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In this paper, a novel quaternion adaptive filtering algorithm is proposed for a unified processing of 3D and 4D data, called quaternion least mean kurtosis (QLMK) algorithm. Multi-dimensional signals exhibit a complex nonlinear relationship and couple among different components. Considering that quaternion has huge advantage in terms of the representation of 3D and 4D signal, quaternion algebra is...
In this paper, we investigate the convergence performance of a sparsified kernel least mean square (KLMS) algorithm in which the input is added into the dictionary only when the prediction error in amplitude is larger than a preset threshold. Under certain conditions, we derive an approximate value of the steady-state excess mean square error (EMSE). Simulation results confirm the theoretical predictions...
Blind source separation (BSS) methods become more attractive targets in neural network and signal processing literature recently. And independent component analysis (ICA) methods are one kind of widely used and important solutions to blind source separation problems. Whitening is a very useful preparation step for blind separation of source and meanwhile non-linear decorrelation acts as a basic estimation...
I/Q signal processing is widely used in radio receivers such as zero-IF and low-IF receivers for digital communications and spectrum monitoring and so on. However, all of these receivers share the common problem of the imbalance (or mismatch) on the amplitude and phases of the I and Q branches, which is unavoidable in the analog front-end of those receivers. In this paper, we propose a simplified...
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