Array Signal Processing: Concepts and Techniques
- Don H. Johnson, D. Dudgeon
- Geology
- 11 February 1993
This chapter discusses how signals in Space and Time and apertures and Arrays affect Array Processing and the role that symbols play in this processing.
Sparse Coding via Thresholding and Local Competition in Neural Circuits
- C. Rozell, Don H. Johnson, Richard Baraniuk, B. Olshausen
- Computer Science, BiologyNeural Computation
- 1 October 2008
A locally competitive algorithm (LCA) is described that solves a collection of sparse coding principles minimizing a weighted combination of mean-squared error and a coefficient cost function to produce coefficients with sparsity levels comparable to the most popular centralized sparse coding algorithms while being readily suited for neural implementation.
Statistical Signal Processing
- Don H. Johnson
- Computer ScienceEncyclopedia of Biometrics
- 2009
An understanding of the convergence and synchronization of statistical signal processing algorithms in continuous time is developed, and an understanding of linear and nonlinear circuits for analog memory is explored, and the “soft-multiplexer” is proposed.
Gauss and the history of the fast Fourier transform
- M. Heideman, Don H. Johnson, C. Burrus
- Computer ScienceIEEE ASSP Magazine
- 1 October 1984
The algorithm developed by Cooley and Tukey clearly had its roots in, though perhaps not a direct influence from, the early twentieth century, and remains the most Widely used method of computing Fourier transforms.
Point process models of single-neuron discharges
- Don H. Johnson
- BiologyJournal of Computational Neuroscience
- 1 December 1996
The fundamental limits on how well information can be represented by and extracted from neural discharges are described, which are illustrated by considering recordings from the lower auditory pathway.
Symmetrizing the Kullback-Leibler Distance
- Don H. Johnson, S. Sinanovic
- Computer Science
- 20 March 2001
A new distance measure the resistor-average distance between two probability distributions that is closely related to the Kullback-Leibler distance is defined and its relation to well-known distance measures is determined.
Information-Theoretic Analysis of Neural Coding
- Don H. Johnson, C. M. Gruner, K. Baggerly, C. Seshagiri
- Computer ScienceProceedings of the IEEE International Conference…
- 12 May 1998
These examples illustrate that neurons can simultaneously represent at least two kinds of information with different levels of fidelity, indicating that it is possible for an evolving neural code to represent information with constant fidelity.
Signal-to-noise ratio
- Don H. Johnson
- Computer ScienceScholarpedia
- 2 December 2006
Discrete representation of signals
- A. Oppenheim, Don H. Johnson
- Computer Science
- 1 June 1972
The requirements for digital sequences by other digital sequences and the use of such representations to implement a nonlinear warping of the digital frequency axis are discussed within the framework of simulating linear time-invariant systems.
All-optical nanoscale pH meter.
- S. Bishnoi, C. Rozell, N. Halas
- PhysicsNano letters (Print)
- 28 June 2006
We show that an Au nanoshell with a pH-sensitive molecular adsorbate functions as a standalone, all-optical nanoscale pH meter that monitors its local environment through the pH-dependent…
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