This paper develops low-complexity adaptive receivers for space-time block-coded (STBC) transmissions over frequency-selective fading channels. The receivers are useful for equalization purposes for single user transmissions and for joint equalization and interference cancellation for multiuser transmissions. The receivers exploit the rich code structure of STBC codes in order to deliver recurs...

This study is about the development of a robust ridge regression estimator. It is based on weighted ridge MM-estimator (WRMM) and is believed to have potentials in remedying the problems of multicollinearity. The proposed method has been compared with several existing estimators, namely ordinary least squares (OLS), robust regression based on MM estimator, ridge regression (RIDGE), weighted rid...

In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this Letter, it is proved that bias removal can be achieved by proper scaling the optimal lter coeecients and a modiied least mean squares (LMS) algorithm is then developed for accurate system identiication in noise. Simulation results show that the proposed method outperforms two total leas...

Robust regression methods have advantages over classical least-squares (LS) regression if the strict model assumptions used for LS regression are violated. We briefly review LMS and LTS regression as robust alternatives to LS regression, and illustrate their advantages. Furthermore, it is demonstrated how robust regression can be used if the response variable contains relative rather than absol...

Tone mapping is used to compress the dynamic range of image data without distortion. To HDR images and prevent halo artifacts, a tone method proposed based on least squares method. Our first uses weights for estimation illumination, detail layer obtained by Retinex model. Then, global function with parameter range, fitting histogram equalization. Finally, illumination are fused obtain LDR image...

ObjectiveHeart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various motion artifacts. The objective is to develop algorithms to reduce the effect of motion artifacts and thus obtain accurate heart rate estimation. MethodsPropos...

In this work, we study the problem of online adaptive forecasting for locally stationary Time Varying Autoregressive processes (TVAR). The Normalized Mean Least Squares algorithm (NMLS) is an online stochastic gradient method which has been shown to perform efficiently, provided that the gradient step size is well chosen. This choice highly depends on the smoothness exponent of the evolving par...

least squares method (lsm) is an accurate and rapid method for solving some analytical andnumerical problems. this method can be used to estimate the average reservoir pressure in well testanalysis. in fact, it may be employed to estimate parameters such as permeability (k) and porevolume (vp). regarding this point, buildup, drawdown, late transient test data, modified muskatmethod, interferenc...

AbslrabTwo gradient descent adaptive algorithms are compared, the LMS algorithm and the LMSNewton algorithm. LMS is simple and practical, and is used in many applications worldwide. LMWewton is based on Newton's method and the LMS algorithm. LMSiNewton is optimal in the least squares sense. It maximizes the quality of its adaptive solution while minimizing the use of training dah. No other line...

Rubrics are being used in a wide variety of disciplines in higher education to evaluate the assessments and provide feedback to students. Rubrics are traditionally implemented as paper-based table to grade assessments and provide feedback. The advancement of technology has integrated the Rubric Tool into Learning Management Systems (LMS) like Blackboard to facilitate online marking. In this con...