This paper proposes a new regularized transform domain normalized LMS (R-TDNLMS) algorithm and studies its mean and mean square convergence performances. The proposed algorithm extends the conventional TDNLMS algorithm by imposing a regularization term on the filter coefficients to reduce the variance of estimators due to the lacking of excitation in a certain frequency band or in the presence ...

Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE) approach, and the famous least mean square algorithm with its low computational complexity readily meets the fast real-time computational const...

Quality of Service (QoS) is the important criteria in the video processing in H.264/AVC Bit-streams. In this paper, the encryption based bit streams transmitted to improve the security of the bit streams. So the proposed system mainly considered reduction of the de-blocking filter effect in the Mean Square Estimation (MSE). The Correlation Motion (CM) based MSE estimation method derives elabora...

This paper theoretically analyzes the Mean Square Error (MSE) on the steady-state frequency estimation realized by the all-pass-based adaptive notch filtering algorithms with the normalized lattice structure. The adaptive algorithms to be considered are the Simplified Lattice Algorithm (SLA) proposed by Regalia and the Affine Combination Lattice Algorithm (ACLA) proposed by the authors. For the...

The issue of channel estimation is investigated for the UHF MIMO-RFID systems over pinhole channel. A training sequences aided linear minimum mean square error (LMMSE) channel estimation is proposed for the whole pinhole channel at the reader. Based on the mean square error (MSE) criterion, the MSE bound and the optimal training scheme with this bound are derived. By exploiting the optimal trai...

In this paper, Wavelet Transform, Fractional Fourier Transform (FrFT) and Fractional Cosine Transform (FrCT) are compared using Mean Square Error (MSE) and Peak signal-toNoise Ratio (PSNR) in the field of image compression. Wavelet provides better MSE and PSNR at lower Compression Ratio (CR), whereas FrFT provides good result at higher CR and FrCT provides same results as that of Wavelet at hig...

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 view of the massive parallel architecture and generalization ability of neural networks to remember the inputs for untrained data, the computational simplicity of wavelets, ability of Differential Pulse Code Modulation (DPCM) to reduce the redundancy in the information, an effective hybrid image compression system combining the advantages of wavelets, artificial neural networks and DPCM is i...

A recently proposed optimal Bayesian classification paradigm addresses optimal error rate analysis for small-sample discrimination, including optimal classifiers, optimal error estimators, and error estimation analysis tools with respect to the probability of misclassification under binary classes. Here, we address multi-class problems and optimal expected risk with respect to a given risk func...

Estimation problems with bounded, uniformly distributed noise arise naturally in reconstruction problems from over complete linear expansions with subtractive dithered quantization. We present a simple recursive algorithm for such bounded-noise estimation problems. The mean-square error (MSE) of the algorithm is “almost” (1 ), where is the number of samples. This rate is faster than the (1 ) MS...