... Rake-based multi- user detection technique is proposed for quasi-synchronous MIMO systems. The first step separates the multi- user multi- path signal vector into multi- user single-path signal vectors ... MIMO-OFDM system 1.3 Semi-blind signaldetection Traditional signaldetection techniques use training sequences to estimate the channel as the first step. Signaldetection then follows equalization. ... signals are combined using the Rake receiver principle for multi- user detection. It is shown that the output of the combiner yields the estimated transmitted signals. It follows that the multi- user...
... The Linear Multivariate Gaussian Model13.5 Temporal Signals in Gaussian Noise Signal Detection: Known Gains• Signal Detection: UnknownGains• Signal Detection: Random Gains• Signal Detection: Single ... Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known Spatial Covariance• Detection: Unknown Gains andUnknown SpatialCovariance13.7 Signal ClassificationClassifying Individual ... LLC13 Signal Detection and ClassificationAlfred HeroUniversity of Michigan13.1 Introduction13.2 Signal Detection TheROCCurve•DetectorDesignStrategies•LikelihoodRatioTest13.3 Signal...
... The Linear Multivariate Gaussian Model13.5 Temporal Signals in Gaussian Noise Signal Detection: Known Gains• Signal Detection: UnknownGains• Signal Detection: Random Gains• Signal Detection: Single ... Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known Spatial Covariance• Detection: Unknown Gains andUnknown SpatialCovariance13.7 Signal ClassificationClassifying Individual ... LLC13 Signal Detection and ClassificationAlfred HeroUniversity of Michigan13.1 Introduction13.2 Signal Detection TheROCCurve•DetectorDesignStrategies•LikelihoodRatioTest13.3 Signal...
... The Linear Multivariate Gaussian Model13.5 Temporal Signals in Gaussian Noise Signal Detection: Known Gains• Signal Detection: UnknownGains• Signal Detection: Random Gains• Signal Detection: Single ... Detection: Single Signal 13.6 Spatio-Temporal Signals Detection: Known Gains and Known Spatial Covariance• Detection: Unknown Gains andUnknown SpatialCovariance13.7 Signal ClassificationClassifying Individual ... LLC13 Signal Detection and ClassificationAlfred HeroUniversity of Michigan13.1 Introduction13.2 Signal Detection TheROCCurve•DetectorDesignStrategies•LikelihoodRatioTest13.3 Signal...
... like this: Trial Interval 1 Interval 2 1 Signal: x = 3 Noise: x = 1 2 Signal: x = 6 Noise: x = 4 3 Noise: x = 3 Signal: x = 4 4 Signal: x = 4 Noise: x = 4 and so on. When ... High certainty signal to low certainty signal Category 1 2 34 5 P(S s) 059 0.77 0.84 093 1.00 P(S 001 005 010 0.34 1 00 29 A PRIMER OF SIGNAL DETECTION THEORY ... were 288 signal and 288 noise trials and the observer gave his responses on a five-point confidence scale Observer's response High certainty signal to low certainty signal...
... electrocardiogram signals are locally recorded, but remotely analyzed at a central US data facility, due to the size and complexity of the digital signal process-ing, the analysis by multiple mathematic ... DFT signal averaging are performed on the data from the two ECG leads during the 82 second sam-pling period followed by signal averaging. The final averaged digital data, obtained from multiple ... Two-Lead, Computerized, Resting ECG Signal Analysis De-vice, the MultiFunction-CardioGramsm or MCG (a.k.a. 3DMP), to Quantitative Coronary Angiography for the Detection of Relevant Coronary Artery...
... is the time-domain signal x(n)158 FREQUENCY ANALYSIS4 Frequency Analysis Frequency analysis of any given signal involves the transformation of a time-domain signal into its frequency components. ... aperiodic signals,the frequency analysis of discrete-timeaperiodic signals involves the Fourier transform of the time-domain signal. In previoussections,we have used the z-transform to obtain the frequency ... describing a signal in the frequency domain exists because signal processing is generally accomplished using systems that aredescribed in terms of frequency response. Converting the time-domain signals...
... for written text include somemeans for the detection of nonreferential it. How-ever, evaluation figures for this task are not alwaysgiven. As the detection of nonreferential it is sup-posed ... but that they can signal importantinformation (cf. Heeman & Allen (1999)).5 Conclusion and Future WorkThis paper presented a machine learning systemfor the automatic detection of nonreferential ... reliability of this classification.Paice & Husk (1987) is the first corpus-basedstudy on the detection of nonreferential it in writ-ten text. From examples drawn from a part ofthe LOB corpus...
... axis (mm)225023002350240024502500255026002650RF Signal Initial signal After ammoniaAfter acetic acid Fig. 5. Radio frequencysignal obtained from PAn-DBSA dispersion cast on glass, ... received signal to a low imped-ance suitable for subsequent signal processing. The amplified sig-nal was converted to a DC voltage of relatively low frequency. These waveforms are the ‘RF signal ... in the radio frequency detector out-put similar to those obtained with the PAn-nanofibre dispersion(Fig. 5).By abstracting the signal maxima of the sensor, it was possibleto plot signal strength...
... into account in modelingapproaches addressing ERK1,2 signaling, and the roleof individual transcription factors targeted throughMEK ⁄ ERK signaling was not included.Here we aim at identifying ... receptor-induced network of MAPK signalingshowed that relatively few, distinct steps in the signal- ing cascade appeared to have a significant controlfunction for the signaling amplitude, duration ... 1.7 in fibroblasts[40]. Hill coefficients of signaling cascades are maxi-mally the product of the Hill coefficients of theindividual elements of the signaling pathway [41,42].Therefore, the remaining...
... to record the feature frequency. The k’th entry vvvkcorresponds to the frequency of the feature k in this window. Givena feature k, we use u to record the normalized frequency: u = vvvk/q.For ... Chinese wordsegmentation and new word detection. • Compared with prior work, our systemachieves better accuracies on both wordsegmentation and new word detection. 2 Related WorkFirst, we review ... segmentationand new word detection. Then, we review popularonline training methods, in particular stochasticgradient descent (SGD).2.1 Word Segmentation and New Word Detection Conventional approaches...
... the tree order of individualsequences and of group of sequences between fragmentsof defined length indicate conflicting phylogenetic rela-tionships. Alternatively, individual non-recombinantsequences ... sequential 300 basesequence fragments at 100 nucleotide intervals. Frequency and mapping of recombinationEstimation of the frequency and mapping of the locationsof recombination events was ... CentralPage 1 of 10(page number not for citation purposes)Virology JournalOpen AccessResearch Detection and frequency of recombination in tomato-infecting begomoviruses of South and Southeast AsiaHC...
... CentralPage 1 of 10(page number not for citation purposes)Virology JournalOpen AccessResearch Detection and frequency of recombination in tomato-infecting begomoviruses of South and Southeast AsiaHC ... samples with a low false positive rate [47]. Detection of recombination breakpointsThe recombination breakpoint analysis was carried outusing Recombination detection program RDP [48],GENECONV [19] ... the tree order of individualsequences and of group of sequences between fragmentsof defined length indicate conflicting phylogenetic rela-tionships. Alternatively, individual non-recombinantsequences...
... analysis to rectilinear known useful signals for which the baseband signal is real, which concerns many applications. Keywords : Detection, GLRT, Known signal, Unknown parameters, Noncircular, ... sets of unknown signal parameters, for the detection of a known signal corrupted by an unknown SO noncircular total noise. To simplify the analysis, only rectilinear known useful signals are considered, ... useful signals whose complex envelope is real such as AM, PPM, ASK or BPSK signals. We could also talk about one-dimensional signals. This assumption is not so restrictive since rectilinear signals,...