A theoretical analysis of the overall mean squared error (MSE) in hybrid video coding is presented for the case of error prone transmission. The derived model for interframe error propagation includes the eeects of INTRA coding and spatial loop ltering and corresponds to simulation results very accurately. For a given target bit rate, only four parameters are necessary to describe the overall d...

The objective of this paper is to implement and evaluate the effectiveness of scaling functions and wavelet transformations in the field of image compression and decompression. The performance parameters like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), and Compression Ratio(CR),SNR(Signal to Noise Ratio) are calculated based on the Matlab source code. The implemented model prov...

abstract assessing moisture in the soil under cultivation of crops to achieve high performance and reduced water are necessary. knowledge of the moisture distribution in the root zone, time consuming and costly field tests that simulation models, a suitable alternative in answer to issues of movement and are water distribution. in this study assessment of soil moisture, to aid swap simulation m...

<p><span lang="EN-US">The oxygen content of the gas-fired boiler flue gas is used to monitor combustion efficiency. Conventionally, this measured using an sensor. However, because it operates in extreme conditions, sensor tends have disadvantage high maintenance costs. In addition, absence other sensors as element redundancy and when there damage causes manual handling by workers. I...

This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one–bit randomized scalar quantizers in the presence of additive observation noise of unknown distribution. A constructive quantization, coding, and field reconstruction scheme is developed and an upper–bound to the associated mean squared error (MSE) at any point and any snapshot...

In multiple regression analysis, the independent variables should be uncorrelated within each other. If they are highly intercorrelated, this serious problem is called multicollinearity. There are several methods to get rid of this problem and one of the most famous one is the ridge regression. In this paper, we will propose some modified ridge parameters. We will compare our estimators with so...

= Abstract = The accuracy of Bayesian feedback method for predicting phenytoin dosage was assessed and compared to conventional predictive methods such as the Richens & Dunlop method and Ludden method from 5 7 patients who took phenytoin for the treatment of grandma1 epilepsy. For the comparison of absolute predictability of each method, correlation coefficient between predicted and actual dosa...