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fractionally spaced training sequence

A Modified T/2 Fractionally Spaced Coordinate Transformation Blind Equalization Algorithm

A Modified T/2 Fractionally Spaced Coordinate Transformation Blind Equalization Algorithm

... without training sequence is an im- portant means to eliminate intersymbol interference (ISI) ...Whereas, fractionally-spaced equal- izer based on constant modulus algorithm (FSE-CMA) is ...

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Fractionally spaced blind equalization with low complexity concurrent constant modulus algorithm and soft decision directed scheme

Fractionally spaced blind equalization with low complexity concurrent constant modulus algorithm and soft decision directed scheme

... training sequence. Furthermore, for multi-point communication systems, training is infeasible and blind equalizer provides a practical means for combating the detrimental effects of channel ...

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Fractionally Spaced Constant Modulus Algorithm for Wireless Channel Equalization

Fractionally Spaced Constant Modulus Algorithm for Wireless Channel Equalization

... Define FSE parameter as θ = [θ ∆ 0 (1) , θ (1) N , θ (p) 0 , . . . , θ N (p) ]. To adaptively adjust θ without a training sequence, CMA can be implemented to jointly update the p filters to minimize cost ...

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A fractionally spaced DFE with subband decorrelation

A fractionally spaced DFE with subband decorrelation

... Since for the DFE employs a non-linear decision device at the equaliser output, this system block cannot be translated into the subband domain or exchanged with linear system blocks such[r] ...

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Learning Invariant Features through Topographic Filter Maps

Learning Invariant Features through Topographic Filter Maps

... We use a very similar architecture to that used in the ex- periments above to train on the handwritten digits of the MNIST dataset [1]. This is a dataset of quasi-binary hand- written digits with 60,000 images in the ...

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Class 2 CRISPR/Cas: an expanding biotechnology toolbox for and beyond genome editing

Class 2 CRISPR/Cas: an expanding biotechnology toolbox for and beyond genome editing

... target sequence recognized by sgRNA is only 20 bp and Cas9 protein is not sensitive to the mismatch(es) between the target site and the 5 ′ -ter- minal of ...target sequence recognition [74]; (4) ...

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OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence to Sequence Models

OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence to Sequence Models

... Many recent Automated Speech Recognition (ASR) models are built using explicit encoder- decoder topology (Battenberg et al., 2017; Prab- havalkar et al., 2017; Chiu et al., 2017). How- ever, even for models without ...

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Agronomic performance of mash bean as an intercrop in sesame under different planting patterns

Agronomic performance of mash bean as an intercrop in sesame under different planting patterns

... The conventional method of planting sesame in 40-cm spaced single rows, however, does not permit intercropping because of narrow inter-row spacing. Recently a new method of planting sesame in well-spaced ...

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Channel equalization using watermark as a training sequence

Channel equalization using watermark as a training sequence

... Digital Watermarking is a well known technique used for authentication, copyrights protection and applications like avoiding illicit copying etc. Watermark is simply a sequence of some bits which is hidden in host ...

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Estimating evolutionary distances between genomic sequences from spaced-word matches

Estimating evolutionary distances between genomic sequences from spaced-word matches

... If the weight of the patterns – i.e. the number of match positions – in the spaced-words approach is sufficiently large, random space-word matches can be ignored. In this case, the Jensen-Shannon distance between ...

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Denoising based Sequence to Sequence Pre training for Text Generation

Denoising based Sequence to Sequence Pre training for Text Generation

... each training epoch, we compute the validation loss and halve the learning rate whenever the validation loss stops ...The training procedure terminates if the learning rate drops below 10 − 4 ...

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A Josephson relation for fractionally charged anyons

A Josephson relation for fractionally charged anyons

... Main Text: The Quantum Hall Effect (QHE) occurs in two-dimensional electron systems (2DES) when strong magnetic fields quantize the electron cyclotron energy into Landau levels. For integer Landau level filling factor ...

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Effectiveness of techniques for the learning of face-name associations

Effectiveness of techniques for the learning of face-name associations

... encoding features condition) and participants that learned faces using spaced retrieval. (Spaced retrieval condition and Combined condition)[r] ...

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Controlling Sequence to Sequence Models   A Demonstration on Neural based Acrostic Generator

Controlling Sequence to Sequence Models A Demonstration on Neural based Acrostic Generator

... tokens, the rhyme of each line and the length of each line. The evaluation set consists of 30,000 lines that are not included in training data. We first evaluate how accurate the control con- ditions can be ...

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Gaussian semiparametric estimation of multivariate fractionally integrated processes

Gaussian semiparametric estimation of multivariate fractionally integrated processes

... This paper analyzes the semiparametric estimation of multivariate long-range dependent processes. The class of spectral densities considered includes multi- variate fractionally integrated processes, which are not ...

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Matched wavelet construction and its application to target detection

Matched wavelet construction and its application to target detection

... Ill for the Wavelet Radon Transform 112 of a rectangular object of rectangle Ill image at 8 equally of rectangle spaced angular image using the D4 intervals 113 wavelet 114 7.10 Training[r] ...

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Pilot Reference Material Sim 6

Pilot Reference Material Sim 6

... recurrent training element of Cyclic 5 proved valuable with a lot of feedback from crews and checking staff alike as to the benefits of this ...the training element of Cyclic 6 contains a Line Orientated ...

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Spaced out: “Territoriality” in the Fourth Gospel

Spaced out: “Territoriality” in the Fourth Gospel

... 632 HTS 58(2) 2002 Spaced out “Territoriality” in the Fourth Gospel Jerome H Neyrey 1 University of Notre Dame, USA Research Associate Department of New Testament Studies University of Pretoria Abstra[.] ...

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Gaussian Semiparametric Estimation of Multivariate Fractionally Integrated Processes

Gaussian Semiparametric Estimation of Multivariate Fractionally Integrated Processes

... multivariate fractionally integrated processes and is general enough to accommodate the presence of poles and zeros at frequencies away from the origin (Phillips and Shimotsu, 2004, provide an example of the ...

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Naturalistic Driver Intention and Path Prediction using Machine Learning

Naturalistic Driver Intention and Path Prediction using Machine Learning

... into training and test sets such that the dataset used for algorithm validation is completely separate from the dataset used in ...for training and test, this leaves only a handful of samples in the test ...

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