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The variable stepsize methods are effective to accelerate many iteration algorithms, one aim of them is to construct an adaptive stepsize, which has more simple and efficient format. The purpose of this paper is to introduce a new simpler variable stepsize for the CQ (Convexes C and Q) algorithm and to reconstruct the sparse compressed sensing data from noise. In order to solve the split feasibility...
The STT-RAM (Spin-Transfer Torque Magnetic RAM) technology is a promising candidate for cache memory because of its high density, low standy-power, and non-volatility. As technology scales, especially under 40nm technology node, the read disturbance becomes severe since the read current approaches closely to the switching current. In addition, the read latency and access performance degrade significantly...
Being one of the most popular and extensively studied ERP-BCI paradigm, ERP-spellers are commonly built and tested in ideal lab settings. However, in practical applications, users may encounter complex situations and various mental processing that have been believed to affect ERP signals. This kind of effect will probably induce a deteriorated performance of ERP-spellers. In the current study, a working...
An optimal presetting method is proposed to improve the adaptation of the Landweber algorithm. The Armijo-like search rule for accelerating the CQ (nonempty closed convex sets C and Q) algorithm is introduced. The proposed method firstly calculates the error at each step of iterations. Then it presets the optimal number of iterations. Afterward it combines with the result of the Armijo-like search...
In virtue of the simulation model of Weibull distribution radar clutter based on the zero memory nonlinear (ZMNL) method, it is difficult to obtain the explicit closed solution, due to the complex formula between the correlation coefficients that before and after the nonlinear transformation. The implicit function iteration method can solve the nonlinear formula, but there is large computational cost...
Spin-transfer torque random access memory (STT-RAM) has recently gained increased attentions from circuit design and architecture societies. Although STT-RAM offers a good combination of small cell size, nanosecond access time and non-volatility for embedded memory applications, the reliability of STT-RAM is severely impacted by device variations and environmental disturbances. In this paper, we develop...
Spin-transfer torque random access memory (STTRAM) is a promising candidate for next-generation non-volatile memory technologies. It combines many attractive attributes such as nanosecond access time, high integration density, non-volatility, and good CMOS process compatibility. However, process variation continues to be a critical issue in the designs of STT-RAM and the derived spintronic logic....
Novel nonvolatile memory (NVM) technologies are gaining significant attention from semiconductor industry in the competition of universal memory development. However, as nanoscale devices, these emerging NVMs suffer from the intrinsic technology challenges such as large process variations. The importance of effective statistical approaches for yield estimation and robust design arises in the commercialization...
A new nonvolatile latch design is proposed based on the magnetic tunneling junction (MTJ) devices. In the standby mode, the latched data can be retained in the MTJs without consuming any power. Two types of operation errors, namely, persistent and non-persistent errors, are quantitatively analyzed by including the process variations and thermal fluctuations during the read and write operations. A...
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