With the development of digital audio technology, recently, a so-called DSD(direct stream digital) coding technique becomes a hot subject of research. Now, engineers all over the world are researching on digital power...
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With the development of digital audio technology, recently, a so-called DSD(direct stream digital) coding technique becomes a hot subject of research. Now, engineers all over the world are researching on digital power amplifier and digital speaker, hoping that 1-bit stream in the form of DSD can be amplified by a digital power amplifier and then the amplified signal can be passed to a digital speaker directly so that the high-fidelity of digital audio can be achieved. In the procedure of development, the demand of high-speed is placed on the process of filtering and noise-shaping. In order to fulfill this demand, a high-speed data processing channel based on DSD is presented in this paper, the speed of data processing is enhanced effectively by using RNS FIR filter in DSP.
This paper considers linear precoding for time-varying multiple input multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on the conjugate gradient (CG) method ca...
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This paper considers linear precoding for time-varying multiple input multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on the conjugate gradient (CG) method can result in significantly reduced complexity compared with conventional approaches. This reduction is achieved by incorporating a condition number constraint into the precoder optimization framework, which leads to clustered eigen values of the measurement covariance matrix. The cost is a small increase in MSE compared to the optimal precoder.
The hydrophobic effect is the major factor that drives a protein molecule towards folding and to a great degree the stability of protein structures. Therefore the knowledge of hydrophobic regions and its prediction is...
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The hydrophobic effect is the major factor that drives a protein molecule towards folding and to a great degree the stability of protein structures. Therefore the knowledge of hydrophobic regions and its prediction is of great help in understanding the structure and function of the protein. Hence determination of membrane buried region is a computationally intensive task in bioinformatics. Several prediction methods have been reported but there are some deficiencies in prediction accuracy and adaptability of these methods. Of these proteins that are found embedded in cellular membranes, called as membrane proteins, are of particular importance because they form targets for over 60% of drugs on the market. 20-30% of all the proteins in any organism are membrane proteins. Thus transmembrane protein plays important role in the life activity of the cells. Hence prediction of membrane buried segments in transmembrane proteins is of particular importance. In this paper we have proposed signal processing algorithms based on digital filter for prediction of hydrophobic regions in the transmembrane proteins and found improved prediction efficiency than the existing methods. Hydrophobic regions are extracted by assigning physico-chemical parameter such as hydrophobicity and hydration energy index to each amino acid residue and the resulting numerical representation of the protein is subjected to digital low pass filter. The proposed method is validated on transmembrane proteins using Orientation of Proteins in Membranes (OPM) dataset with various prediction measures and found better prediction accuracy than the existing methods.
In a Wireless Sensor Networks (WSN), there are normally one or several sensor nodes working as Access Points (AP), which are able to provide a relay for other sensors to an external Internet connection. Since WSNs are...
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As the technology scales, the increase of circuit delay over time due to NBTI (negative bias temperature instability) effect is not negligible any more. It has been known that voltage scaling is an effective scheme th...
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ISBN:
(纸本)9781424475162
As the technology scales, the increase of circuit delay over time due to NBTI (negative bias temperature instability) effect is not negligible any more. It has been known that voltage scaling is an effective scheme that is able to mitigate the NBTI effect. However, a careful control of voltage scaling is required not to increase the dissipation of dynamic power significantly. On the other hand, body biasing can also be used to mitigate the NBTI effect by lowering down the threshold voltage, but its effectiveness is limited, as will be demonstrated in this work, and it increases the leakage power. This work addresses an important problem of minimizing the power consumption of circuit while controlling the NBTI induced delay increase to meet the circuit timing constraint by simultaneously utilizing the effects of voltage scaling and body biasing on both NBTI and power consumption. Precisely, we solve the problem of finding a set of supply and body biasing voltage values to apply circuit clusters on standard cell based design to minimize the total power consumption while satisfying the constraint of circuit life time, considering the NBTI induced delay factor in circuit timing computation. By a comprehensive analysis on the relations between the values of supply and body biasing voltages and the values of the resulting power consumption and NBTI induced delay, we precisely formulate the problem, and transform it into a problem of convex optimization to solve it efficiently. Through extensive experimentation using ISCAS benchmark designs, it is shown that the proposed approach to the simultaneous exploitation of supply voltage and body biasing is able to produce designs with 14% and 8% reduced energy consumption on average over the designs produced by the design time NBTI-aware guard-banding based voltage scaling and the run time NBTI-aware voltage scaling, respectively.
Despite extensive work on traffic dynamics and epidemic spreading on complex networks, the interplay between these two types of dynamical processes has not received adequate attention. We study the effect of local-rou...
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Despite extensive work on traffic dynamics and epidemic spreading on complex networks, the interplay between these two types of dynamical processes has not received adequate attention. We study the effect of local-routing-based traffic dynamics on epidemic spreading. For the case of unbounded node-delivery capacity, where the traffic is free of congestion, we obtain analytic and numerical results indicating that the epidemic threshold can be maximized by an optimal routing protocol. This means that epidemic spreading can be effectively controlled by local traffic dynamics. For the case of bounded delivery capacity, numerical results and qualitative arguments suggest that traffic congestion can suppress epidemic spreading. Our results provide quantitative insight into the nontrivial role of traffic dynamics associated with a local-routing scheme in the epidemic spreading.
This paper describes a path planning algorithm for calculates collision free path of two manipulators in a populated environment for 2 or 3-dimensional workspace. In the algorithm, two manipulators are considered as a...
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This paper describes a path planning algorithm for calculates collision free path of two manipulators in a populated environment for 2 or 3-dimensional workspace. In the algorithm, two manipulators are considered as a single composite one. A newly developed path planning algorithm BFA (Backtrack Free path planning Algorithm) enables the efficient generation of paths of this composite manipulator with many arms. BFA is an exact algorithm, i.e. the algorithm is backtrack free and resolution complete. Its computation time and memory space are proportional to the total number of arms in composite manipulators. Therefore paths can be calculated within practical and predetermined time even for manipulators with many arms, and it becomes possible to plan complicated motions of multi-arm manipulators in fully automated environments. The performance of BFA is evaluated for 2-dimensional environments. An additional advantage of this approach is that paths of individual manipulators can be calculated in parallel processing.
In this paper, a wireless based network control system is considered. Poisson process models are proposed to approximate the transmission delays for both single-hop and multi-hop wireless transmissions. State estimati...
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In this paper, a wireless based network control system is considered. Poisson process models are proposed to approximate the transmission delays for both single-hop and multi-hop wireless transmissions. State estimation is done in the real wireless network and a simulated network using the Poisson process model. The estimate errors in the two cases match well, which verifies the validity of the delay model.
Since the proposal of active optical clock[1,2], a number of neutral atoms with two-level, three-level, and four-level at thermal, laser cooled and trapped configurations have been investigated recently[1-11]. The pot...
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Since the proposal of active optical clock[1,2], a number of neutral atoms with two-level, three-level, and four-level at thermal, laser cooled and trapped configurations have been investigated recently[1-11]. The potential quantum limited linewidth of the active optical clock is narrower than mHz, and to reach this unprecedented linewidth is possible since the thermal noise of cavity mode can
This paper deals with the impact dynamics of a soccer ball. The trajectory of the ball is decided according to its initial velocity, launch angle, and some aerodynamic effect. Specially, the initial velocity is create...
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This paper deals with the impact dynamics of a soccer ball. The trajectory of the ball is decided according to its initial velocity, launch angle, and some aerodynamic effect. Specially, the initial velocity is created by an instant impulse given to the ball. The external impulse exerted on a ball by a kicking robot is a function of the robot’s geometry and dynamic parameters. Here, the coefficient of restitution (COR) is an important parameter to calculate the impulse applied to the ball when the collision is occurred. Usually, COR has been assumed a constant value. We derive an analytical model of COR for the pendulum model colliding with a soccer ball, and show that COR varies according to the velocity. The drag force is taken into account in the COR model. The velocity-dependent characteristic of COR is applied to simulation of a soccer ball traveling a long distance. It is shown that the velocity-dependent COR considerably affects the traveling distance of the flying ball.
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