Floating-point Signal Processor Research Articles

Reference Signal Generator for Active Power Filters Using Improved Adaptive Predictive Filter

The performance of an active power filter (APF) depends on the inverter characteristics, applied control method, and the accuracy of the reference signal generator. The accuracy of the reference generator is the most critical item in determining the performance of APFs. This paper introduces an efficient reference signal generator composed of an improved adaptive predictive filter. The performance of the proposed reference signal generator was first verified through a simulation with MATLAB. Furthermore, the application of feasibility was evaluated through experimenting with a single-phase APF prototype based on the proposed reference generator, which was implemented using the TMS320C31 floating-point signal processor. Both simulations and experimental results confirm that our reference signal generator can be used successfully in practical APFs.

Use of short floating-point formats in audio applications

Use of short floating-point formats that are shorter than the IEEE floating-point standard (ANSI/IEEE S+A 754-1985), 24+8-b, in digital audio applications is studied. The performance of these formats is analyzed in different parts of the digital audio signal processing chain and compared to the performance of widely used fixed-point formats. The statistics of practical audio signals and the characteristics of modern floating-point signal processors are considered in the analysis.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Real-Time Signal Processing in Speech Recognition and Its Potential Use within The Development of Hearing Aids.

Acoustic-Phonetic features necessary for rule-based speech recognition are described. The selection of feature algorithms is based on their robustness to variability of dynamics in speech signals and to influence of environmental noise, and their suitability for real-time implementation using speech production or speech perception modelling. Features are estimated in real-time, using a 32-bit floating point signal processor DSP32. The features described are pitch, formants, segmentation and labelling. The paper indicates the potential use of these features in connection with future experiments leading to development of new hearing aids.

Microcontroller-based architecture for control of a six joint robot arm

A robot arm controller has been developed with a dual emphasis on performance and flexibility. It includes a general-purpose interface for a host microcomputer, and can be configured with up to two floating-point signal processors. The controller responds to high-level control commands from the host, computes the arm trajectory, and corrects motion errors in real-time using Newton-Euler equations. By relieving the host computer of all computational requirements, this controller design permits one host to control multiple robot arms while maintaining maximum performance.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>