A novel electronically tunable single-input three-output (SITO) universal filter employing three current controlled conveyors and two grounded capacitors is presented. The proposed filter offers the following advantageous features: low input impedance and high output impedance- a desirable property of current mode filters, realization of low pass, band pass, high pass, notch and all pass signals from the same configuration, no matching constraint, low sensitivity performance and use of grounded capacitors ideal for integration. The validity of the proposed filter is verified through PSPICE simulations.
The encoding of vector quantization (VQ) needs expensive computation for searching the closet codeword to the input vectors. In order to reduce computational burden, many researchers have developed some efficient full-search-equivalent algorithm by using the characteristics of the means and variances of a vector. However, some computational redundancies still exist in them. In this paper, we introduce a technique to efficiently partition a vector into two dynamic subvectors according to the patterns inside the block (or vector) and then further improve the computational load. Experimental results show that the proposed method provides a higher codeword searching efficiency than other existing algorithms.
This paper presents a compact cluster computer, called “UCC (Ubiquitous Computing Cluster)”, which provides a cost-effective prototyping environment for design and test of ubiquitous computing applications. We achieve extremely small size, low power consumption and low cost by employing COTS (Commercial Off-The-Shelf) embedded CPUs. We also present an application of UCC to fingerprint verification using phase-based image matching and its performance analysis. Our experimental observation shows that the cluster is useful for prototyping practical application programs targeted at network-connected embedded CPUs.