Recent Patents on Signal Processing (Discontinued) - Volume 4, Issue 1, 2014

Reliable seismic waves characterization is essential for better understanding wave propagation phenomena, providing new physical insight into soil properties. Many works in this area have been based on detecting special patterns or clusters in seismic data, event detection using parametric models, and time-frequency analysis. In this paper we present an approach making use of the short-term time-frequency Rényi entropy Read More

In this paper, we design distributed Turbo Product Codes (TPC) for cooperative communications. Specifically, to improve performance by using multiple relays, we propose Cyclic Interleaver (CI), a novel method for TPC to obtain independent Multiple Vertical Parities (MVP) for different relays. With this method, codewords in different relays are all in the same coding space of the product codes and hence can be jointly decoded. Read More

Biometric systems use automated methods for pattern recognition in determining the authenticity of a specific physiological or behavioral characteristic of an individual to determine or verify identity. In this work, 2D and 3D palmprints are integrated in order to construct an efficient multi-biometric identification system based on matching score level fusion. In this paper, we try to evaluate the usefulness of the 2D and Read More

Intra-coding is the application of spatial prediction coding to video data either on a whole frame basis or on individual macroblocks. This paper outlines the growing sophistication in intra-coding within recent standard codecs, the topic which is primarily relevant to compression for data storage. It then specializes to intra-coding for error resilience and intra-refresh, the topic which is relevant to video streaming applicatio Read More

In automobiles, the brake system is an essential part responsible for control of the vehicle. Any failure in the brake system generates subsequent catastrophic effects on the vehicle cum passenger’s safety. Hence condition monitoring of the brake system is indispensable. This study focuses on the condition monitoring of a hydraulic brake system through vibration analysis. A machine learning approach was used for this vibratio Read More