Game and graphics processors are increasingly utilized for scientific computing applications and for signal processing in particular. This paper addresses the issue of efficiently mapping high-dimensional array operations for signal processing algorithms onto such computing platforms. Algorithms for fast Fourier transforms and convolutions are essential to many signal processing applications. S...

Our long-term scientific goal is to understand the basic physics of low-frequency long-range sound propagation in the ocean and the effects of environmental variability on signal stability and coherence. We seek to understand the fundamental limits to signal processing imposed by ocean variability to enable advanced signal processing techniques, including matched field processing and other adap...

Our long-term scientific goal is to understand the basic physics of low-frequency long-range sound propagation in the ocean and the effects of environmental variability on signal stability and coherence. We seek to understand the fundamental limits to signal processing imposed by ocean variability to enable advanced signal processing techniques, including matched field processing and other adap...

We present a new microphone array calibration algorithm specifically designed for speech recognition. Currently, microphone-array-based speech recognition is performed in two independent stages: array processing, and then recognition. Array processing algorithms designed for speech enhancement are used to process the waveforms before recognition. These systems make the assumption that the best ...

The use of wideband active sonar array processing to estimate the range, velocity and bearing of a target has received much interest in the literature recently. Although increased attention has been focused on wideband correlation processing for estimating range and velocity, array directivity patterns are almost always computed and interpreted under the narrowband signal assumption. This paper...

The goal of this work is to fabricate robust, miniature, wireless sensor modules. These provide an enabling technology platform to conduct research in creating ambient systems, through implementing wireless sensor network applications. The approach taken is to partition the wireless sensor module into a series of layers with area 25mm x 25mm. This modular approach has resulted in the specificat...

Design alternatives for DSP solutions As a designer of Digital Signal Processing systems, you have a large number of choices to implement your solution. Each solution has its strengths and weaknesses. The purpose of this chapter is to introduce Xilinx Field Programmable Gate Array (FPGA) technology and help you understand how FPGAs can be used for DSP system implementation. In the following sec...

Modern signal and array processing methods now incorporate the physics of wave propagation as an integral part of the processing. Matched field processing (MFP) refers to signal and array processing techniques in which, rather than a plane wave arrival model, complex-valued (amplitude and phase) field predictions for propagating signals are used. Matched field processing has been successfully a...

uniform linear array (ula)-based tapped-delay line (tdl) structure has good performance metrics when the signal sources are located at the middle angles. it offers poor performance when the signal sources are close to the array endfire. in this paper, a new approach is proposed which offers higher performance and desired beamforming on tdl structure when the wideband uncorrelated radio sources ...

Space Time Adaptive Processing (STAP) applied on signal received from different configurations of real elements using D3LS (Direct Data Domain Least Squares). We will discuss the impact of each typical element-missing on the performance of this approach and the precision of the estimated strength of the SOI. We are interested in five different antenna configurations which are uniform linear equ...