Signal propagation in cortical networks: A Digital Signal Processing Approach

Signal Propagation in Cortical Networks: A Digital Signal Processing Approach

This work reports a digital signal processing approach to representing and modeling transmission and combination of signals in cortical networks. The signal dynamics is modeled in terms of diffusion, which allows the information processing undergone between any pair of nodes to be fully characterized in terms of a finite impulse response (FIR) filter. Diffusion without and with time decay are i...

Digital Signal Processing Fundamentals

Recent advances in digital signal processing (DSP) technology make it easier for scientists to develop powerful personal computer-based data acquisition and analysis systems. This application note discusses DSP technology from a hardware, software, and application point of view. The Reduced Instruction Set Computer (RISC) architecture of the Texas Instruments (TI) TMS320C30 chip is used as an e...

Multidimensional Digital Signal Processing

Broadband wireless channels, where high data rates are transmitted, are extremely dispersive in nature. A fundamental challenge in the design of equalizers for the broadband case lies in reducing complexity. Broadband finite impulse response (FIR) beamformers employ a space-time antenna array which reduces the multipath delay spread to narrowband levels. The beamformers should additionally pres...

Soft digital signal processing

In this paper, we propose a framework for low-energy digital signal processing (DSP), where the supply voltage is scaled beyond the critical voltage imposed by the requirement to match the critical path delay to the throughput. This deliberate introduction of input-dependent errors leads to degradation in the algorithmic performance, which is compensated for via algorithmic noise-tolerance (ANT...

Digital Signal Processing Applications