Publications
Terminal Doppler weather radar/low-level wind shear alert system integration algorithm specification, version 1.1
Summary
Summary
There will be a number of airports that receive both a Terminal Doppler Weather Radar (TDWR) windshear detection system and a phase III Low-Level Wind Shear Alert System (LLWAS). At those airports, the two systems will need to he combined into a single windshear detection system. This report specifies the...
Improved hidden Markov model speech recognition using radial basis function networks
Summary
Summary
A high performance speaker-independent isolated-word hybrid speech recognizer was developed which combines Hidden Markov Models (HMMs) and Radial Basis Function (RBF) neural networks. In recognition experiments using a speaker-independent E-set database, the hybrid recognizer had an error rate of 11.5% compared to 15.7% for the robust unimodal Gaussian HMM recognizer...
Neural network classifiers estimate Bayesian a posteriori probabilities
Summary
Summary
Many neural network classifiers provide outputs which estimate Bayesian a posteriori probabilities. When the estimation is accurate, network outputs can be treated as probabilities and sum to one. Simple proofs show that Bayesian probabilities are estimated when desired network outputs are 1 of M (one output unity, all others zero)...
Air-to-air visual acquisition handbook
Summary
Summary
The document describes a set of computer programs that provide a practical means for predicting air-to-air visual acquisition performance for aircraft on collision courses. The programs are based upon a mathematical model of pilot visual acquisition performance. Guidelines are provided for selecting model parameters based upon previously collected flight test...
Unalerted air-to-air visual acquisition
Summary
Summary
A series of flight tests were flown to measure pilot air-to-air visual acquisition performance for pilots employing unalerted visual search. Twenty-four general aviation subject pilots flew a cross-country route while an intercepting aircraft was controlled to produce three intercepts with altitude separation of 500 feet. Pilots received no traffic advisory...
Terminal Doppler Weather Radar test bed operation, Orlando, January - June 1990
Summary
Summary
This semiannual report for the Terminal Doppler Weather Radar program, sponsored by the Federal Aviation Administration (FAA), covers the period from 1 January 1990 through 30 June 1990. The principal activity of this period was the transport and reassembly of the FL-2 weather radar test site from Kansas City, MO...
Opportunities for advanced speech processing in military computer-based systems
Summary
Summary
This paper presents a study of military applications of advanced speech processing technology which includes three major elements: 1) review and assessment of current efforts in military applications of speech technology; 2) identification of opportunities for future military applications of advanced speech technology; and 3) identification of problem areas where...
Role of FAA/NWS terminal weather sensors and terminal air traffic automation in providing a vortex advisory service
Summary
Summary
The Federal Aviation Administration (FAA) is developing a number of terminal weather sensors and a terminal weather information system which can make important contributions toward an operational wake vortex advisory service. Although these systems have been developed to meet other important weather information needs, their existence/development offers the possibility of...
Analysis of the Terminal Doppler Weather Radar algorithm for detecting rotation associated with microbursts
Summary
Summary
Rotating winds aloft occurring with downdrafts often are associated with microbursts, which are serious aviation hazards. The Terminal Doppler Weather Radar system detects microbursts and warns pilots of windshear events, partly by its use of rotation as precursors. The role of the rotation region detection algorithm in this system is...
Low-rate speech coding based on the sinusoidal model
Summary
Summary
One approach to the problem of representation of speech signals is to use the speech production model in which speech is viewed as the result of passing a glottal excitation waveform through a time-varying linear filter that models the resonant characteristics of the vocal tract. In many applications it suffices...