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Drucker, Harris (1943-2024)

 Person

Dates

  • Existence: 1943-07-28 - 2024-01-10

Found in 4 Collections and/or Records:

A backpropagation scheme with and without boosting, 1999

 Item — Call number MU Thesis Pro
Identifier: b2088058
Abstract Neural networks, simply stated, are machines that learn. A neural network consisting of several neurons, which are modeled after the human brain, uses synaptic weights, or interneuron connection strengths, to store acquired knowledge, which can be used in the future. One form of neural networks, feedforward networks, uses multilayer perceptrons, which are layered sets of neurons. This type of network contains an input layer, one or more hidden layers, and an output layer. Further, these...
Dates: 1999

Self similar traffic generation by method of Random Midpoint Displacement Algorithm (RMDA), 2002

 Item — Call number MU Thesis Huf
Identifier: b2089935
Abstract This paper explores an algorithmic means for simulating self-similar data traffic, which can be used to model broadband networks. The aim of this work is to create a traffic generator tool that generates stochastic self-similar traffic using a fast simulation technique known as Random Midpoint Displacement Algorithm (RMDA). Finally, the output of the RMDA traffic generator is evaluated for accuracy by using the Varience of Residuals method to compare the Hurst estimates to the actual...
Dates: 2002

Study and simulation of PLL carrier recovery techniques, 1999

 Item — Call number MU Thesis DiP
Identifier: b2088065
Abstract In the implementation of the wireless demodulator, numerous techniques exist to recover a carrier from the received signal. The selection of an appropriate recovery method depends on several conditions, among which are modulation type, acquisition time, tracking performance and the expected noise environment. This project first presents a discussion on the fundamental question of communications systems and includes sections on the transmitter, channel, and receiver. Receiver...
Dates: 1999

Three Simulink models of common communication channels, 1998

 Item — Call number MU Thesis May
Identifier: b2087776
Abstract Realistic simulation is an essential step in the development and testing of communications systems. Toward that end, it is essential to create an accurate model of the operating environment as well as the system components. This report details the derivation and creation of three such models developed for use with Simulink, the graphical user interface for Matlab (The Math Works, Inc.). The models simulated are (1) an Unshielded Twisted Pair (UTP) Cable Communications Channel, (2)...
Dates: 1998