Although routinely utilized in literature, orthogonal waveforms may lose orthogonality distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) and receive (RX) antennas, as the experience distinct delays Doppler frequency offsets unique to different TX-RX propagation paths. In such cases, output of each waveform-specific matched filter (MF), employed unravel at ...

anomaly detection (ad) has recently become an important application of hyperspectral images analysis. the goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. one way to improve the performance and runtime of these algorithms is to use dimensionality reduction (dr) techniques. this paper evaluates the effect of thr...

Anomaly detection has received considerable interest for hyperspectral data exploitation due to its high spectral resolution. Fast processing and good detection performance are practically significant in real world problems. Aiming at these requirements, this paper develops a recursive local summation RX anomaly detection approach by virtue of sliding windows. This paper develops a recursive lo...

In this paper we consider Anomaly Detection in the hyperspectral context, and extend popular RX detector, initially designed under standard additive model, to replacement model case. Indeed, more realistic framework, target, if present, is supposed replace a part of background. We show how estimate background power variation improve scheme. The obtained Replacement (RRX) shown be closed-form ou...

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techniques. This paper evaluates the effect of thr...

Anomaly detection has received considerable interest for hyperspectral data exploitation due to its high spectral resolution. A well-known algorithm for hyperspectral anomaly detection is the RX detector. A number of variations have been studied since then, including global and local versions for different type of anomalies. Aiming at a real-time requirement for practical applications, this pap...

Equal-gain combining (EGC) is a conventional linear combining scheme used in non-coherent energy detection receiver for ultra-wideband (UWB) signals. However, due to the nonlinear nature of decision boundary, the EGC results in a suboptimal test statistic. In this paper, we propose a new design for a nonlinear combining energy detector based on Gaussian approximation, in which the energy detect...

An simple analytic model for the light propagation in indoor environments is presented. Ray tracing simulations confirm that the model is applicable to the wireless infrared communication channel in rooms. INTRODUCTION Wireless infrared (IR) communication has attracted much attention during the last years since it is an alternative to radio transmission for high-speed indoor communication. IR s...