Showing papers by "V. Jagadeesh Kumar published in 1996"
TL;DR: A microcontroller based scheme for LCR measurement using a non conventional ac bridge and a Multiplier type Digital to Analog Converter, controlled by a microcontroller, serves as the other two arms.
5 citations
23 Sep 1996
TL;DR: The wave energy group at the Indian Institute of Technology, Madras, India, in coordination with the National Institute of Ocean Technology (NIT), Madras has successfully installed a pilot wave energy plant of the oscillating water column (OWC) type, at Vizhinjam, on the west coast of India.
Abstract: The wave energy group at the Indian Institute of Technology, Madras, India, in coordination with the National Institute of Ocean Technology, Madras has successfully installed a pilot wave energy plant of the oscillating water column (OWC) type, at Vizhinjam, on the west coast of India. The wave energy plant (WEP) consists of a concrete caisson OWC pneumatically driving a Wells type turbine. The turbine is mechanically coupled to an induction generator (IG). The stator of the IG is connected to the electrical grid of the Kerata State Electricity Board. This paper describes the control instrumentation and data acquisition aspects of the WEP. Simple data collected on the power module are also provided in the form of graphs.
2 citations
01 Jan 1996
TL;DR: This chapter proposes a new pole zero order determination procedure for electrocardiogram (ECG) signals based on the singular value decomposition of the reduced rank approximation of the data matrix obtained by linear filtering of the discrete cosine transform coefficients of the ECG signal.
Abstract: Publisher Summary Modeling a general signal with a fixed order rational function is possible only when the original signal happens to be representable as a linear combination of p exponentials This representation in terms of damped sinusoids is valid for only those signals which possess the minimum phase property This chapter proposes a new pole zero order determination procedure for electrocardiogram (ECG) signals The method is based on the singular value decomposition of the reduced rank approximation of the data matrix obtained by linear filtering of the discrete cosine transform (DCT) coefficients of the ECG signal The energy characteristics of the reduced rank components are found to be highly order dependent This chapter makes use of this property to identify the order of the underlying model The normalized mean square error (NMSE) of the waveforms reconstructed with the orders estimated using the proposed method are found to be lower than those obtained using statistical methods such as the AIC