The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents new system-level design for the cognitive sensor based on energy detection to boast the performance accuracy by maintaining a queue of energy samples and computing their average to determine the decision threshold. Thereafter, these values summed over average number of samples are again compared with the recent energy value to decide whether the spectrum is occupied or unoccupied...
Due to great advantages of the imprecise computational blocks in implementation of imprecision tolerant applications, a wide range of different imprecise structures as well as some of their new applications are introduced in recent years. However, due to inherent differences between imprecise and precise components, their utilization approaches should also be customized to gain the best performance...
We present inexact Fast Fourier Transform (FFT) accelerators that can realize energy-accuracy tradeoffs taking advantage of various inexact design techniques in conjunction with a machine-learning inspired waveform shaping technique. A 65nm ASIC test chip with several inexact FFTs shows a reduction in datapath energy consumption upto 75% and the total energy consumption upto 45% (a factor of 4X and...
This paper presents a new method for timing synchronization in mobile transceivers utilizing direct sequence spread spectrum signaling (DSSS) for target localization. Traditional methods of timing synchronization for DSSS produce variable latency that depends on channel characteristics and configuration. This latency produces bias in range measurements which causes errors in position estimation. Our...
We present a zero hardware-overhead design approach called reciprocative error compensation(REC) that significantly enhances the energy-accuracy trade-off gains in inexact signal processing datapaths by using a two-pronged approach: (a) deliberately redesigning the basic arithmetic blocks to effectively compensate for each other's (expected) error through inexact logic minimization, and (b) “reshaping”...
An adaptive calibration technique based on the least mean squares (LMS) algorithm is presented which does not rely on integrated calibration networks and is therefore suitable for e.g. array-fed reflector (AFR) antenna systems. Using hardware-implemented algorithms, makes the calibration real-time capable and independent of external computation. Possibilities to enhance the LMS by step-size controlling...
This paper presents a new technique for multipath detection in wideband mobile radio systems. An intelligent search algorithm using Boolean Satisfiability (SAT) techniques is used to search for the multipath delays. The proposed algorithm finds the multipath components with high probability and hence allows the system to utilize the inherent diversity in these components to mitigate channel fading...
This paper proposes a novel method for aligning two signals using the information contained in the overlapped band. In particular the proposed method aligns two signals by compensating both time-delay and phase-offset in the second signal using the estimated gradient of phase difference in the overlapped band. Compared with other conventional methods, this method can align two signals without requiring...
In this paper, dynamic algorithm transformations (DATs) for designing low-power reconfigurable signal-processing systems are presented. These transformations minimize energy dissipation while maintaining a specified level of mean squared error or signal-to-noise ratio. This is achieved by modeling the nonstationarities in the input as temporal/spatial transitions between states in the input state-space...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.