The purpose of this paper is to deal with the problem of recovering a signal from its noisy version. One example is to restore old images degraded by noise. The recovery solution is given within the framework of series expansion and we shall show that for the general case the recovery functions have to be elements of an extended pseudo biorthogonal basis (EPBOB) in order to suppress efficiently the corruption noise. After we discuss the different situations of noise, we provide some methods to construct the optimal EPBOB in order to deal with these situations.

A lower impedance terminal is necessary for an input terminal of current-mode circuits and an output terminal of voltage-mode circuits to reduce an error and distortion in analog signal processing. Thus, the CMOS circuit with a very low impedance terminal (VLIT circuit) is a useful analog building block to achieve the above purpose. The very low impedance terminal in the VLIT circuit is performed by a shunt-series feedback configuration. However, the feedback generates a problem of instability and/or oscillation at the same time. The problem can be removed by a phase compensation capacitor as known well, but the capacitor is not desirable for integrated circuits due to its large area. This paper proposes a new phase compensation technique for the VLIT circuit. The proposed technique does not need any capacitors to obtain a sufficient phase margin, and instead gives us the appropriate transistor sizes (Width and length of the gate). As a result, the VLIT circuit has an enough phase margin and operates stably.

An analog standard cell layout configuration is proposed for simplifying the design and reducing the man-hours for designing mixed analog-digital LSIs, and analog standard cells are fabricated for A-D and D-A converters with Δ-Σ modulators. This works seeks to implement 2-D cell placement with up-down and left-right mirror rotation and shorter high-impedance analog wiring than conventional 1-D placement in order to obtain high-performance analog characteristics. By considering sensitivity to noise, routing channels have been classified into 4 types: high-impedance analog, low-impedance analog, analog-digital, and digital, and efforts have been made to prevent analog wires from crossing over digital wires. In addition to power and analog ground wires, analog standard cells have built-in analog ground wires with attached wells optimized for shielding. These wires are interconnected to a new isolation cell that separates analog circuits from digital circuits and routing channels. Based on the above layout structure, 46 different types of analog standard cells have been designed. Also, the analog part of Δ-Σ type A-D and D-A converters can be automatically designed in conjunction with interactive processing and chips fabricated by using these cells. It was found that, compared to manual design, one could easily obtain a chip occupying less than 1.5-times the area with about 2/3 the man-days using this approach. In comparison with manual design, it was also found that the S/N ratio could be reduced from about 6 to 7 dB.

The proliferation and development of cellular voice systems over the past several years has exposed the capabilities and the effectiveness of wireless communications and, thus, has paved the way for wide-area wireless data applications as well. The demand for such applications is currently experiencing a significant increase and, therefore, there is a strong call for advanced and efficient mobile data technologies. This article deals with these mobile data technologies and aims to exhibit their potential. It provides a thorough survey of the most important mobile packet data services and technologies, including MOBITEX, CDPD, ARDIS, and the emerging GPRS. For each technology, the article outlines its main technical characteristics, discusses its architectural aspects, and explains the medium access protocol, the services provided, and the mobile routing scheme.

This paper describes a new design method for multiply-adders able to process a large quantity of multimedia data. I propose a (signed digits)(unsigned digits) fixed-point multiply-add/subtract unit. The unit eliminates the problems caused by the critical one-bit arithmetic precision drop-off peculiar to the conventional (signed digits)(signed digits) fixed-point multiply scheme. By simultaneously counting in the carry-save form, based on 7-3 counters simultaneously inputting the accumulation terms and the add/sub operation terms of multiplication results, carries are propagated faster than in the conventional method.

Heartbeat interval time series is an example of natural signals with 1/f characteristics. The exponent α of the 1/fα spectrum has some clinical significance. But sometimes the 1/f components is superimposed by some sinusoid components in the signal. To estimate the slope accurately, the 1/f component must be extracted from the signal. The singular spectrum analysis (SSA) method is recruited here to perform the task. Experimental results on data from real patients are satisfactory.

Future high-speed switches and routers will be expected to support a large number of ports at high line rates carrying traffic with diverse statistical properties. Accordingly, scheduling mechanisms will be required to handle Tbit/sec aggregated capacity while providing quality of service (QoS) guarantees. In this paper a novel high-capacity switching scheme for ATM/WDM networks is presented. The proposed architecture is contention-free, scalable, easy to implement and requires no internal "speedup. " Non-uniform destination distribution and bursty cell arrivals are examined when studying the switching performance. Simulation results show that at an aggregated throughput of 1 Tbit/sec, low latency is achieved, yielding a powerful solution for high-performance packet-switch networks.

Low Power design has emerged as a both practically and theoretically attractive theme in modern LSI system design. This paper presents system level power optimization techniques. A brief survey of system level low power design approaches and several examples in detail are described. It reviews some techniques that have been proposed to overcome the power issue and gives guideline for prospective system level solutions.

We introduce a new wavelet image coding framework using context-based zerotree quantization, where an unique and efficient method for optimization of zerotree quantization is proposed. Because of the localization properties of wavelets, when a wavelet coefficient is to be quantized, the best quantizer is expected to be designed to match the statistics of the wavelet coefficients in its neighborhood, that is, the quantizer should be adaptive both in space and frequency domain. Previous image coders tended to design quantizers in a band or a class level, which limited their performances as it is difficult for the localization properties of wavelets to be exploited. Contrasting with previous coders, we propose to trace the localization properties with the combination of the tree-structured wavelet representations and adaptive models which are spatial-varying according to the local statistics. In the paper, we describe the proposed coding algorithm, where the spatial-varying models are estimated from the quantized causal neighborhoods and the zerotree pruning is based on the Lagrangian cost that can be evaluated from the statistics nearby the tree. In this way, optimization of zerotree quantization is no longer a joint optimization problem as in SFQ. Simulation results demonstrate that the coding performance is competitive, and sometimes is superior to the best results of zerotree-based coding reported in SFQ.

A nonlinear inverse filter is proposed for restoring signals degraded by a linear system and additive Gaussian noise. The proposed filter consists of combination of a linear high pass filter and an ε-filter, which is modified from the cascaded linear filter. The nonlinear property of the ε-filter is utilized to suppress pre-enhanced additive random noise and to restore sharp edges. It is demonstrated that the filter can be reduced to a multi-layered neural network model, and the optimal design is described by using the back propagation algorithm. The nonlinear function is approximated by a piecewise linear function, which results in simple and robust training algorithm. An application to image restoration is also presented, illustrating the effectiveness over the linear filter, especially when the amplitude of additive noise is small.

Fuzzy rule-based edge detection using multiscale edge images is proposed. In this method, the edge image is obtained by fuzzy approximate reasoning from multiscale edge images which are obtained by derivative operators with various window sizes. The effect of utilizing multiscale edge images for edge detection is already known, but how to design the rules for deciding edges from multiscale edge images is not clarified yet. In this paper, the rules are represented in a fuzzy style, since edges are usually defined ambiguously, and the fuzzy rules are designed optimally by a training method. Here, the fuzzy approximate reasoning is expressed as a nonlinear function of the multiscale edge image data, and the nonlinear function is optimized so that the mean square error of the edge detection be the minimum. Computer simulations verify its high performance for actual images.

This paper describes a nonblind digital beamformer for SDMA (space division multiple access) systems used when channels are power-limited. An array antenna with many elements is usually required to obtain high antenna gain for the reception of a low-level desired signal and the degree of freedom for the spatial discrimination of many users using the same frequency. The proposed beamformer is designed for such array antennas by employing the combination of a multibeam former and a maximal-ratio-combining (MRC) technique. The MRC technique is extended to a nonblind combiner that uses a training sequence contained in the desired signal. Basic analysis and numerical simulations of its performance, under the power-limited condition and with fixed user terminals, show that the speed and robustness of desired-signal acquisition and undesired-signal suppression may outperform recursive-least-squares (RLS) beamformer with less computation, when it is applied to an array antenna with many elements.

This paper presents an architecture for a single-chip MPEG-2 video encoder and demonstrates its flexibility and usefulness. The architecture based on three-layer cooperation provides flexible data-transfer that improves the encoder from the standpoints of versatility, scalability, and video quality. The LSI was successfully fabricated in the 0.25-µm four-metal CMOS process. Its small size and its low power consumption make it ideal for a wide range of applications, such as DVD recorders, PC-card encoders and HDTV encoders.

We compare between four Connection Admission Control schemes that use either the Gaussian or the Effective Bandwidth model with and without real-time traffic measurements. We demonstrate that under heavy multiplexing, the Gaussian is more efficient than the Effective Bandwidth approach in either case.

This paper proposes a new failure-resistant ATM transport method for real-time applications (FRAT-RA). This method can prevent not only cell loss but also cell delay variation (CDV) even when a network failure occurs. First, a general overview of the existing fault-resistant method is briefly described and its problems for real-time applications are discussed. Next, the proposed FRAT-RA method is described in detail. Finally, evaluation results on the CDV of FRAT-RA and its QoS improvement are presented. The results show that failure-resistant and high-quality transmission of real-time signals can be achieved with FRAT-RA.

The paper shows some of benefits of multi-unitary decomposition in signal analysis applications. It is emphasized that decompositions of complex discrete-time signals onto a single basis provide an incomplete and in such way potentially misleading image of the signals in signal analysis applications. It is shown that the multi-unitary decimated filter banks which decompose the analyzed signal onto several bases of the given vector space can serve as a tool which provides a more complete information about the signal and at the same time the filter banks can enjoy efficient polyphase component implementation of maximally decimated, i. e. nonredundant, filter banks. An insight into the multi-unitary signal decomposition is provided. It is shown that the multiple-bases representation leads to an efficient computation of frequency domain representations of signals on a dense not necessarily uniform frequency grid. It is also shown that the multiple-bases representation can be useful in the detection of tones in digital implementations of multifrequency signaling, and in receivers of chirp systems. A proof is provided that there are possible benefits of the multiple-bases representations in de-noising applications.

Carbon-doped base InP/InGaAs heterojunction bipolar transistor (HBT) technology for millimeter-wave application is presented. Ultra-high carbon doping of InGaAs layers lattice-matched to InP with hole concentrations in excess of 1 1020 /cm3 has been achieved using a chemical beam epitaxy (CBE). Heavily carbon-doped base InP/InGaAs HBT epi structures were grown and small area, self-aligned HBTs with 1.5 µm emitter finger width were fabricated using triple mesa etching and polyimide planarization techniques. The fabricated small area transistors showed a common-emitter current gain cut-off frequency (fT) as high as 200 GHz. Preliminary device reliability test results showed the potential of the heavily carbon-doped base InP/InGaAs HBT for high performance microwave and millimeter-wave applications. Applications of the InP/InGaAs single heterojunction bipolar transistor (SHBT) and double heterojunction bipolar transistor (DHBT) to a direct-coupled feedback amplifier and a power transistor, respectively, are presented.

We propose a new probabilistic ID-based non-interactive key sharing scheme that has non-separable secret-key functions and a non-separable common-key function. The proposed scheme uses the calculation over modulo-P, modulo-Q and over integer ring for realizing non-separability. This proposed scheme has a large threshold against linear attack by the collusive entities.

We address the problem of computing various types of expressive tests for decision trees and regression trees. Using expressive tests is promising, because it may improve the prediction accuracy of trees, and it may also provide us some hints on scientific discovery. The drawback is that computing an optimal test could be costly. We present a unified framework to approach this problem, and we revisit the design of efficient algorithms for computing important special cases. We also prove that it is intractable to compute an optimal conjunction or disjunction.

We report on progress in the development of high current density NbN/AlN/NbN tunnel junctions for application as submillimeter wave SIS mixers. A ultra-high current density up to 120 kA/cm2, roughly two orders of magnitude larger than any reported results for all-NbN tunnel junctions, was achieved in the junctions. The magnetic field dependence and temperature dependence of critical supercurrents were measured to investigate the Josephson tunneling behaviour of critical supercurrents in the high-Jc junctions. We have developed a low-noise quasi-optical SIS mixer with the high-current density NbN/AlN/NbN junctions and two-junction tuning circuits which employ Al/SiO/NbN microstriplines. The tuning characteristics of the mixer were investigated by measuring the response in the direct detection mode by using the Fourier Transform Spectrometer (FTS) and measuring the response in the heterodyne detection mode with the standard Y-factor method at frequencies from 670 to 1082 GHz. An uncorrected double sideband receiver noise temperature of 457 K (12hν/kB) was obtained at 783 GHz.