Now a days, the available radio spectrum is divided between the licensed and unlicensed frequencies. But due to this, some frequency bands get occupied all the time and some are occupied for less time. This is leading to wastage of frequency spectrum. Again, in recent years, there has been huge growth in wireless communication devices and applications. To fulfill this demand of spectrum, we sho...

This report introduces new research on the generalised Marcum Q-Function, and in particular, the probability of detection of a number of incoherently integrated signals in a Gaussian clutter and noise environment. A new probabilistic association is derived, linking this detection probability with a probability associated with two independent Poisson random variables. Additionally, it is shown t...

Target probability has a well-known effect on detection times: Targets that occur with lower probability are detected more slowly than their higher-probability counterparts. A long-standing issue of interest is what causes this effect. In the two experiments of this study, we examined the possibility that the target probability effect has an attentional locus. We report two key findings that ar...

Respiratory disease has been a persistent problem for the recovery of bighorn sheep (Ovis canadensis), but has uncertain etiology. The disease has been attributed to several bacterial pathogens including Mycoplasma ovipneumoniae and Pasteurellaceae pathogens belonging to the Mannheimia, Bibersteinia, and Pasteurella genera. We estimated detection probability for these pathogens using protocols ...

In cognitive radio system, the secondary users can use the frequency bands when the primary users are not present. Therefore, the secondary users need to sense the channel periodically. When the primary users are detected, the secondary users have to stop using that channel. This makes the probability of detection important to the cognitive radio system. However, detection is compromised when a...

Aiming to solve the problems of big combination number of possible events and high memory consumption and low detection efficiency during the detection process of Naive method for multi-probability RFID event streams, a new complex event detection method based on NFA-DAG (Nondeterministic Finite Automaton-Directed Acyclic Graph) is presented for multi-probability RFID event stream in this paper...

This paper deals with the detection of hidden bits in the Least Significant Bit (LSB) plane of a natural image. The mean level and the covariance matrix of the image, considered as a quan tized Gaussian random matrix, are unknown. An adaptive statis tical test is designed such that its probability distribution is always independent of the unknown image parameters, while ensuring a high probabil...

Energy sense of adaptive double threshold joint spectrum perception algorithm using multiple cognitive, and after double threshold for comprehensive judgment, and threshold value with the discretion of the signal to noise ratio (SNR) adaptive adjustment, will eventually each SU decision data fusion center for spectrum using the information, make perception performance effectively improve. In th...

Target detection of RADAR deals with different and manifold problems over few decades. The detection capability is one of the most significant factors in RADAR system. The main aim of detection is to increase probability of detection while decreasing rate of false alarm. The threshold of detection is modified as a function of the receiver noise level to keep a fixed rate of false alarm. Constan...

Sensor networks have been shown to be useful in diverse applications. One of the important applications is the collaborative detection based on multiple sensors to increase the detection performance. To exploit the spectrum vacancies in cognitive radios, we consider the collaborative spectrum sensing by sensor networks in the likelihood ratio test (LRT) frameworks. In the LRT, the sensors make ...