13 citations · 31 across the 8 of their papers we have counts for
9 papers
On the representation of speech and music
David N. Levin
In most automatic speech recognition (ASR) systems, the audio signal is processed to produce a time series of sensor measurements (e.g., filterbank outputs). This time series encod…
The Inner Structure of Time-Dependent Signals
David N. Levin
This paper shows how a time series of measurements of an evolving system can be processed to create an inner time series that is unaffected by any instantaneous invertible, possibl…
Model-Independent Analytic Nonlinear Blind Source Separation
David N. Levin
Consider a time series of measurements of the state of an evolving system, x(t), where x has two or more components. This paper shows how to perform nonlinear blind source separati…
Nonlinear Blind Source Separation Using Sensor-Independent Signal Representations
David N. Levin
Consider a time series of signal measurements , having components $x_k \mbox{ for } k = 1,2, \ldots ,N$. This paper shows how to determine if these signals are equal to linea…
Performing Nonlinear Blind Source Separation with Signal Invariants
David N. Levin
Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a "source" time series s(t), comprised of statist…
Using state space differential geometry for nonlinear blind source separation
David N. Levin
Given a time series of multicomponent measurements of an evolving stimulus, nonlinear blind source separation (BSS) seeks to find a "source" time series, comprised of statistically…