Now showing items 1-5 of 5
Optimal digital communication of analog signals
In this paper, the problem of optimally communicating analog sources using a bandwidth and power limited digital system is considered. We propose and analyze optimal combined source-channel coding schemes that jointly ...
Analysis of noise reduction in redundant expansions under distributed processing requirements
We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing ...
Modeling wireless sensor and actuator networks using frame theory
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuator network, it is advantageous to determine ...
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
Sensorineural systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the system more robust to corruption in the ...
Examining methods for estimating mutual information in spiking neural systems
Mutual information enjoys wide use in the computational neuroscience community for analyzing spiking neural systems. Its direct calculation is difficult because estimating the joint stimulus-response distribution requires ...