Taneli Haverinen

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In this contribution, we propose a new filtering and denoising technique for one-dimentional signals based on the nonlinear quadratic Teager-Kaiser operator. This technique is a threshold ‘energy’ based approach where outliers are first detected and then replaced by their estimated values. The proposed technique performs better compared to the(More)
This paper focuses on adaptive equalization of binary signals in a baseband digital telecommunication system. Equalization and detection are considered as a classification problem. Fixed-length sequences of received observations form a multidimensional signal space, which can be partitioned using the proposed classification tree algorithm. Top-down approach(More)
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