In order to quantify the performance of our intrinsic image extraction method, we need an error metric for estimating the difference between output and ground truth images. This error metric should represent the degree of visual similarity between the estimated and the ground truth image. The appearance of an image is mainly determined by the contrast between pixels, not intensity values. There...

This paper analyses three algorithms recently studied in the Computational Learning Theory community: the Gradient Descent (GD) Algorithm, the Exponentiated Gradient Algorithm with Positive and Negative weights (EG algorithm) and the Exponentiated Gradient Algorithm with Unnormalised Positive and Negative weights (EGU algorithm). The analysis is of the form used in the signal processing communi...

This paper concerns the use of feedforward neural networks (FNN) for predicting the nondimensional velocity of the gas that flows along a porous wall. The numerical solution of partial differential equations that govern the fluid flow is applied for training and testing the FNN. The equations were solved using finite differences method by writing a FORTRAN code. The Levenberg–Marquardt algorith...

In this paper, a modified estimation algorithm has been developed refers to Covariance Shaping Least Square (CSLS) estimation based on the quantum mechanical concepts and constraints. The algorithm has been applied to Auto Regressive Moving Average (ARMA models with various parameter values. The same models can be applied with Colored Noise which estimates the bias in the parameter and the vali...

This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral Filter(MBF), Joint Bilateral Filter(JBF), Fuzzy Bilateral Filter(FBF) and Switching Bilateral Filter(SBF). For comparison purpose various performance matrices such as: Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE), Mean Absolute Error(MAE), Normalized Color Difference(NCD), Perceptual Qualit...

We establish a simple relation between high diversity multidimensional rotations obtained from totally complex cyclotomic elds and the discrete Fourier transform. The diversity distribution of an Hadamard-like random rotation is derived analytically. It is shown that a random multidimensional rotation exhibits an excellent diversity distribution and can be combined to QAM constellations to comb...

This paper presents an improved robust method for timing offset estimation in preamble-aided OFDM system. The proposed method is aimed to provide low complexity, high performance timing estimator under the high frequency offset conditions. It uses a modified preamble structure and utilizes double autocorrelation technique to achieve robust timing estimation performance with only moderate increa...

A method for the rapid design of field programmable gate array (FPGA)-based discrete cosine transform (DCT) approximations is presented that can be used to control the coding gain, mean square error (MSE), quantization noise, hardware cost, and power consumption by optimizing the coefficient values and datapath wordlengths. Previous DCT design methods can only control the quality of the DCT app...

This paper investigates connections between (nonblind) Wiener receivers and blind receivers designed by minimizing the constant modulus (CM) cost. Applicable to both T-spaced and fractionally spaced FIR equalization, the main results include 1) a test for the existence of CM local minima near Wiener receivers; 2) an analytical description of CM receivers in the neighborhood of Wiener receivers;...