<![CDATA[ Vision, Image and Signal Processing, IEE Proceedings - - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 2200 2008January 14<![CDATA[RAPID PROTOTYPING - Area efficient FIR filters for high speed FPGA implementation]]>1536711720279<![CDATA[RAPID PROTOTYPING - Framework for FPGA-based discrete biorthogonal wavelet transforms implementation]]>1536721734750<![CDATA[RAPID PROTOTYPING - Effective correlation vector quantisation algorithm and its VLSI architecture]]>1536735738306<![CDATA[RAPID PROTOTYPING - Field programmable gate array based parallel matrix multiplier for 3D affine transformations]]>1536739746586<![CDATA[RAPID PROTOTYPING - Re-scalable V-BLAST MIMO system for FPGA]]>1536747753169<![CDATA[Speaker identification based on adaptive discriminative vector quantisation]]>1536754760162<![CDATA[Efficient algebraic code-excited linear predictive codebook search]]>1536761768378<![CDATA[H/sub /spl infin// mode reduction for two-dimensional discrete state-delayed systems]]>infin model reduction for two-dimensional (2-D) discrete systems with delay in state is considered. The mathematical model of 2-D systems is established on the basis of the well-known Fornasini-Marchesini local state-space. First, conditions are established to guarantee the asymptotic stability and a prescribed noise attenuation level in the H_{infin} sense for the underlying system. For a given stable system, attention is focused on the construction of a reduced-order model, which approximates the original system well in an H_{infin} norm sense. Sufficient conditions are proposed for the existence of admissible reduced-order solutions. Since these obtained conditions are not expressed as strict linear matrix inequalities (LMIs), the cone complementary linearisation method is exploited to cast them into sequential minimisation problems subject to LMI constraints, which can be readily solved using standard numerical software. These obtained results are further extended to more general cases whose system states contain multiple delays. Two numerical examples are provided to demonstrate the effectiveness of the proposed techniques]]>1536769784715<![CDATA[Interpolation capability of the periodic radial basis function network]]>1536785794381<![CDATA[Frequency tracking techniques of power systems in coloured noises]]>1536795804238<![CDATA[Modified back-propagation algorithm applied to decision-feedback equalisation]]>1536805809439<![CDATA[Adaptive blind channel equalisation in chaotic communications by using nonlinear prediction technique]]>1536810814329<![CDATA[Accelerating rotation of high-resolution images]]>1536815824490<![CDATA[Image restoration using truncated SVD filter bank based on an energy criterion]]>1536825836523<![CDATA[Survey and comparative analysis of entropy and relative entropy thresholding techniques]]>15368378501021<![CDATA[Advantages of multiscale product filters for dynamic range compression in images]]>15368518591948<![CDATA[Scalable phase extraction methods for phase plane motion estimation]]>1536860868351<![CDATA[Subpixel motion computing architecture]]>1536869880973<![CDATA[Combined thresholding and neural network approach for vein pattern extraction from leaf images]]>15368818921693