Low-overhead Communications in IoT Networks
Structured Signal Processing Approaches
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252 Result(s)
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Computer Systems Organization and Communication Networks
Engineering, general
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Chapter
Conclusions and Discussions
This chapter concludes the monograph. A summary is first provided for the main results of each chapter, and two reference tables are provided that contain the main analytical results and algorithms. Furthermor...
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Chapter
Sparse Linear Model
In this chapter, a sparse linear model for joint activity detection and channel estimation in IoT networks is introduced. We present the problem formulation for both the cases of single-antenna and multiple-an...
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Chapter
Sparse Blind Demixing
This chapter extends the models presented in Chaps. 2 and 3 to the scenario involving device activity detection. The new setting induces a sparse blind demixing model for develo** methods for joint device...
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Chapter
Learning Augmented Methods
In this chapter, we introduce some cutting-edge learning augmented techniques to enhance the performance of structured signal processing. We start with compressed sensing under a generative prior, which can be...
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Chapter
Appendix
In this chapter, several basic concepts of conic integral geometry theory are introduced. We begin with the kinematic formula for cones which is the probability that a randomly rotated convex cone shares a ray...
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Book
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Chapter
Introduction
This chapter presents a background on low-overhead communications in IoT networks and structured signal processing. It starts with introducing three key techniques for low-overhead communications: grant-free r...
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Chapter
Blind Demixing
This chapter presents a blind demixing model for joint data decoding and channel estimation in IoT networks, without transmitting pilot sequences. The problem formulation based on the cyclic convolution in the...
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Chapter
Shuffled Linear Regression
In this chapter, we shall introduce a shuffled linear regression model for joint data decoding and device identification in IoT networks. It is first formulated as a maximum likelihood estimation (MLE) problem...
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Chapter
Introduction
What do we already know about computer-generated animation? When Frozen (USA, 2013) or The Lego Movie (Australia, 2014) gain wide-spread acclaim, and publicity surrounding their success sparks various debates (ab...
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Chapter
Software and the Moving Image: Back to the Screen
Introducing an innovative approach to digital images, Wood explores what software tells us about moving images. Her discussion starts with the logic of realism informing representational spaces in many moving ...
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Book
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Chapter
Getting to Know Software: A Study of Autodesk Maya
Drawing on software studies, Wood offers an original methodology for approaching software by analysing the user interface of the 3-D animation software Autodesk Maya in the context of its paratexts. This entai...
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Chapter
Conclusion
Knowing more about software involves knowing not just what it does, but also how people use it, think about it as well as through it, when they construct digital things. As digital technologies continue to dev...
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Chapter and Conference Paper
Prediction of Thermal Deformation for a Ball Screw System Under Composite Operating Conditions
The position error of a feed drive system is mostly caused by thermal deformation of a ball screw shaft. A high-speed ball screw system can generate massive heat with greater thermal expansion produced, and co...
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Chapter and Conference Paper
An ANFIS Based Approach for Prediction of Threshold Voltage Degradation in Nanoscale DG MOSFET Devices
Nowadays, the tremendous shrinking of electronic devices has reduced their sizes to very low scales. However, this process has been accompanied unavoidably with many well-recognized reliability challenges basi...
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Chapter and Conference Paper
Optimum Parameters for Machining Metal Matrix Composite
The need for optimum machining parameters has always been of paramount importance for metal cutting. The economics of the process largely depends on selecting the best machining parameters. However, the additi...
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Chapter and Conference Paper
A Probabilistic Method for Optimal Power Systems Planning with Wind Generators
Radial Distribution Systems (RDS) connect a large number of renewable generators that are inherently uncertain. From being unidirectional power flow systems, RDS now enable bi-directional power flow. Depending...
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Chapter and Conference Paper
Fabrication of Real-Time Wireless Sensing System for Flexible Glucose Biosensor
In this study, the wireless sensor network (WSN) with Zigbee technique is integrated with the flexible glucose biosensor. The wireless sensing system is accomplished by the graphical language laboratory virtua...
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Chapter and Conference Paper
Active Vibration Isolation Via Nonlinear Velocity Time-Delayed Feedback
This paper combines cubic nonlinearity and time delay to improve the performance of vibration isolation. By the multi-scale perturbation method, the average autonomous equations are first found to analyse loca...
