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20212025
most citedOrder Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands

2 citations · 4 across the 11 of their papers we have counts for

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12 papers

eess.SP2025

Closed-Form Least-Squares Design of Fast-Convolution Based Variable-Bandwidth FIR Filters

Oksana Moryakova, Håkan Johansson

This paper introduces a closed-form least-squares (LS) design approach for fast-convolution (FC) based variable-bandwidth (VBW) finite-impulse-response (FIR) filters. The proposed…

eess.SP2025

Efficient Computation of Time-Index Powered Weighted Sums Using Cascaded Accumulators

Deijany Rodriguez Linares, Oksana Moryakova, Håkan Johansson

This letter presents a novel approach for \mbox{efficiently} computing time-index powered weighted sums of the form using cascaded accumulators. Tradi…

eess.SP2025

Reconstruction of Complex Baseband Signals via M-Periodic Nonuniform Bandpass Sampling and Least-Squares Optimal Time-Varying FIR Filters

Hakan Johansson

This paper considers the reconstruction of digital complex baseband signals from M-periodically nonuniformly sampled real bandpass signals. With such a sampling, bandpass signals w…

eess.SP2025

Modeling, Analysis, and Optimization of Cascaded Power Amplifiers

Oksana Moryakova, Thomas Eriksson, Håkan Johansson

This paper deals with modeling, analysis, and optimization of power amplifiers (PAs) placed in a cascaded structure, particularly the effect of cascaded nonlinearities is studied b…

eess.SP2025

Joint Sampling Frequency Offset Estimation and Compensation Based on the Farrow Structure

Deijany Rodriguez Linares, Oksana Moryakova, Håkan Johansson

This paper introduces a sampling frequency offset (SFO) estimation method based on the Farrow structure, which is typically utilized for the SFO compensation and thereby enables a…

eess.SP2025

Digital Linearizer Based on 1-Bit Quantizations

Deijany Rodriguez Linares, Håkan Johansson

This paper introduces a novel low-complexity memoryless linearizer for suppression of distortion in analog frontends. It is based on our recently introduced linearizer which is ins…

eess.SP2024

Low-Complexity Frequency-Dependent Linearizers Based on Parallel Bias-Modulus and Bias-ReLU Operations

Deijany Rodriguez Linares, Håkan Johansson

This paper introduces low-complexity frequency-dependent (memory) linearizers designed to suppress nonlinear distortion in analog-to-digital interfaces. Two different linearizers a…

eess.SP2024★ 1 cited

Efficient Design and Implementation of Fast-Convolution-Based Variable-Bandwidth Filters

Oksana Moryakova, Håkan Johansson

This paper introduces an efficient design approach for a fast-convolution-based variable-bandwidth (VBW) filter. The proposed approach is based on a hybrid of frequency sampling an…

eess.SP2024★ 2 cited

Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands

Deijany Rodriguez Linares, Håkan Johansson, Yinan Wang

This letter considers the design of linear-phase finite-length impulse response (FIR) filters for equalization of the frequency responses of digital-to-analog converters (DACs). Th…

cs.IT2023★ 1 cited

A General Approach to Fully Linearize the Power Amplifiers in mMIMO with Less Complexity

Ganesh Prasad, Håkan Johansson, Rabul Hussain Laskar

A radio frequency (RF) power amplifier (PA) plays an important role to amplify the message signal at higher power to transmit it to a distant receiver. Due to a typical nonlinear b…

cs.NI2023

A Low-Complexity Post-Weighting Predistorter in a mMIMO Transmitter Under Crosstalk

Ganesh Prasad, Håkan Johansson

The beam-oriented digital predistortion (BO-DPD) is not sufficient to linearize the output from a subarray of power amplifiers (PAs) in different directions except the desired dire…

eess.SP2021

SPSA-Based Successive Beamforming for Mobile Satellite Receivers with Phased Arrays

Zheng Chen, Håkan Johansson

Efficient and low-complexity beamforming design is an important element of satellite communication systems with mobile receivers equipped with phased arrays. In this work, we apply…