Generation of Binary Patterns with Given Spatiotemporal Correlations
نویسندگان
چکیده
Consideration of signal correlations and the choice of input patterns have a significant impact on the results of power estimation for digital CMOS circuits. The pattern analysis and generation method presented in this paper provides a link between probabilistic and explicit simulation techniques. Analysing sample data yields a set of signal probabilities and spatiotemporal correlations. Vice versa, binary pattern sequences can be generated meeting given statistical properties. Furthermore, the tool may be utilized to reduce the amount of stimuli to be applied in explicit simulation while maintaining the properties which are relevant to power dissipation.
منابع مشابه
Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process.
Experimental advances allowing for the simultaneous recording of activity at multiple sites have significantly increased our understanding of the spatiotemporal patterns in neural activity. The impact of such patterns on neural coding is a fundamental question in neuroscience. The simulation of spike trains with predetermined activity patterns is therefore an important ingredient in the study o...
متن کاملInnovative Methodology Generation of Spatiotemporally Correlated Spike Trains and Local Field Potentials Using a Multivariate Autoregressive Process
Gutnisky DA, Josić K. Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process. J Neurophysiol 103: 2912–2930, 2010. First published December 23, 2009; doi:10.1152/jn.00518.2009. Experimental advances allowing for the simultaneous recording of activity at multiple sites have significantly increased our understanding of the spa...
متن کاملExperimental Investigation in Pool Boiling Heat Transfer of Pure/Binary Mixtures and Heat Transfer Correlations
Nucleate pool boiling heat transfer coefficient have been experimentally measured on a horizontal rod heater for various liquid binary mixtures. Measurements are based on more than three hundred data points on a wide range of concentrations and heat fluxes. In this investigation, it has been confirmed that the heat transfer coefficient in boiling solutions are regularly less than those in p...
متن کاملPrediction of spatiotemporal patterns of neural activity from pairwise correlations.
We designed a model-based analysis to predict the occurrence of population patterns in distributed spiking activity. Using a maximum entropy principle with a Markovian assumption, we obtain a model that accounts for both spatial and temporal pairwise correlations among neurons. This model is tested on data generated with a Glauber spin-glass system and is shown to correctly predict the occurren...
متن کاملBoosted multi-resolution spatiotemporal descriptors for facial expression recognition
Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-TOP) was proposed for describing and recognizing dynamic textures and applied to facial expression recognition. In this paper, we extend the LBP-TOP features to multi-resolution spatiotemporal space and use them for describing facial expressions. AdaBoost is utilized to learn the principal appearance and ...
متن کامل