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Scalable Network Monitoring in High Speed Networks
Network monitoring serves as basis for a wide scope of network operations, engineering
and management. Precise network monitoring involves inspecting every
packet traversing in a network. However, this is infeasible in today’s and future
high-speed networks, due to significant overheads of processing, storing, and transferring... | | Signal Processing for Wireless CommunicationsMaster the Signal Processing Concepts and Techniques Needed to Design and Operate Any Wireless Communications Network
Signal Processing for Wireless Communications offers communications engineers an application-focused guide to the essential concepts and techniques of wireless signal processing. This comprehensive... | | Smoothing Spline ANOVA Models (Springer Series in Statistics)
Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of... |
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Multidimensional Signal, Image, and Video Processing and Coding, Second Edition
This is a textbook for a first- or second-year graduate course for electrical and computer
engineering (ECE) students in the area of digital image and video processing
and coding. The course might be called Digital Image and Video Processing (DIVP)
or some such, and has its heritage in the signal processing and communications areas
of... | | Practical OpenCV
Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.
Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you... | | Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with... |
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