This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. In the proposed VSS-NSAF, the step-size changes in order to have largest decrease in the mean square deviation (MSD) for sequential iterations. To reduce the computational complexity of VSS-NSAF, the variable step-size selective partial update normalized subband adaptive filter (VSS-SPU-NSAF) i...

This paper is based on the magnitude overestimation correction of the variable message by using two normalized factors in each iteration for LDPC min-sum decoding algorithm. The variable message is modified with a normalized factor when there is a sign change and with another normalized factor when there is no sign change during any two consecutive iterations. This paper incorporates QC LDPC co...

Influence diagrams are probabilistic graphical models used to represent and solve decision problems under uncertainty. Sharp numerical values are required to quantify probabilities and utilities. Yet, real models are based on data streams provided by partially reliable sensors or experts. We propose an interval-valued quantification of these parameters to gain realism in the modelling and to an...

2. A SMIDGEON ABOUT PROBABILITY AND EVENTS Wisdom ofttimes consists of knowing what to do next. – Herbert Hoover DEFINITIONS Experiment – any action or process that generates observations (e.g. flipping a coin) Trial – a single instance of an experiment (one flip of the coin) Outcome – the observation resulting from a trial (“heads”) Sample Space – the set of all possible outcomes of an experim...

We consider the problem of testing whether two variables should be adjacent (either due to a direct effect between them, or due to a hidden common cause) given an observational distribution, and a set of causal assumptions encoded as a causal diagram. In other words, given a set of edges in the diagram known to be true, we are interested in testing whether another edge ought to be in the diagra...

We present a set of interactive techniques for the visual analysis of multi-dimensional categorical data. Our approach is based on multiple correspondence analysis (MCA), which allows one to analyse relationships, patterns, trends and outliers among dependent categorical variables. We use MCA as a dimensionality reduction technique to project both observations and their attributes in the same 2...