Blind source separation (BSS), as a digital signal processing approach, focuses on estimating the underlying source signals from their linear mixtures without any prior information about the source signals and mixing ...
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Blind source separation (BSS), as a digital signal processing approach, focuses on estimating the underlying source signals from their linear mixtures without any prior information about the source signals and mixing matrix. Conventional methods for the BSS, however, are incapable of separating the complex-valued source signals. By leveraging the negative conjugate gradient to minimize the leastmean square error reconstruction (LMSER) principle in complex domain, this paper proposes a collection of least-squaresalgorithms for complex-valued BSS (CBSS), including least-mean square (LMS)-type algorithms and recursive least-squares (RLS)-type algorithms. We demonstrate the availability of the proposed algorithms in both circular and non-circular source signals separation. Especially, the RLS algorithm for the CBSS without prewhitening is superior in cross-talking criterion to the others, as verified by computer simulations on artificial source signals.
Proposed is a symbol-based decision-directed algorithm for blind equalisation of quadrature amplitude modulation (QAM) signals using a decision feedback scheme. Independently of QAM order, it presents: (i) an error eq...
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Proposed is a symbol-based decision-directed algorithm for blind equalisation of quadrature amplitude modulation (QAM) signals using a decision feedback scheme. Independently of QAM order, it presents: (i) an error equal to zero when the equaliser output coincides with the transmitted signal;(ii) simultaneous recovery of the modulus and phase of the signal;(iii) a misadjustment close to that of the normalised least-mean squares algorithm;(iv) fast convergence;and (v) the avoidance of degenerative solutions. Additionally, its stability is ensured when the step-size is properly chosen.
A digital background calibration technique for a pipelined analogue-to-digital converter (ADC) is presented. The calibration technique involves the use of a slow, but accurate, ADC in conjunction with a least-mean squ...
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A digital background calibration technique for a pipelined analogue-to-digital converter (ADC) is presented. The calibration technique involves the use of a slow, but accurate, ADC in conjunction with a least-meansquares (LMS) algorithm to iind the parameters, which correct for residue errors such as finite op-amp gain error, capacitor ratio mismatch and charge injection error in a non-ideal pipeline stage, resulting in a significant improvement in the INL and the DNL of the ADC.
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