For demand of high data rates, enhanced system capacity and coverage, ITU made proposal for the standardization of next generation wireless communication systems, known as IMTAdvanced. To achieve these targets, a priori knowledge of the channel is required at the transmitter side. In this paper, three adaptive channel estimation techniques: Least Mean Square (LMS), Recursive Least Square (RLS) ...

In this paper, we present the steady state analysis of adaptive IIR notch filters based on the least mean -power error criterion. We consider the cases when the sinusoidal signal is contaminated with white Gaussian noise and . We first derive two difference equations for the convergence of the mean and the Mean Square Error (MSE) of the adaptive filter’s notch coefficient, and then give the ste...

We consider a single cell single input multiple output (SIMO) system employing orthogonal frequency division multiplexing (OFDM). In such systems, setting the pilot-to-data power ratio (PDPR) has a large impact on the spectral and energy efficiency. In this paper we provide a closed form solution for the mean square error (MSE) of the received data as a function of the PDPR assuming Gaussian ch...

In this paper a 4 x 4 Daubechies transform based authentication technique termed as SADT has been proposed to authenticate gray scale images. The cover image is transformed into the frequency domain using 4 x 4 mask in a row major order using Daubechies transform technique, resulting four frequency subbands AF, HF, VF and DF. One byte of every band in a mask is embedding with two/four bits of s...

The medical field along with computer field grows in a rapid manner. In telemedicine and telediagnosis authentication of medical images are very important to the patient ,doctor and Insurance company. The youngsters are also keen in knowing about the treatment methods and procedures. But no one likes to tell about the disease in open hall. So there is always an urge for watermarking of medical ...

NON-UNIFORM SUBBAND ADAPTIVE FILTERS Jacob D. Griesbach, Michael Lightner, and Delores M. Etter Department of Electrical and Computer Engineering University of Colorado Boulder, CO 80309 [email protected], [email protected], [email protected] ABSTRACT Minimum mean square error estimators have been developed for non-uniform subband adaptive filters (SAFs) in system modeling configuratio...

Adaptive training of neural networks is typically done using some stochastic gradient algorithm that aims to minimize the mean square error (MSE). For many classification applications, such as channel equalization and codedivision multiple-access (CDMA) multiuser detection, the goal is to minimize the error probability. For these applications, adopting the MSE criterion may lead to a poor perfo...

An order-restricted (OR) statistical model can be expressed in the general form {Pθ | θ ∈ C}, where C is a convex cone in R. In general, no unbiased estimator exists for θ. In particular, the OR maximum likelihood estimator (ORMLE) is biased, although its aggregate mean square error is usually less than that of the unrestricted MLE (URMLE). Nonetheless, the bias and mean-square error (MSE) of a...

An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images can be tuned using two filtering parameters. We propose an automatic setting to select these parameters based on estimated mean square error (MSE) minimi...

In this earlier multimedia scenario, the various disputes are the optimized use of storage space and also bandwidth. In order to shrink the storage space of pictures and transmission of information with customize limited bandwidth availability, Image compression plays a crucial role by retreating the size of image and to exploit the bandwidth in economical and valuable manner without demeaning ...