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Self-Tuned Predictive LMS Algorithm for Mobile Channel Tracking
White Paper A self tuning implementation is proposed to perform online channel estimator parameter optimization based on gradient descent without any priori fading channel knowledge is proposed. The use of one step Predictive Least... [03 Jul 2008]
True Parallel Processing in Artificial Neural Networks
White Paper In this note an alternative algorithm to the gradient descent used in back-propagation is proposed. The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive... [04 Mar 2008]
Coverage Control for Mobile Sensing Networks: Variations on a Theme
White Paper The paper designs distributed gradient descent algorithms for a class of utility functions which encodes optimal coverage and sensing policies. This paper presents control and coordination algorithms for networks of... [03 Sep 2007]
A Fluid Analysis of a Utility-Based Wireless Scheduling Policy
White Paper In this setting, the paper examines a simple gradient-based scheduling algorithm called the Ú R-rule, which is a type of generalized cµ-rule (Gcµ) that takes into account both a user's channel condition and derived... [31 Aug 2007]
A Fluid Analysis of a Utility-Based Wireless Scheduling Policy
White Paper In this setting, the paper examines a simple gradient-based scheduling algorithm called the Ú R-rule, which is a type of generalized cµ-rule (Gcµ) that takes into account both a user's channel condition and derived... [10 Aug 2007]
GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks
White Paper This paper presents GRAdient Broadcast (GRAB), a new set of mechanisms and protocols which is designed specifically for robust data delivery in face of unreliable nodes and fallible wireless links. Although data... [01 Aug 2007]
Gradient-Driven Target Acquisition in Mobile Wireless Sensor Networks
White Paper This paper proposes and evaluates a novel Gradient Driven method, called GraDrive. Navigation of mobile wireless sensor networks and fast target acquisition without a map are two challenging problems in search and rescue... [20 Jul 2007]
Extending C1Report With Custom Chart and Gradient Fields
White Paper C1Report includes a CustomFields assembly with two custom fields: Chart and Gradient (the full assembly name is C1.Win.C1Report.CustomFields.dll). The 2004 v3 release of ComponentOne Reports for .NET added support for... [05 Jul 2007]
Blind Equalisation and Carrier Offset Compensation for Bluetooth Signals
White Paper A novel stochastic gradient based algorithm for frequency correction is also introduced and assessed. Bluetooth systems operating in medium to large sized rooms can suffer multipath distortion, which may be compounded by... [09 Aug 2005]
ML Estimation and Correction of Frequency Offset for MC-CDMA Systems Over Fading Channels
White Paper Based on the ML principle and the characteristics of the likelihood function, a gradient algorithm is proposed to minimize the frequency offset. MC-CDMA system performance degrades significantly even with frequency... [26 Jul 2005]
Transform Regression and the Kolmogorov Superposition Theorem
White Paper An initial version of the algorithm is presented that combines gradient boosting with decision-tree methods to construct models that have the same overall mathematical structure as Kolmogorov's superposition equation. [12 Apr 2005]
Gradient Flow Registration: A Streaming Implementation in DX9 Graphics Hardware
White Paper The gradient flow registration is a method for correlating this information by successively minimizing an appropriate energy along its gradient. The gradient flow formulation makes use... [04 Oct 2004]
Successive Blind Detection of DS/CDMA Signals
White Paper A simple stochastic gradient algorithm for implementing the scheme is presented and the convergence properties of the algorithms are analyzed. This paper provides an investigation into the performance of a multi-stages... [01 Aug 2004]
The UltraVis System
White Paper It provides perspective raycasting, tri-linear interpolation, on-the-fly classification using look-up tables, gradient shading, four light sources, and alpha blending. This paper describes architecture and implementation... [02 Mar 2004]
Shape Model and Threshold Extraction via Shape Gradients
White Paper The technique introduced is based on the computation of the shape gradient, a numerical value for the difference in shape. The use of this gradient allows us to determine significant shape change events... [25 Feb 2004]
