In a classification task, the imbalance class problem is present when the data-set has a very different distribution of examples among their classes. The main handicap of this type of problem is that standard learning algorithms consider a balanced training set and this supposes a bias towards the majority classes. In order to provide a correct identification of the different classes of the pro...

Class imbalance occurs when the distribution of classes between majority and minority is not same. The data on imbalanced may vary from mild to severe. effect high-class affect overall classification accuracy since model most likely predict that fall within class. Such a will give biased results, performance predictions for class often have no impact model. use oversampling technique one way de...

In wireless channel the noise has a zero mean. This channel property can be used in the enhancement of the noise performance in the digital receivers by oversampling the received signal and calculating the decision variable based on the time average of more than one sample of the received signal. The averaging process will reduce the effect of the noise in the decision variable that will approa...

Subband adaptive "ltering, which is the basis of modern acoustic echo cancellation (AEC) systems, is an important application of "lter banks in which critical sampling cannot be used in general because of decimation aliasing e!ects. This leads to the use of oversampling schemes in the "lter bank design wherein the perfect-reconstruction (PR) or near PR property is still required. In this work, ...

An oversampling, noise-shaping digital-to-analog converter architecture is designed and implemented in a Xilinx Spartan-II FieldProgrammable Gate Array. The system uses 128-times and 256-times oversampling and has zero-, first-, and second-order noise shapers which may be selected by the end user in real-time. 1-bit DAC output is passed through a 4-pole analog Butterworth filter. Particular emp...

Bidikmisi is tuition assistance from the government for high school graduates (SMA) or equivalent who have good academic potential but economic limitations. Different scholarships that focus on providing awards financial support to those excel. The achievement requirements are aimed at ensuring recipients selected truly and willingness complete higher education. Given of this bidikmisi must rea...

Data imbalance is known to significantly hinder the generalization performance of supervised learning algorithms. A common strategy to overcome this challenge is synthetic oversampling, where synthetic minority class examples are generated to balance the distribution between the examples of the majority and minority classes. We present a novel adaptive oversampling algorithm, VIRTUAL, that comb...

The problem of how an oversampling of translations affects the bounds of an affine frame has been proposed by Chui and Shi. In particular, they proved that tightness is preserved if the oversampling factor is coprime with the dilation factor. In this paper we study, in the dyadic dilation case, oversampling of translation by factors which do not satisfy the above condition, and prove that tight...

The fields of antibody engineering, enzyme optimization and pathway construction rely increasingly on screening complex variant DNA libraries. These highly diverse libraries allow researchers to sample a maximized sequence space; and therefore, more rapidly identify proteins with significantly improved activity. The current state of the art in synthetic biology allows for libraries with billion...