In this paper, a wavelet based methodology is presented for compression of electrocardiogram (ECG) signal. The methodology employs new wavelet filters whose coefficients are derived with beta function and its derivatives. A comparative study of performance of different existing wavelet filters and the Beta wavelet filters is made in terms of compression ratio (CR), percent root mean square diff...

Modelling of patient knee joint from the MRI data and simulating its kinematics is presented. A flexion of the femur with respect to the tibia from 0◦ to around 40◦ is simulated. The finite element knee model is driven by compressive load measured ‘in vivo’ during MRI process by using specially developed optical force measurement system. Predicted kinematics is evaluated against the high-qualit...

An analysis of two LMS-Newton adaptive filtering algorithms with variable convergence factor is presented. The relations of these algorithms with the conventional recursive least-squares algorithm are first addressed. Their performance in stationary and nonstationary environments is then studied and closed-form formulas for the excess mean-square error (MSE) are derived. The paper deals, in add...

This paper presents a comparative performance study between the recently proposed time-varying LMS (TVLMS) algorithm and other two main adaptive approaches: the least-mean square (LMS) algorithm and the recursive leastsquares (RLS) algorithm. Three performance criteria are utilized in this study: the algorithm execution time, the minimum meansquared error (MSE), and the required filter order. T...

This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally, for modification of the mask, we...

A registration method of remotely sensed image data which is base on the wavelet transform is proposed. The shape information of the regions in the images is analyzed by the Haar and Daubechies’wavelets. Comparing the coefficients of the wavelets and minimizing the mean square error (MSE) which is defined by the coefficients, the regions are matched and the images are registered. Affine transfo...

Visual Cryptography is a technique used to protect image based secrets. This paper presents a colour extended visual cryptographic system based on Gaussian error diffusion, which results in good quality of shares and improved security. Gaussian error diffusion is applied by choosing an enumeration of pixels and the quantization error is computed. Other computations are made on the basis of thre...

In this paper, a variable step size based least mean squares (LMS) channel estimation (CE) algorithm is presented for a single carrier frequency division multiple access (SC-FDMA) system under the umbrella of the long term evolution (LTE). This unbiased CE method can automatically adapt the weighting coefficients on the channel condition. Therefore, it does not require knowledge of channel, and...

Sigma–delta modulation, a widely used method of analog-to-digital (A/D) signal conversion, is known to be robust to hardware imperfections, i.e., bit streams generated by slightly imprecise hardware components can be decoded comparably well. We formulate a model for robustness and give a rigorous analysis for single-loop sigma–delta modulation applied to constant signals (dc inputs) for time cy...

In this correspondence, a least mean squares (LMS)-based algorithm is devised for unbiased system identification in the presence of white input and output noise, assuming that the ratio of the noise powers is known. The proposed approach aims to minimize the mean square value of the equation-error function under a constant-norm constraint and is equivalent to minimizing a modified mean square e...