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In IEEE 802.16 BWA systems, the mandatory method of contention resolution is based on Truncated Binary Exponential Backoff (TBEB), with the initial backoff-window and the maximum backoff-window controlled by the BS. The values for these window parameters are announced by the BS in the Uplink Channel Descriptor (UCD) message. However, the specification has not mentioned the way to choose the optimal...
This paper presents a new video compression technique which is based on adaptive vector quantization of multiwavelet coefficients. Three types of redundancies that are common in video sequences are spatial, temporal and psycho visual redundancies. In this work, the spatial redundancy is minimized using multiwavelet transform, temporal redundancy is minimized using Kite Cross Diamond Search motion...
This paper presents a new idea of best basis selection through singular value decomposition. Wavelet and Wavelet Packet Transform are efficient tools to represent the image. Wavelet Packet Transform is a generalization of wavelet transform which is more adaptive than the wavelet transform because it offers a rich library of bases from which the best one can be chosen for a certain class of images...
Optimum design of switched reluctance motor (SRM) and it control circuits require a knowledge of its parameters, Such as inductance, flux linkage and Torque. In this paper, a model of SRM has been developed and analysed with ANSYS Workbench. The variation of Inductance, flux density and directional force with respect to rotor position for two different stator pole shapes has been analysed. It is observed...
This paper presents a new image coding technique using adaptive wavelet packet and multistage vector quantization. Wavelet packets are generalization of wavelet transform, capable of providing arbitrary frequency resolution to meet signal's spectral behavior. Image properties, filter and cost function are the three prime factors which are commonly used to select wavelet packet basis. In this paper,...
This paper presents a new image compression technique for the coding of retinal images. Retinal images are used to detect diseases like diabetes or hypertension. In this work, the contourlet transform of the retinal image is taken first. The coefficients of the contourlet transform are quantized using adaptive multistage vector quantization scheme. The number of code vectors in the adaptive vector...
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