Publications
Evaluation of Boeing 747-400 performance during ATC-directed breakouts on final approach
Summary
Summary
The effects of three different levels of pilot training on the breakout response of pilots and the Boeing 747-400 aircraft were studied. The study examined response during ATC-directed breakouts on final approach and was conducted in three phases. Phase 1 tested performance during manual and autopilot-coupled approaches given current procedures...
Audio signal processing based on sinusoidal analysis/synthesis
Summary
Summary
Based on a sinusoidal model, an analysis/synthesis technique is developed that characterizes audio signals, such as speech and music, in terms of the amplitudes, frequencies, and phases of the component sine waves. These parameters are estimated by applying a peak-picking algorithm to the short-time Fourier transform of the input waveform...
The Lincoln Near-Earth Asteroid Research (LINEAR) Program
Summary
Summary
Lincoln Laboratory has been developing electro-optical space-surveillance technology to detect, characterize, and catalog satellites for more than forty years. Recent advances in highly sensitive, large-format charge-coupled devices (CCDs) allow this technology to be applied to detecting and cataloging asteroids, including near-Earth objects (NEOs). When equipped with a new Lincoln Laboratory...
The effects of compression-induced distortion of graphical weather images on pilot perception, acceptance, and performance
Summary
Summary
The Graphical Weather Service (GWS) is a data link application that will provide near-real-time graphical weather information to pilots in flight. To assess the effect GWS, as well as to aid in the proper design, implementation and certification of the use of GWS in aircraft, two human factors studies have...
High-performance low-complexity wordspotting using neural networks
Summary
Summary
A high-performance low-complexity neural network wordspotter was developed using radial basis function (RBF) neural networks in a hidden Markov model (HMM) framework. Two new complementary approaches substantially improve performance on the talker independent Switchboard corpus. Figure of Merit (FOM) training adapts wordspotter parameters to directly improve the FOM performance metric...
The Weather-Huffman method of data compression of weather images
Summary
Summary
Providing an accurate picture of the weather conditions in the pilot's area of interest is a highly useful application for ground-to-air datalinks. The problem with using data links to transmit weather graphics is the large number of bits required to exactly specify the weather image. To make transmission of weather...
Noise reduction based on spectral change
Summary
Summary
A noise reduction algorithm is designed for the aural enhancement of short-duration wideband signals. The signal of interest contains components possibly only a few milliseconds in duration and corrupted by nonstationary noise background. The essence of the enhancement technique is a Weiner filter that uses a desired signal spectrum whose...
Soft-x-ray CCD imagers for AXAF
Summary
Summary
We describe the key features and performance data of a 1024 x 1026-pixel frame-transfer imager for use as a soft-x-ray detector on the NASA X-ray observatory Advanced X-ray Astrophysics Facility (AXAF). The four-port device features a floating-diffusion output circuit with a responsivity of 20/spl mu/V/e/sup -/ and noise of about...
Comparison of background normalization methods for text-independent speaker verification
Summary
Summary
This paper compares two approaches to background model representation for a text-independent speaker verification task using Gaussian mixture models. We compare speaker-dependent background speaker sets to the use of a universal, speaker-independent background model (UBM). For the UBM, we describe how Bayesian adaptation can be used to derive claimant speaker...
Predicting, diagnosing, and improving automatic language identification performance
Summary
Summary
Language-identification (LID) techniques that use multiple single-language phoneme recognizers followed by n-gram language models have consistently yielded top performance at NIST evaluations. In our study of such systems, we have recently cut our LID error rate by modeling the output of n-gram language models more carefully. Additionally, we are now...