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JSIP is an international refereed journal dedicated to the latest advancements in signal and information processing. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in the areas. This journal invites original research and review papers that address the follow…
Teruki Horie, Masato Uchida, Yasuo Matsuyama
In this paper, we present machine learning algorithms and systems for similar video retrieval. Here, the query is itself a video. For the similarity measurement, exemplars, or representative frames in each video, are extracted by unsupervised learning. For th…
John N. Spitzmiller
This paper derives a mathematical description of the complex stretch processor’s response to bandlimited Gaussian noise having arbitrary center frequency and bandwidth. The description of the complex stretch processor’s random output comprises highly accurate…
Behrooz Oskooi, Amin Ebrahimi Bardar, Alireza Goodarzi
Geophysics has played a significant and efficient role in studying geological structures over the past decades as the goal of geophysical data acquisition is to investigate underground phenomena with the highest possible level of accuracy. The ground penetrat…
Osvaldo Faggioni, Maurizio Soldani, Giacomo Cozzani, Rodolfo Zunino
The paper tackles the problem of reading singularities of the geomagnetic field in noisy underwater (UW) environments. In particular, we propose a novel metrological approach to measuring low-amplitude geomagnetic signals in hard noisy magnetic environments.…
Hassan Al-Wahshat, Mohammed Al-Maitah, Takialddin Al-Smadi
The constant growth of the number of Internet users places new demands on the bandwidth of modern communication. The World Wide Web has led to the emergence of various types of traffic, Graphics information, voice data, as well as various video applications d…
Ferdinando Di Martino, Salvatore Sessa, Irina Perfilieva
In this paper, we present a new image compression method based on the direct and inverse F1-transform, a generalization of the concept of fuzzy transform. Under weak compression rates, this method improves the quality of the images with respect to the classic…
Manaram Gnanasekera, Hansi K. Abeynanda
Detecting occluded objects is a crucial exercise in many spheres of application. For example in Strafing (attacking ground targets from low flying aircrafts) or vehicular tracking, continuous detection of the object even when it is occluded by another object…
Hang Qin, Li Zhu
With the speed gap between storage system access and processor computing, end-to-end data processing has become a bottleneck to improve the total performance of computer systems over the Internet. Based on the analysis of data processing behavior, an adaptive…
Azra Kapetanovic, Mohamed A. Zohdy, Redhwan Mawari
Optimizing the estimates of received power signals is important as it can improve the process of transferring an active call from one base station in a cellular network to another base station without any interruptions to the call. The lack of effective techn…
Xin Zhang, Thomas Gonnot, Jafar Saniie
This paper provides efficient and robust algorithms for real-time face detection and recognition in complex backgrounds. The algorithms are implemented using a series of signal processing methods including Ada Boost, cascade classifier, Local Binary Pattern (…
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JSIP is an international refereed journal dedicated to the latest advancements in signal and information processing. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in the areas. This journal invites original research and review papers that address the follow… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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