Based on our previous work, this work presents a complete method for time-domain processing of frequency-domain data with evenly-spaced frequency indices, together with its application. The proposed method can be used to calculate the cross spectral and power spectral densities for the frequency indices of interest. A promising application for the time-domain processing of frequency-domain data, particularly for calculating the summation of frequency-domain cross- and auto-correlations in orthogonal frequency-division multiplexing (OFDM) systems, is studied. The advantages of the time-domain processing of frequency-domain data are 1) the ability to rapidly acquire the properties that are readily available in the frequency domain and 2) the reduced complexity. The proposed fast algorithm directly employs time-domain samples, and hence, does not need the fast Fourier transform (FFT) operation. The proposed algorithm has a lower complexity (required complex multiplications ∼ O(N)) than conventional techniques.

Feature selection (FS) plays an important role in pattern recognition and machine learning. FS is applied to dimensionality reduction and its purpose is to select a subset of the original features of a data set which is rich in the most useful information. Most existing FS methods based on rough set theory focus on dependency function, which is based on lower approximation as for evaluating the goodness of a feature subset. However, by determining only information from a positive region but neglecting a boundary region, most relevant information could be invisible. This paper, the maximal lower approximation (Max-Certainty) – minimal boundary region (Min-Uncertainty) criterion, focuses on feature selection methods based on rough set and mutual information which use different values among the lower approximation information and the information contained in the boundary region. The use of this idea can result in higher predictive accuracy than those obtained using the measure based on the positive region (certainty region) alone. This demonstrates that much valuable information can be extracted by using this idea. Experimental results are illustrated for discrete, continuous, and microarray data and compared with other FS methods in terms of subset size and classification accuracy.

We propose a novel substrate-bias control scheme for an FD-SOI SRAM that suppresses inter-die variability. The proposed circuits detect inter-die threshold-voltage variation automatically, and then maximize read/write margins of memory cells to supply the substrate bias. We confirmed that a 486-kb 6T SRAM operates at 0.42 V, in which an FS corner can be compared as much as 0.14 V or more.

This paper presents an efficient implementation of OFDM inner receiver on a programmable multi-core processor platform with CMMB as an application. The platform consists of an array of programmable SIMD processors interconnected in a 2-D mesh network, which can provide high performance and is quite suitable for wireless communication applications. Implemented on one cluster with 8 cores, the receiver includes symbol timing, carrier frequency offset and sampling frequency offset synchronization, channel estimation and equalization. Multiple optimization techniques are explored to improve system throughput such as: task-level parallelism on many cores, data-level parallelism on SIMD cores, minimization of memory access and route-length-minimization task mapping techniques. Besides, efficient memory strategy and specific instructions for complex computation increase the performance. The simulation results show that the inner receiver could achieve a throughput of up to 120 Mbps when operating at 750 MHz.

In this letter, a novel resource allocation method is proposed for Discrete Fourier Transform Spread Orthogonal Frequency Division Multiple Access (DFT-s-OFDMA) systems in Long Term Evolution (LTE). The proposed method is developed based on a minimal metric loss criterion and performs better than the commonly used Recursive Maximum Expansion (RME) method.

This paper investigates the application of inter-cell interference coordination (ICIC) in heterogeneous networks for the LTE-Advanced downlink where picocells are overlaid onto macrocells. In LTE-Advanced, in order to perform ICIC, almost blank subframes (ABSs) are employed, where only the cell-specific reference signal (CRS) is transmitted to protect the subframes in the picocells from severe interference from the macrocells. Furthermore, multicast/broadcast over single-frequency network (MBSFN) subframes are employed to reduce the interference of the CRS on the data channel, although the control channel still suffers from interference from the CRS. When the cell range expansion (CRE), which offload the UEs from macrocells to picocells, is used to improve the system performance, the influence from the CRS increases. In order to assess the influence, the required CRE bias to improve the data channel is investigated based on a system-level simulation under various conditions such as the number of picocells, the protected subframe ratio, and the user distribution. The simulation results show that the cell-edge user throughput is improved with the CRE bias of more than 8 dB, employing ABSs. Furthermore, simulation results show that one dominant source of interference is observed for the sets of user equipment (UEs) connected to the picocells via CRE with such a bias value. Based on observation, the influence that the CRS has on the control channel, i.e., physical control format indicator channel (PCFICH), and physical downlink control channel (PDCCH) is investigated based on a link-level simulation combined with a system-level simulation. The simulation results show that protecting the PCFICH is very important compared to protecting the PDCCH, since the block error rate (BLER) performance of the PCFICH becomes worse than the required BLER of 10-3 to support various conditions, although the BLER performance of the PDCCH can exceed the required BLER of 10-2 by spanning the PDCCH over three OFDM symbols.

A new codebook mapping algorithm for artificial bandwidth extension (ABE) is introduced in this paper. We design a wideband line spectrum pair (LSP) codebook which is coupled with the same index as the LSP codebook of a narrowband speech codec. The received narrowband LSP codebook indices are used to directly induce wideband LSP codewords. Thus, the proposed scheme eliminates codebook search processing to estimate the wideband spectrum envelope. We apply the proposed scheme to bandwidth extension in adaptive multi-rate (AMR) compressed domain. Its performance is assessed via the perceptual evaluation of speech quality (PESQ), informal listening tests, and weighted million operations per second (WMOPS) calculations.

Developing a rapid prototyping environment utilizing hardware description languages (HDLs) and conventional FPGAs can help ease and conquer the difficulties caused by the complexity of asynchronous digital systems and the advance of VLSI technology recently. We proposed a design flow and a FPGA template for implementing generalized C-element (gC) style asynchronous controllers. Utilizing conventional FPGA synthesis tools, self-timed bundled-data function modules can be realized with some effort on timing validation. The proposed design flow with FPGA-based realization approach is a very effective design methodology for rapid prototyping and functionality validation. This work could be useful for the early stage of performance estimation, power reduction exploration, circuits design training, and many other applications regarded asynchronous circuits. In this paper, the proposed FPGA-based asynchronous circuit design flow, a hands-on design tutorial, a generalized C-element template, and a list of synthesized benchmark circuits are documented and discussed in detail.

In Digital Library (DL) applications, digital book clustering is an important and urgent research task. However, it is difficult to conduct effectively because of the great length of digital books. To do the correct clustering for digital books, a novel method based on probabilistic topic model is proposed. Firstly, we build a topic model named LDAC. The main goal of LDAC topic modeling is to effectively extract topics from digital books. Subsequently, Gibbs sampling is applied for parameter inference. Once the model parameters are learned, each book is assigned to the cluster which maximizes the posterior probability. Experimental results demonstrate that our approach based on LDAC is able to achieve significant improvement as compared to the related methods.

Allowing WLANs to exploit opportunistic spectrum access (OSA) is a promising approach to alleviate spectrum congestion problems in overcrowded unlicensed ISM bands, especially in highly dense WLAN deployments. In this context, novel channel assignment mechanisms jointly considering available channels in both unlicensed ISM and OSA-enabled licensed bands are needed. Unlike classical schemes proposed for legacy WLANs, channel assignment mechanisms for OSA-enabled WLAN should face two distinguishing issues: channel prioritization and spectrum heterogeneity. The first refers to the fact that additional prioritization criteria other than interference conditions should be considered when choosing between ISM or licensed band channels. The second refers to the fact that channel availability might not be the same for all WLAN Access Points because of primary users' activity in the OSA-enabled bands. This paper firstly formulates the channel assignment problem for OSA-enabled WLANs as a Binary Linear Programming (BLP) problem. The resulting BLP problem is optimally solved by means of branch and bound algorithms and used as a benchmark to develop more computationally efficient heuristics. Upon such a basis, a novel channel assignment algorithm based on weighted graph coloring heuristics and able to exploit both channel prioritization and spectrum heterogeneity is proposed. The algorithm is evaluated under different conditions of AP density and primary band availability.

Current sources are essential components for analog circuit designs, the mismatch of which causes the significant degradation of the circuit performance. This paper addresses the mismatch model of CMOS current sources, unlike the conventional modeling, focusing on the layout- and λ-dependency of the process variation, where λ is the output conductance parameter. To make it clear what variation parameter influences the mismatch, we implemented a test chip on 90 nm process technology, where we can collect the characteristics variation data for MOSFETs of various layouts. The test chip also includes D/A converters to check the differential non-linearity (DNL) caused by the mismatch of current sources when behaving as a DAC. Identifying the variation and the circuit-level errors in the measured DNLs, we reveal that our model can more accurately account for the current variation compared to the conventional mismatch model.

Initialize and weak-program erasing scheme is proposed to achieve high-performance and high-reliability Ferroelectric (Fe-) NAND flash solid-state drive (SSD). Bit-by-bit erase VTH control is achieved by the proposed erasing scheme and history effects in Fe-NAND is also suppressed. History effects change the future erase VTH shift characteristics by the past program voltage. The proposed erasing scheme decreases VTH shift variation due to history effects from ±40% to ±2% and the erase VTH distribution width is reduced from over 0.4 V to 0.045 V. As a result, the read and VPASS disturbance decrease by 42% and 37%, respectively. The proposed erasing scheme is immune to VTH variations and voltage stress. The proposed erasing scheme also suppresses the power and bandwidth degradation of SSD.

A charge-integration read scheme has been developed for a solid-nanopore DNA-sequencer that determines a genome by direct and electrical measurements of transverse tunneling current in single-stranded DNA. The magnitude of the current was simulated with a first-principles molecular dynamics method. It was found that the magnitude is as small as in the sub-pico ampere range, and signals from four bases represent wide distributions with overlaps between each base. The distribution is believed to originate with translational and rotational motion of DNA in a nanopore with a frequency of over 105 Hz. A sequence scheme is presented to distinguish the distributed signals. The scheme makes widely distributed signals time-integrated convergent by cumulating charge at the capacitance of a nanopore device and read circuits. We estimated that an integration time of 1.4 ms is sufficient to obtain a signal difference of over 10 mV for distinguishing between each DNA base. Moreover, the time is shortened if paired bases, such as A-T and C-G in double-stranded DNA, can be measured simultaneously with two nanopores. Circuit simulations, which included the capacitance of a nanopore calculated with a device simulator, successfully distinguished between DNA bases in less than 2.0 ms. The speed is roughly six orders faster than that of a conventional DNA sequencer. It is possible to determine the human genome in one day if 100-nanopores are operated in parallel.

This paper demonstrates a FinFET operational amplifier (opamp), which is suitable to be integrated with digital circuits in a scaled low-standby-power (LSTP) technology and operates at extremely low voltage. The opamp is consisting of an adaptive threshold-voltage (Vt) differential pair and a low-voltage source follower using independent-double-gate- (IDG-) FinFETs. These two components enable the opamp to extend the common-mode voltage range (CMR) below the nominal Vt even if the supply voltage is less than 1.0 V. The opamp was implemented by our FinFET technology co-integrating common-DG- (CDG-) and IDG-FinFETs. More than 40-dB DC gain and 1-MHz gain-bandwidth product in the 500-mV-wide input CMR at the supply voltage of 0.7 V was estimated with SPICE simulation. The fabricated chip successfully demonstrated the 0.7-V operation with the 480-mV-wide CMR, even though the nominal Vt was 400 mV.

A Drude-critical points (D-CP) model for considering metal dispersion is newly incorporated into the frequency-dependent FDTD method using the simple trapezoidal recursive convolution (TRC) technique. Numerical accuracy is investigated through the analysis of pulse propagation in a metal (aluminum) cladding waveguide. The TRC technique with a single convolution integral is found to provide higher accuracy, when compared with the recursive convolution counterpart. The methodology is also extended to the unconditionally stable FDTD based on the locally one-dimensional scheme for efficient frequency-dependent calculations.

We describe a multi-step approach for automatic segmentation of the femoral head and the acetabulum in the hip joint from three dimensional (3D) CT images. Our segmentation method consists of the following steps: 1) construction of the valley-emphasized image by subtracting valleys from the original images; 2) initial segmentation of the bone regions by using conventional techniques including the initial threshold and binary morphological operations from the valley-emphasized image; 3) further segmentation of the bone regions by using the iterative adaptive classification with the initial segmentation result; 4) detection of the rough bone boundaries based on the segmented bone regions; 5) 3D reconstruction of the bone surface using the rough bone boundaries obtained in step 4) by a network of triangles; 6) correction of all vertices of the 3D bone surface based on the normal direction of vertices; 7) adjustment of the bone surface based on the corrected vertices. We evaluated our approach on 35 CT patient data sets. Our experimental results show that our segmentation algorithm is more accurate and robust against noise than other conventional approaches for automatic segmentation of the femoral head and the acetabulum. Average root-mean-square (RMS) distance from manual reference segmentations created by experienced users was approximately 0.68 mm (in-plane resolution of the CT data).

Traditional authentication protocols are based on cryptographic techniques to achieve identity verification. Distance bounding protocols are an enhanced type of authentication protocol built upon both signal traversal time measurement and cryptographic techniques to accomplish distance verification as well as identity verification. A distance bounding protocol is usually designed to defend against the relay attack and the distance fraud attack. As there are applications to which the distance fraud attack is not a serious threat, we propose a streamlined distance bounding protocol that focuses on the relay attack. The proposed protocol is more efficient than previous protocols and has a low false acceptance rate under the relay attack.

Wafer-level testing is a well established solution for detecting manufacturing errors and removing non-functional devices early in the fabrication process. Recently this technique has been facing a number of challenges, resulting from increased complexity of devices under test, larger number and higher density of pads or bumps, application of mechanically fragile materials, such as low-k dielectrics, and ever developing packaging technologies. Most of these difficulties originate from the use of mechanical probes, as they limit testing speed, impose performance limitations and add reliability issues. Earlier work focused on relaxing these constraints by removing mechanical probes for data transmission and DC signal measurement and replacing them with non-contact interfaces. In this paper we extend this concept by adding a capability of transferring power wirelessly, enabling non-contact wafer-level testing. In addition to further improvements in the performance and reliability, this solution enables new testing scenarios such as probing wafers from their backside. The proposed system achieves 6 W/25 mm2 power transfer density over a distance of up to 0.32 mm, making it suitable for non-contact wafer-level testing of medium performance CMOS integrated circuits.

This paper describes a method for estimating Direction Of Arrival (DOA) of multiple sound sources in full azimuth with three microphones. Estimating DOA with paired microphone arrays creates imaginary sound sources because of time delay of arrival (TDOA) being identical between real and imaginary sources. Imaginary sound sources can create chronic problems in multiple Sound Source Localization (SSL), because they can be localized as real sound sources. Our proposed approach is based on the observation that each microphone array creates imaginary sound sources, but the DOA of imaginary sources may be different depending on the orientation of the paired microphone array. With the fact that a real source would always be localized in the same direction regardless of the array orientation, we can suppress the imaginary sound sources by minimum filtering based on Steered Response Power – Phase Transform (SRP-PHAT) method. A set of experiments conducted in a real noisy environment showed that the proposed method was accurate in localizing multiple sound sources.

This paper proposes optical node architectures for the single-layer optical cross-connect (OXC) and hierarchical OXC (HOXC) that utilize dedicated add/drop switches for originating/terminating traffic at a node. For both single-layer OXC and HOXC, three architectures with different restrictions on add/drop capabilities are presented. The performance of the proposed architectures is compared through numerical experiments. The architectures significantly reduce total switch scale and minimize necessary switch size while attaining colorless, directionless and contentionless capabilities.