7 papers
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…
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…
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…
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…
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…
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…