We propose a design method for a two-channel perfect reconstruction FIR filter banks employing linear-phase filters. This type of filter bank is especially important in splitting image signals into frequency bands for subband image cording. Because in such an application, it is necessary to use the combination of linear-phase filters and symmetric image signal, namely linear phase signal to avoid the increase in image size caused by filtering. In this paper, first we summarize the design conditions for two-channel filter banks. Next, we show that the design problem is reduced to a very simple linear equation, by using a half-band filter as a lowpass filter. Also the proposed method is available to lead filters with fewer complexity, which enable us to use simple arithmetic operations. For subband coding, the property is important because it reduces hardware complexity.

The authors recently proposed a design method of stable IIR digital filters based on the interpolation by rational characteristic functions of filters, for a set of values of these characteristic function and, in addition, their higher derivatives prescribed at a number of frequency. This method can be further extended so that, despite usage of a less number of interpolation points, almost the same filter characteristics as one obtained by the former method can be realized. This paper presents an improved design method for making the transfer function meet strict magnitude specifications. The method proposed in this paper is especially efficient for designing a filter whose characteristics is specified not only in the passband but also in the transition band with relatively narrow bandwidth.

This paper presents an optimal constraint graph generation algorithm for graph-based one-dimensional layout compaction. The first published algorithm for this problem was the shadow-propagation algorithm. However, without sophisticated implementation of a shadow-front, complexity of the algorithm could fall into O(n2), where n is the number of layout objects. Although our algorithm, called the enhanced plane-sweep based graph generation algorithm, is an extension of the shadow-propagation algorithm, such a drawback is resolved by introducing an enhanced plane-sweep technique. The algorithm maintains multiple shadow-fronts simultaneously by storing them in a work-list called previous-boundary. Since a balanced search tree is selected for implementation of the worklist, total complexity of the algorithm is O(n log n) which is optimal. Experimental results show that the enhanced plane-sweep based graph generation algorithm runs in almost linear time with respect to the number of layout objects and is faster than the perpendicular plane-sweep algorithm which is also optimal in terms of time complexity.

This letter extends the overfitting lattice filter for ARMA parameter estimation with additive noise proposed by Sun and Yahagi. A new way of calculating the lattice parameters is proposed, making their computation truly recursive. This simplifies the method in Ref.(1), and makes it suitable to the parameter estimation of high-order systems.

The Memory-Based Reasoning (MBR) is one of the mainstay approaches in massively parallel artificial intelligence research. However, it has not been explored from the viewpoint of hardware implementation. This paper demonstrates high robustness of the MBR, which is suitable for hardware implementation using Wafer Scale Integration (WSI) technology, and proposes a design of WSI-MBR hardware. The robustness is evaluated by a newly developed WSI-MBR simulator in the English pronunciation reasoning task, generally known as MBRTalk. The results show that defects or other fluctuations of device parameters have only minor impacts on the performances of the WSI-MBR. Moreover, it is found that in order to get higher reasoning accuracy, the size of the MBR database is much more crucial than the computation resolution. These features are proved to be caused by the fact that MBR does not rely upon each single data unit but upon a bulk data set. Robustness in the other MBR tasks can be evaluated in the same manner as discussed in this paper. The proposed WSI-MBR processor takes advantage of benefits discovered in the simulation results. The most area-demanding circuits--that is, multipliers and adders--are designed by analog circuits. It is expected that the 1.7 million processors will be integrated onto the 8-inch silicon wafer by the 0.3 µm SRAM technology.

The current telecommunication network is structured in two layers: The intelligent layer that includes Intelligent Network (IN) nodes and Operation, Administration and Maintenance (OAM) nodes, and the transport layer that includes Network Elements (NEs). The transport layer carries user Information (Iu) from end-users as well as control and OAM Information (Ic&o) from IN/OAM nodes. The quick deployment of new IN services and OAM capabilities that will need (a) flexibility and easy management, and (b) an effective handling method for searching the huge amount of data among distributed databases, will be two requirements to be satisfied. Integrating various types of Ic&o into a unique Ic&o transport network and using ATM technique as a transport technique satisfies partly the requirement (a). To completely meet both requirements, this paper proposes the following solutions:(a) Intelligent layer connections and transport layer connections should be managed independently: The necessary mapping between the Logical Destination Address (LDA) that represents the logical address of the physical entity where data are routed, combined with the Quality Of Service (QOS) type, and the ATM connection IDentifier (ID), that is to say the Virtual Channel Identifier/ Virtual Path Identifier (VCI/VPI), is provided by specific nodes (the Ic&o network Management Nodes (Ic&o MNs)) belonging to an intermediate layer, i.e., the Ic&o network management layer.(b) The widely distributed aspect of the databases also needs a very effective data handling method. This paper proposes to implement a Distributed Directory System (DDS) into both intelligent nodes and Ic&o MNs.In order to apply the DDS function to 2 functional levels, the following items are studied: First, the possible mapping of DDS functions into the intelligent node functions is proposed. Second, this paper gives an interaction scenario between intelligent nodes and Ic&o MNs, to translate the LDA/QOS type into VPI/VCI. Finally, the analysis of the mapping of LDA/QOS type into VCI/VPI at the ATM level shows that the Ic&o network based on VP backbone offers the best compromise between flexibility, complexity and cost.

Some new circuit configurations for dual-input integrators and differentiators are proposed. The use of a multiplier device around the Operational Amplifier (OA) yields electronic tunability of their time-constant (To) by a Control Voltage (Vx). Experimental results in support of theoretical design and analysis are included.

An adder-based arithmetic VLSI processor using the SD number system is proposed for the applications of real-time computation such as intelligent robot system. Especially in the intelligent robot control system, not only high throughput but also small latency is a very important subject to make quick response for the sensor feedback situation, because the next input sample is obtained only after the robot actually moves. It is essential in the VLSI architecture for the intelligent robot system to make the latency as small as possible. The use of parallelism is an effective approach to reduce the latency. To meet the requirement, an architecture of a new multiple-valued arithmetic VLSI processor is developed. In the processor, addition and subtraction are performed by using the single adderbased processing element (PE). More complex basic arithmetic operations such as multiplication and division are performed by the appropriate data communications between the adder-based PEs with preserving their parallelism. In the proposed architecture, fine-grain parallel processing at the adder-based PE level is realized, and all the PEs can be fully utilized for any parallel arithmetic operations according to adder-based data dependency graph. As a result, the processing speed will be greatly increased in comparison with the conventional parallel processors having the different kinds of the arithmetic PEs such as an adder, a multiplier and a divider. To realize the arithmetic VLSI processor using the adder-based PEs, we introduce the signed-digit (SD) number system for the parallel arithmetic operations because the SD arithmetic has the advantage of modularity as well as parallelism. The multiple-valued bidirectional currentmode technology is also used for the implementation of the compact and high-speed adder-based PE, and the reduction of the number of the interconnections. It is demonstrated that these advantges of the multiple-valued technology are fully used for the implementation of the arithmetic VLSI processor. As a result, the latency of the proposed multiple-valued processor is reduced to 25% that of the binary processor integrated in the same chip size.

In this paper, a methodology for designing the architecture of the processor array for wide class of image processing algorithms is proposed. A concept of spatially expanding the SFG description which enables us to handle the problem as merely one-dimensional signal processing is used in constructing the methodology. Problem of I/O interface which is critical in real-time processing is also considered.

The evolution of Multiple-Valued Logic (MVL) circuits has been inexorably tied to the rapid technological changes induced by evolving needs and emerging developments in computing methodologies. Unfortunately for MVL, the numbers of designers of technologies and circuits whose lives are dedicated to the improvement of binary techniques, are large and overwhelming. Correspondingly, technological developments in MVL typically await the appearance of a problem or technique in the larger binary world to motivate and/or make possible some new advance. Such opportunities are inevitably quite transient since each such problem is simultaneously attacked by many others of a more conventional bent, and, as well, each technological change begets yet another, quickly. It is in the sensing of this reality that the present paper is written. Correspondingly, its thrust is two-fold: One target is the possibility of encouraging a leap ahead through modest technological projection. The other is the possibility of identifying application areas that already exist in this unbalanced competition, but which are specially suited to multiple-valued solutions. For example, it has been clear for decades that one such area is that of arithmetic. Correspondingly, we in MVL must strive quickly to concentrate our efforts on applications that exploit such demonstrable strengths. Some such applications are includes here; others are visible historically, many probably remain to be found: Search on!

A further study on a VLSI system compiler, named VEGA (VLSI Embodiment for General Algorithms), is presented. It maps a general digital signal processing algorithm onto a neo-systolic array, which is a VLSI oriented multiprocessor array. Highly complicated mapping problem is divided into subproblems such as modularization, operation grouping, processor placement, scheduling, control logic synthesis, and mask pattern generation. In this paper, the modularization technique is proposed which homogenizes all the operations of the processing algorithm to multiply-add operations. The processor placement algorithm to map processing algorithm onto a neo-systolic array so as to minimize data transfer time is also proposed.

In this paper, a design method is described for very low sensitivity fully-balanced narrow-band band-pass switched-capacitor filters (SCF's) whose worst-case sensitivities of the amplitude responses become zero at every reflection zero. The proposed method is based on applying the low-pass to high-pass transformation, the pseudo two-path technique and the capacitance-ratio reduction technique to very low sensitivity low-pass SC ladder filters. A design example of the band-pass SCF with a quality factor Q250 is given to verify the proposed method. The remarkable advantages of this approach are very low sensitivity to element-value variations, a small capacitance spread, a small total capacitance, and clock-feedthrough noise immunity inside the passband.

This paper studies multidimensional linear periodically shift-variant digital filters (LPSV filters). The notion of a generalized multidimensional transfer function is presented for LPSV filters. The frequency characteristic of the filters is discussed in terms of this transfer function. Since LPSV filters can decompose the spectrum of an input signal into some spectral partitions and rearrange the spectrum, LPSV filters can serve as a frequency scrambler. To show the effect of multidimensional frequency scramble, 2-D LPSV filters are designed based on the 1-D Parks-McClellan algorithm. The resultant LPSV filters divide the input spectrum into some components that are permuted and possibly inverted with keeping the symmetric of the spectrum. Experimental results are presented to illustrate the effectiveness of frequency scramble for real images.

Power-law decay of current for the application of step-function voltage observed for amorphous materials can be expressed by an admittance sa(0a1) of a linear diode using complex angular frequency s. It is shown that power-law decay can be interpreted as a superposition of exponential decays having fractally distributed relaxation times and simulated using RC networks. By use of a similar manner, admittance s-b (0b1) showing the relation of duality can be simulated using RL networks. According to these methods, we can synthesize the admittance involving non-integer exponents systematically.

Complex filters are used to synthesize real filters in digital signal processing, but few in analog one. In this paper, we propose a leapfrog synthesis of complex analog filters. By shifting frequency response of an LCR network along the ω-axis, we have a complex filter with imaginary resistances, which is called an "LCRRi filter." The complex resonator is then used to simulate series- or parallel-arms of the LCRRi filter. We analyze nonideal properties of the complex resonator due to finite gain-bandwidth product of operational amplifiers and propose a compensation method to put a pole on correct location. Experimental results show good performance of the proposed method.

This paper describes design considerations for high frequency active BPFs up to 100 MHz. The major design issues for high frequency active filters are the excess phase shift in the integrators and high power consumption of the integrators. Typical bipolar transistor based transconductors such as the Gilbert gain cell and the linearized transconductor with two asymmetric emitter-coupled pairs have been analyzed and compared. It has been clarified that the power consumption of the linearized transconductor can be much smaller than that of the Gilbert gain cell because of its high transconductance to working current ratio while maintaining a signal to noise ratio of the same order. A simple high-speed fully differential linearized transconductor cell is proposed with emitter follower buffers and resistive loads for excess phase compensation. A novel gyrator based transformation for the LC ladder BPF has been introduced. This transformation has resulted in a structure with simple capacitor-coupled active resonators which exactly preserves the original transfer function. A fourth order 10.7 MHz BPF IC was designed using the proposed transconductors. It was fabricated and has demonstrated the usefulness of the proposed approach. In addition, an experimental 100 MHz second order BPF IC with Q=14 has been successfully implemented indicating the potential of the proposed approach.

This paper describes an automatic transistor model parameter generation technique for a circuit simulator which can take device geometry into account. An 'area factor' is used to generate model parameters for different transistor shapes; however, the conventional method could not reflect the actual geometry differences other than for the emitter area. This resulted in inaccurate model parameters and such parameters were not acceptable to accurately simulate circuits for RF ICs. The proposed technique uses actually measured parameters and process data for a reference transistor and generates the individual model parameters for different shape transistors. In this technique, the parasitic resistor values are calculated and fitted in place of directly extracting them from the measured data. This ensures a better estimate. The reference transistor is made sufficiently large to neglect measurement errors in generating the parasitic capacitors. Thus, the model parameters for a very small transistor can be generated accurately. The model generating procedure has been implemented as a pre-processor to SPICE. This technique enables a fast turn around for RF IC circuit design which uses various shape transistors.

With rapid increase of information requirements from various application areas, there has been much research on the efficient information retrieval. A signature is an abstraction of information, and has been applied in many proposals of information retrieval systems. In this paper we evaluate the performance of various signature-based information retrieval methods and provide guidelines for the most effective usage to a given operational environment. We derive analytic performance evaluation models of these access methods based on retrieval time, storage overhead and insertion time. The relationships between various performance parameters are thoroughly investigated. We also perform simulation experiments by using wide range of parameter values and show that the performance experiments agree with those analytic models.

Compared to multi-level signature file techniques, PSF (Partitioned Signature File) technique has less processing overhead by its characteristics of a simple file organization. In a multi-processor environment, the PSF technique also has an advantage that queries can be processed in parallel effectively by allocating one or more partitions to each processor. Main point of the PSF technique is a partitioning scheme based on a key selection. In this paper, an n-BFK (n-Bounded Floating Key) partitioning scheme is proposed, in which the number of segments for a key selection is bounded by n. The cost model is developed for the performance evaluation of the proposed scheme. By performance comparison with the existing schemes, the efficiencies of the proposed scheme are shown with respect to a disk access cost, a signature reduction ratio, and an uniformity of workload.

This paper presents an efficient multi-precision modular-multiplication algorithm which minimizes the calculation RAM space required when implementing public-key schemes with software on general-purpose computers including smart cards and personal computers. Many modular-multiplication algorithms cannot be efficiently realized on small systems due to their high RAM consumption. The Montgomery algorithm, which can rapidly perform modular multiplication, has received a lot of attention. Unfortunately, the Montgomery algorithm is difficult to implement, especially in smart cards which have extremely limited RAM space. Furthermore, when the modulus of modular multiplication is frequently changed, or when the number of permissible repeated modular multiplications is small, pre- and post-processing operations such as conversion from/to the Montgomery space become wasteful. The proposed algorithm avoids these problems because it requires only half the RAM space and no pre- and post-processing operations. The algorithm is a radical extension to the approximation methods that use the most significant bits and our newly proposed lookahead determination method. This paper gives a proof of the completeness of this method, describes implementation results using a smart card, introduces a theory supported by the results, and considers the optimal technique to enhance the speed of this method.