Showing 3457–3468 of 3871 results
Sparsity-Aware Affine Projection Adaptive Algorithms for System Identification Abstract-In the first place, propose adaptive algorithms for system identification of sparse systems. We introduce a L1- norm penalty to improve the performance of affine projection algorithms. This strategy results in two new algorithms, the zeroattracting APA (ZA-APA) and the reweighted zero-attracting AP (RZA-APA). The ZA-APA is…
Spatial Entropy-Based Global and Local Image Contrast Enhancement Abstract?Spatial Entropy-Based Global and Local Image Contrast Enhancement. This paper proposes a novel algorithm, which enhances the contrast of an input image using spatial information of pixels. The algorithm introduces a new method to compute the spatial entropy of pixels using spatial distribution of pixel gray levels….
Spatial Query Integrity with Voronoi Neighbors Abstract? Spatial Query Integrity with Voronoi Neighbors. With the popularity of location-based services and the abundant usage of smart phones and GPS-enabled devices, the necessity of outsourcing spatial data has grown rapidly over the past few years. Meanwhile, the fast arising trend of cloud storage and cloud computing services…
Spatially Aware Term Selection For Geo Tagging Abstract?Spatially Aware Term Selection For Geo Tagging. The task of assigning geographic coordinates to textual resources plays an increasingly central role in geographic information retrieval. The ability to select those terms from a given collection < Final Year Projects > that are most indicative of geographic location is…
Spatially Coherent Fuzzy Clustering for Accurate and Noise-Robust Image Segmentation Abstract? Spatially Coherent Fuzzy Clustering for Accurate and Noise-Robust Image Segmentation. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″…
Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition Abstract?Data-level fusion is believed to have the potential for enhancing human face recognition. However, due to a number of challenges, current techniques have failed to achieve its full potential. We propose spatially optimized data/pixel-level fusion of 3-D shape and texture for face recognition….
Spatiotemporal Data Gathering Based on Compressive Sensing in WSNs Abstract-In wireless sensor networks (WSNs), sensor readings have spatiotemporal correlation, and wireless links are unreliable. To balance the energy-performance trade-off and reduce the impact of packet loss, a novel approach is proposed that combines Kronecker compressed sensing (KCS) and cluster topology to exploit spatial and temporal…
Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart Abstract? Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart. A novel saliency detection algorithm for video sequences based on the random walk with restart RWR < Final Year Projects 2016 > is proposed in this paper. We adopt RWR…
Spectrally Precoded OFDM Without Guard Insertion Abstract? Orthogonal frequency-division multiplexing (OFDM) signaling format is commonly associated with guard subintervals to reject interblock interference (IBI) and enable simple onetap frequency-domain equalization (FDE) at the receiver when received over dispersive channels. Despite the advantages, the insertion of guard subintervals expands the signal spectrum and thus trades off…
Spectrum Efficiency Improvement for Quasi-Constant Envelope OFDM Abstract-Benefiting from low peak-to-average power ratio (PAPR), constant envelope OFDM (CE-OFDM) is a promising technique in coherent optical communication. However, the spectrum efficiency of CE-OFDM is only half of conventional coherent optical OFDM, which restricts its application. We proposed a novel quasi-constant envelope OFDM (Quasi-CE-OFDM) scheme with in-phase/quadrature…
Spectrum Sensing Performance in Cognitive Radio Networks With Multiple Primary Users Abstract? Radio spectrum sensing (SS) has been an active topic of research over the past years due to its importance to cognitive radio (CR) systems. However, in CR networks (CRNs) with multiple primary users (PUs), the secondary users (SUs) can often detect PUs that…
Spectrum-Aware Anypath Routing in Multi-Hop Cognitive Radio Networks Abstract– Cognitive radio networks (CRNs) have been emerging as a promising technique to improve the spectrum efficiency of wireless and mobile networks, which form spectrum clouds to provide services for unlicensed users. As spectrum clouds, the performance of multi-hop CRNs heavily depends on the routing protocol. In…
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Prediction of Heart Disease Using Machine Learning Algorithms
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Relevance Feature Discovery for Text Mining
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Steganography Based Content Retrieval in Cloud Computing
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Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data
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A Key-Policy Attribute-Based Temporary Keyword Search Scheme for Secure Cloud Storage
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