Taneli Haverinen

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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)
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)
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