Dieter Kopp

E-mobility in the context of electric energy distribution grids

Mobility is an important aspect in our daily life and has a deep impact on a multitude of societal factors. For nearly 120 years, we have been heavily relying on fossil energy sources. This trend may not be sustainable in the coming decades due to shortage of resources as well as ambitious goals for environmental protection. In this situation, electric vehicles could play a key role in maintaining our high level of individual mobility. After an introduction briefly depicting the motivation for change, this paper presents a state of the art analysis of the concepts driving increased deployment of electric vehicles. Based on an estimated rollout scenario of electric mobility (e-mobility) in Germany we discuss its impact on the electricity distribution grid. An algorithm for estimating energy demands caused by electric vehicles in time and location is proposed. Movement scenarios are investigated, and key parameters are defined as a baseline for this algorithm.

A high-performance multiprocessor system for speech processing applications

A universal multiprocessor system has been developed for a variety of real-time speech processing applications, including isolated-word and connected-word recognition and medium-bit-rate speech analysis/synthesis. The throughput capability of the system for speech recognition is about 1000 actual word templates in real time. The main advantage of the system is that the same hardware can be used in different areas of man-machine communication; only different software modules have to be downloaded, depending on the application. Therefore, this system can serve as a basic component in future telecommunication services, where voice input/output is required for dialogue control.<<ETX>>

SASP-A digital signal processor system for speech processing applications

A universal, fast digital signal processor system SASP (Speech Analysis Synthesis Processor) has been developed for a diversity of realtime speech processing applications including speech recognition, narrowband coding and speech synthesis. The hardware consists of a Motorola 68000 16-bit microprocessor operating in parallel with several fast arithmetic units tailored to specific signal processing algorithms and an analog I/O unit. The linear prediction coefficients are used as a common feature set for all different speech processing applications.