Reducing the peak to average ratio of multicarrier GSM and edge signals. - Olli Väänänen; Jouko Vankka; Kari Halonen (PIMRC, 2002)

Reducing the crest factor of a CDMA downlink signal by adding unused channelization codes. - Olli Väänänen; Jouko Vankka; Timo Viero; Kari Halonen (IEEE Commun. Lett., 2002)

A method for compensating the D/A converter frequency response distortion in OFDM system. - Olli Väänänen; Mikko Kaltiokallio; Jouko Vankka; Kari Halonen (ECCTD, 2005)

OFDM modulator with digital IF and on-chip D/A-converter. - Jonne Lindeberg; Olli Väänänen; Jussi Pirkkalaniemi; Marko Kosunen; Kari Halonen (CICC, 2006)

Requirements for Energy Efficient Edge Computing: A Survey. - Olli Väänänen; Timo Hämäläinen 002 (NEW2AN, 2018)

Compression Methods for Microclimate Data Based on Linear Approximation of Sensor Data. - Olli Väänänen; Timo Hämäläinen 002 (NEW2AN, 2019)

Predictive pumping based on sensor data and weather forecast. - Olli Väänänen; Jari Hautamäki; Timo Hämäläinen 002 (SAS, 2019)

Linear Approximation Based Compression Algorithms Efficiency to Compress Environmental Data Sets. - Olli Väänänen; Mikhail Zolotukhin; Timo Hämäläinen 002 (AINA Workshops, 2020)

Sensor Data Stream on-line Compression with Linearity-based Methods. - Olli Väänänen; Timo Hämäläinen 002 (SMARTCOMP, 2020)

LoRa-Based Sensor Node Energy Consumption with Data Compression. - Olli Väänänen; Timo Hämäläinen 002 (MetroInd4.0&IoT, 2021)

Linearity-based Sensor Data Online Compression Methods for Environmental Applications. - Olli Väänänen; Timo Hämäläinen 002 (CIoT, 2023)

Identifying electric power system fault types with Deep Neural Network. - Tomi Nieminen; Olli Väänänen; Pasi Puttonen; Teppo Flyktman; Ari Latvala (MetroInd4.0&IoT, 2023)

Latest Trends in Artificial Intelligence Technology: A Scoping Review. - Teemu Niskanen; Tuomo Sipola; Olli Väänänen (CoRR, 2023)

Smart Grid Fault Detection and Localization with Internet of Things: A Brief Survey. - Olli Väänänen; Mika Rantonen (MetroInd4.0 & IoT, 2024)