Digital filtering and signal processing

Fuzzy Digital Filtering: Signal Interpretation

The paper makes a description of the fuzzy filter properties considering its operational principles. A digital filter interacts with a reference model signal into real process in order to get the best corresponding answer, having the minimum error at the filter output using the mean square criterion. Adding into this filter structure a fuzzy mechanism, to obtain an intelligent filtering because...

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