The ECG finds its importance in the detection of cardiac abnormalities. ECG signal processing in an embedded platform is a challenge which has to deal with several issues. Noise reduction in ECG signal is an important task of biomedical science. ECG signals are very low frequency signals of about 0.5Hz100Hz. There are various artifacts which get added in these signals and change the original si...

Image compression is the significant research area in the field of image processing. The Transform selection in image compression has played a vital role since the size of the resultant compressed image should be reduced in comparison with the original image. Numerous image compression standards based on Wavelet Transform have been devoted in the literature but still there exist scope of yieldi...

This paper proposes a speech signal enhancement method in which the wavelet transform scales and thresholds both are adaptive depending on the input noisy signal affected by Additive White Gaussian Noise (AWGN). The proposed Estimated Noise and Adaptive Threshold Bionic Wavelet Transform (ENAT-BWT) method analyses the incoming noisy speech signal at 22 scales, from 7 to 28, of the BWT for negat...

HMCM-22 with a Si:Al molar ratio of 15:1 has been shown to effectively catalyze the synthesis of acetals with 100% selectivity by the reaction of aldehydes with methanol under reflux conditions. Platelet HMCM-22 particles were prepared by the static strategy and characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), BET tech...

Face Biometrics is a science of automatically identifying individuals based on their unique facial features. The paper presents neural network classifier(Radial Basis Function Network) to detect frontal views of faces. The curvelet transform, Linear Discriminant Analysis(LDA) are used to extract features from facial images first, and Radial Basis Function Network(RBFN) is used to classify the f...

An approach for three robust and semi-blind digital video watermarking algorithms has been proposed in this paper. These algorithms are based on hybrid transforms using the combination of Discrete Cosine Transform and Singular Value Decomposition (DCTSVD), Discrete Wavelet Transform and Singular Value Decomposition (DWT-SVD) and Discrete Wavelet Transform, Discrete Cosine Transform and Singular...

An orthogonal 16-point approximate discrete cosine transform (DCT) is introduced. The proposed transform requires neither multiplications nor bit-shifting operations. A fast algorithm based on matrix factorization is introduced, requiring only 44 additions—the lowest arithmetic cost in literature. To assess the introduced transform, computational complexity, similarity with the exact DCT, and c...

--The paper presents the lossless image compression based on prediction and contourlet transform methods in image processing. The lossless compression usually a less bandwidth or less memory and low compression ratio at the cost of image quality degradation. In the paper presents prediction and Contourlet transform methods are used. In prediction method, convert the color image to YVU and then ...

objective: biodegradable polycaprolactone/starch composites can be used for bone tissue engineering applications. the effect of the ratio of components on composite properties is of tremendous importance. methods: polycaprolactone/starch composite of 80/20 and 70/30 ratios were fabricated by dissolving them in chloroform followed by evaporation of the solvent. results: the composites were chara...

A major drawback of orthogonal frequency-division multiplexing (OFDM) signals is their high peak-to-average power ratio (PAPR), which causes serious degradation in performance when a nonlinear power amplifier (PA) is used. Companding transform is a well-known method to reduce PAPR without restrictions on system parameters such as number of subcarriers, frame format and constellation type. Recen...