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Accurate estimation of spike train from calcium (Ca2+) fluorescence signals is challenging owing to significant fluctuations of fluorescence level. This paper proposes a non-model-based approach for spike train inference using group delay (GD) analysis. It primarily exploits the property that change in Ca2+ fluorescence corresponding to a spike has a notable onset location followed by a decaying transient...
The relationships between the amplitude and phase of the short-time Fourier transform (STFT) are investigated. By choosing the Gaussian window for the STFT, we reveal that the group delay and instantaneous frequency of each signal segment, both of which are derived from the phase by definition, can also be explicitly linked with the amplitude. As a result, the amplitude and phase can also be linked...
In this work, we propose an icache performance estimation approach that focuses on a component necessary to handle the instruction parallelism in a very long instruction word (VLIW) processor: the instruction buffer (IB). Our annotation approach is founded on an intermediate level native-simulation framework. It is evaluated with reference to a cycle accurate instruction set simulator leading to an...
Active Queue Management (AQM) is used by routers to limit queue build-up by reacting pro-actively to incipient congestion and modern AQM algorithms attempt to keep queuing latency at a low level. However, current AQM algorithms have hard time to correctly manage load transients, resulting in delay spikes. They suffer from a horizon problem that prevents a router from acquiring a complete picture of...
We are considering problem of estimating autoregressive signal coefficients over a network of agents. Noise and/or multipath are disturbing reception of the signals in network nodes. The autoregressive signals have different powers and delays at different nodes. Least-mean-square algorithms are used in nodes for the estimation as well as the cooperation strategy based on the adapt-then-combine diffusion...
Cumulative distribution functions (CDFs) for multiple-input-multiple-output (MIMO) capacities are computed for flat-fading indoor channels at 5.8 GHz. These CDFs are based on two measured channels and on reconstructions of the MIMO channels from path parameters that are estimated based on measured data. The measured data was obtained using the stepped-frequency method of channel sounding in combination...
The introduction of automation in cyber-physical systems (CPS) has raised major safety and security concerns. One attack vector is the sensing unit whose measurements can be manipulated by an adversary through attacks such as denial of service and delay injection. To secure an autonomous CPS from such attacks, we use a challenge response authentication (CRA) technique for detection of attack in active...
Transmission Control Protocol (TCP), a reliable stream delivery transport protocol performs well in wired network compared to the multi-hop wireless network. The multi-hop wireless networks have several distinct features like dynamic self-configuration and self-healing ability remains integrated with wireless internet that enhances its capability. The TCP implementation in multi-hop wireless network...
Ring oscillators are very popular process monitors due to its easy implementation and high sensitivity to process parameters. This paper presents a technique to accurately estimate the absolute threshold voltage Vth of device under test (DUT) using a reconfigurable ring oscillator (RO). Conventional techniques exploit NMOS-pass transistor based RO to estimate the Vth. However, the RO frequency includes...
In this paper, continuous-time sliding mode control based on the recently developed inertial delay control is extended to the discrete-time case. A notable feature of the proposed control is that it affords control over the magnitude of the quasi-sliding for a given sampling period. The use of the δ-operator in conjunction with a new sliding mode condition derived in this paper, enables complete and...
The conventional Bayesian framework of filtering is based on the assumption that the measurements are available at each time-step without any delay. But in real-life problems, measurements may be randomly delayed in time. In this paper, we modified the unscented Kalman filter (UKF) for arbitrary time delayed measurements. With the help of simulation results, it has been shown that the proposed filter...
System identification (SI) using small samples is a problem of interest in several applications. However, parameter estimation in these situations is a challenge since classical identification techniques (based on prediction-error methods) are guaranteed to be efficient and consistent only under asymptotic (large sample) conditions. In addition these techniques need the knowledge of delay and order...
This paper presents a new algorithm to estimate the parameters and the time delay of continuous-time (CT) systems. The proposed algorithm uses the Simplified Refined Instrumental Variable (SRIVC) method to estimate the plant parameters while using a Gauss-Newton method to find the time delay of the system. The time delay cost function is filtered through multiple low-pass filters with different cut-off...
Industrial systems demand high degree of reliability and real-time requirements in communications. To meet the stringent real-time performance requirements of control systems, there is a critical need for estimation system schedulability before system running. Concerning this issue, in this paper, we propose a supply/demand bound function analysis approach based on earliest deadline first scheduling...
Hadoop suffers from the issue of stragglers in which some tasks with unusual long execution time delay the whole job. Hadoop relieves the straggler problem by launching backup tasks, that are cloned from original tasks and executed on server nodes different from those executing original tasks. A speculative algorithm is responsible for classifying straggler tasks and launching backup tasks. Although...
In this paper, we present TR-BREATH, a time-reversal (TR) based, contact-free, accurate breathing monitoring system capable of multi-person breathing rate estimation within a short period of time (e.g., around one minute) using off-the-shelf WiFi devices. TR-BREATH exploits the fine-grained channel state information (CSI) on WiFi devices to capture the minor variations caused by breathing. To amplify...
In this paper, a three dimensional sound steering system which exploits pointing error minimization techniques is presented. The system uses a three-microphones array located on the vertexes of an equilateral triangle, which capture audio signals generated from a sound source to control a stepper motor based steering unit. The system works in reverberant and noisy environments, and is able to estimate...
A majority of 5G verticals have the potential to generate large revenues, but are expected to have strict Quality of Service (QoS) guarantees, and are projected to be delivered as a service chain of multiple, independent operators. Such multi-operator service delivery requires a set of interdependent Service Level Agreements (SLAs) between operators. The amount and aggregation-level of information...
Phase-locked loop based on an anticonjugate decomposition and a cascaded delayed signal cancellation (ACDSC-PLL) strategy is a recognized technique for estimating the single-phase grid voltage fundamental parameters such as amplitude, frequency and phase angle. However, it struggles with high order harmonics and increases complexity in real time implementation when the number of delayed signal cancellation...
In this paper, two novel channel parameter estimation algorithms are proposed under the "wideband assumption" (WBA), where a wavefront varies significantly when traversing through the sensors of an array. The first is a covariance-based algorithm that utilizes the cross-covariance matrix between two subvectors of the received signal vector and its singular value decomposition to reconstruct...
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