability for harmonic current compensation
... almost equal For the experiment, two controllers will be considered: the deadbeat controller for its excellent performance, and the PI controller for its compromise of simplicity - performance B ... small errors in the compensation of the network voltages (Fig 9, and for the Fourier Method also due to errors in the cross-coupling compensation (Fig ) and errors in the compensation of the error ... a phase error enet3 A Compensationfor the PI controller An optimal implementation frequency of the PI-controller is f&,=50 Hz At this frequency the gain- and phase errors are the same for the...
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A dynamic programming algorithm for RNA structure
... nested algorithm provides a way to unify the currently available dynamic algorithms for RNA folding At a given order, the error of the approximation is Figure Recursion for wx in the nested algorithm ... introduced for the nested algorithm (that ISs of y > or multiloops are described in some approximated form) Despite these limitations, this truncated pseudoknot algorithm seems to be adequate for the ... algorithm for energy minimization, extending MFOLD to pseudoknotted structures, the algorithm is not limited to energy minimization Our algorithm can be converted into a probabilistic model for...
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Tài liệu Dollar Cost Banding - A New Algorithm for Computing Inventory Levels for Army Supply Support Activities pdf
... from the supporting SSA For the 82nd Airborne, mean CWT was only 1.8 days for SSA fills, compared to, for example, 18 days for referrals and 113 days for backorders CWT for ASL fills was also ... Quantity (MEOQ) Formula 100 Tables S.1 Performance and Resource Metrics for Inventory Management xvi 2.1 Performance Metrics for Inventory Management 2.2 Resource Metrics for Inventory ... DCB was made mandatory for ASL reviews Figure S.1 shows the ASL fill rates for eight active Army divisions before and after the use of DCB for an ASL review The best performance is in the XVIII...
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Tài liệu Báo cáo khoa học: Computational processing and error reduction strategies for standardized quantitative data in biological networks doc
... robust procedure for error reduction and to develop reliable algorithms for data processing, facilitating the generation of high-quality data by quantitative immunoblotting Strategies for standardizing ... have been generated by immunoblotting Thus, reliable algorithms for error reduction and data processing are required to employ immunoblotting for the generation of high-quality quantitative data ... 20% error for each data point is estimated, whereas for weaker signals this percentage is increased (Fig 1B, lower panel) This noise consists of two different contributions: pipetting errors,...
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Tài liệu Error Log Processing for Accurate Failure Prediction docx
... All other error events within the time window are removed Filtering rules are stored for each time window specifying error symbols that pass the filter The filter rules are used later for online ... 1982 ular error logs, are a fruitful source of information both for analysis after failure and for proactive fault handling [9] M M Tsao and Daniel P Siewiorek Trend analysis on system error files ... Groups in rithm to automatically assign integer error IDs to error Data John Wiley and Sons, New York, 1990 messages, (b) a clustering algorithm for error sequences, [13] Rainer Schlittgen Einf¨...
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Tài liệu Báo cáo khoa học: "An Improved Redundancy Elimination Algorithm for Underspecified Representations" pdf
... highest reduction factor for an individual USR is 666.240 We also measured the ratio of USRs for which the algorithm achieves complete reduction (Fig 6): The algorithm is complete for 56 % of the USRs ... elimination algorithm, which computes the reduced chart directly from a dominance graph by checking each split for eliminability before it is added to the chart We compare the performance of this algorithm ... Let’s look at a run of the algorithm on the chart in Fig The algorithm can first delete the eliminable split with root for the entire graph G After this deletion, the splits for G with root fragments...
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