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Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Issue 4 • Date Apr 1993

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Displaying Results 1 - 5 of 5
  • On the regular structure for the fast 2-D DCT algorithm

    Publication Year: 1993 , Page(s): 259 - 266
    Cited by:  Papers (15)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (484 KB)  

    N. I. Cho and S. U. Lee (1991) proposed a fast algorithm for 2-D N×N DCT, where N=2m. It requires only half the number of multiplications of the conventional row-column approach. However, the signal flow graph for the postaddition stage seems very complicated and the order of the output index is seemingly irregular, because the postaddition stage was not based on the mathematical expressions. Consequently, derivation of the signal flow graph becomes complicated as the transform size increases. Systematic expressions for the postaddition stage of the algorithm that enable any N×N DCT to be implemented in a straightforward manner are provided here. The results show that the signal flow graph from input to output has a recursive structure in which the structure for smaller N reappears for larger N. However, the number of additions increases in the new signal flow graph at the expense of improving the regularity in the structure View full abstract»

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  • Image halftoning with cellular neural networks

    Publication Year: 1993 , Page(s): 267 - 283
    Cited by:  Papers (38)  |  Patents (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1552 KB)  

    The feasibility of using neural networks in a practical halftoning application is considered. The cellular neural network (CNN) architecture is chosen for its proven implementability in VLSI and high-speed operation. Since both the CNN and halftoning have a geometrically local character, the CNN provides a natural implementation. The CNN template weights are derived by analogy to the well-known error diffusion algorithm for halftoning. Some limitations of the neural network approach are analyzed, providing an advance in designing template weights over previous methods. These limitations are shown to be especially critical in the case of the small interconnection neighbourhoods needed for efficient implementation. The design criteria are validated by direct simulation. The resulting halftones are shown to be more faithful reproductions of the original than those produced by the error diffusion algorithm. It is suggested that a CNN with optical inputs could provide a high-speed scanner/halftoner for applications such as facsimile View full abstract»

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  • Design and analysis of delta-sigma based IIR filters

    Publication Year: 1993 , Page(s): 233 - 240
    Cited by:  Papers (34)  |  Patents (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (684 KB)  

    Design techniques for IIR filters operating on oversampled delta-sigma (ΔΣ) modulated signals are presented. It is shown that ΔΣ-based IIR filters can be efficiently realized by eliminating all multibit multipliers through the use of remodulating internal filter states. Noise results are presented showing that linear noise analysis gives excellent predictions of the noise performance over the frequency band of interest. It is also shown that latency and computational complexity can be reduced in some VLSI applications where digital representations of analog signals exist using oversampled ΔΣ converters View full abstract»

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  • Algebraic necessary and sufficient conditions for the stability of 2-D discrete systems

    Publication Year: 1993 , Page(s): 251 - 258
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (504 KB)  

    Algebraic necessary and sufficient conditions for the stability analysis of 2-D discrete systems are presented. These conditions are based on the frequency-dependent formulation of the Lyapunov equation using Kronecker products. It is shown that these conditions for internal stability of 2-D discrete systems are equivalent to testing the eigenvalues of constant matrices only View full abstract»

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  • 2-D recursive bilinear model for nonlinear signal representation

    Publication Year: 1993 , Page(s): 241 - 250
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (764 KB)  

    Develops 2-D recursive bilinear models for quarter-plane and weakly causal random fields. These models are obtained as a nontrivial generalization to two dimensions of the 1-D bilinear time series and satisfy a 2-D bilinear recursion where the coefficients lie on a causality cone. The extended support of the coefficients results in greater model flexibility. An efficient maximum-likelihood estimation method for order determination and parameter estimation has been obtained. Computer simulations are included to illustrate this model and the performance of the parameter estimation technique View full abstract»

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Aims & Scope

This title ceased production in 2003. The current updated title is IEEE Transactions on Circuits and Systems II: Express Briefs.

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