Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ivar Løkken is active.

Publication


Featured researches published by Ivar Løkken.


IEEE Transactions on Circuits and Systems Ii-express Briefs | 2006

Quantizer Nonoverload Criteria in Sigma–Delta Modulators

Ivar Løkken; Anders Vinje; Trond Sather; Bjrnar Hernes

A simple method to guarantee absolute stability in multibit sigma-delta modulators (SDMs) is to ensure that the quantizer never overloads. This applies to any SDM. Derivation of the requirements for nonoverload have previously been shown for different types of modulators; the sigma-delta or output-feedback modulator with rounding quantizer as well as the error-feedback modulator using truncation. Here, these nonoverload requirements will be clarified and a unified formulation is presented that is not limited with regard to modulator topology or quantizer function


norchip | 2009

High-level continuous-time sigma delta design in Matlab/Simulink

Rune Kaald; Ivar Løkken; Bjornar Hernes; Trond Sæther

This paper presents a framework for behavioral simulations of continuous time delta-sigma modulators (CTSD) developed in Matlab/Simulink. Error sources in CTSD designs are reviewed and it is explained how sub-module specifications can be derived from a system-level target performance. The paper also discusses considerations of importance when using Simulink for CTSD modelling, like the choice of solver and simulation speed optimization. An example CTSD design is used throughout to illustrate the results and error models.


custom integrated circuits conference | 2013

A 500 MS/s 76dB SNDR continuous time delta sigma modulator with 10MHz signal bandwidth in 0.18μm CMOS

Rune Kaald; Bjornar Hernes; Christian Holdo; Frode Telsto; Ivar Løkken

A 5th order continuous time delta sigma modulator is designed in 0.18μm CMOS. At a sampling rate of 500MHz it achieves 76dB SNDR over a 10MHz bandwidth consuming 58mW. 5th order noiseshaping is realized with 4 opamp based RC integrators and a VCO realizing an integrator and a 4 bit quantizer. A THD of -82.3dBc is achieved without calibration of feedback DACs. A high speed capacitive implementation of excess loop delay compensation, together with a method for reducing the switching activity of the output codes from the VCO are proposed.


Archive | 2010

CALIBRATION SCHEME FOR ANALOG-TO-DIGITAL CONVERTER

Ivar Løkken; Oystein Moldsvor; Bjornar Hernes


Journal of The Audio Engineering Society | 2006

Noise Power Modulation in Dithered and Undithered High-Order Sigma-Delta Modulators

Ivar Løkken; Anders Vinje; Trond Sæther


Analog Integrated Circuits and Signal Processing | 2010

Review and advances in delta-sigma DAC error estimation based on additive noise modelling

Ivar Løkken; Anders Vinje; Bjornar Hernes; Trond Sæther


Archive | 2008

Error Estimation in Delta-Sigma DA-Converters

Ivar Løkken; Anders Vinje; Bjornar Hernes; Trond Sæther


Journal of The Audio Engineering Society | 2008

Delta-Sigma DAC Topologies for Improved Jitter Performance

Ivar Løkken; Trond Sæther; Anders Vinje


124th Convention of the Audio Eng. Soc. | 2008

Delta-Sigma DAC Topologies for Improved JitterPerformance

Ivar Løkken; Anders Vinje; Trond Sæther


Audio Engineering Society Conference: 31st International Conference: New Directions in High Resolution Audio | 2007

Segmented Dynamic Element Matching Using Delta-Sigma Modulation

Ivar Løkken; Trond Sæther; Anders Vinje

Collaboration


Dive into the Ivar Løkken's collaboration.

Top Co-Authors

Avatar

Anders Vinje

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Trond Sæther

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Rune Kaald

Norwegian University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Trond Sather

Norwegian University of Science and Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge