In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...

Steve Goddard: On the Management of Latency in the Synthesis of Real-Time Signal Processing Systems from Processing Graphs. (Under the direction of Kevin Je ay.) Complex digital signal processing systems are commonly developed using directed graphs called processing graphs. Processing graphs are large grain data ow graphs in which nodes represent processing functions and graph edges depict the ...

Energy harvesting wireless networks is one of the most researched topics in this decade, both industry and academia, as it can offer self-sustaining sensor networks. With RF energy (RF-EH) embedded, sensors operate for extended periods by from environment or receiving an signal a hybrid base station (HBS). Thus, providing sustainable solutions managing massive numbers nodes. However, biggest hu...

In this paper, a Gaussian two-way relay channel, where two source nodes exchange messages with each other through a relay, is considered. We assume that all nodes operate in full-duplex mode and there is no direct channel between the source nodes. We propose an achievable scheme composed of nested lattice codes for the uplink and structured binning for the downlink. We show that the scheme achi...

The Location-based service on Wireless Sensor Networks, mainly depend on the Receiver Signal Strength (RSS) to measure the distance between the sender and receiver. The location unaware sensor nodes send beacon periodically which captured by anchor sensor nodes. However, the estimated distances may incur large error, and will risk the localization precision. A secant location estimation algorit...

Classification of mental tasks from electroencephalogram (EEG) signals play a crucial role in designing various brain-computer interface (BCI) applications. Most the current techniques consider each channel as independent, neglecting functional connectivity brain during activity and are primarily subject specific. This paper proposes graph signal representation to classify pair using multi-chan...

We propose a new passive system for indoor localization of mobile nodes. After the setup, our system only relies on arbitrary wireless communication from the nodes, whereby neither the mobile nodes nor the communication needs to be under our control. The presented system is composed of three Artificial Neural Networks (ANN) using a radiomap approach and the Received Signal Strength (RSS) for lo...

background: to evaluate the efficacy of color doppler ultrasound (cdus) in differentiating benign and malignant cervical lymph nodes by detecting differences in blood flow patterns. materials and methods: in this cross‑sectional prospective study, 25 untreated patients with clinical evidence of cervical lymphadenopathy were evaluated. cdus was performed for 80 cervical lymph nodes. the gray sca...

Wireless ad-hoc networks are commonly supposed to be a key technology for future ubiquitous computing environments. The dynamic nature of such networks demands mechanisms that allow the users to assess the availability of given network connections. In this paper we present a novel connection stability heuristic based on neighborhood information of intermediary network nodes. This heuristic iden...