Nokia Corporation

Broadcom Corporation

Fingerprint Cards Ab

Renesas Mobile Corporation

Fingerprint Cards Anacatum IP Ab

Carsten Juncker

Klaus Scheldrup Andersen

Lars Christensen

David Tingdahl

Hamid Sarve

Morten With Pedersen

Niels Jacob Sand Morch

Niels Mørch

Frank Knudsen Christensen

Craig J Mitchell

Peter Toft

The present disclosure relates to a method of authenticating a user by means of an electronic device comprising a user output interface. The present disclosure also relates to a corresponding electronic device and to a computer program product.

Authentication method for an electronic device

Method of multi-finger enrollment for a user

The present disclosure relates to an electronic device comprising at least a first and a second biometric sensor arrangement, wherein the second biometric sensor arrangement being different from the first biometric sensor arrangement. The present disclosure also relates to a method for enrolling a user of such an electronic device and to a corresponding computer program product.

Enrollment scheme for an electronic device

Disclosed is an apparatus, method and computer program which frequency shifts a received signal by a first frequency value and low-pass filters the frequency shifted received signal at a first cutoff frequency to filter out a plurality of adjacent carrier frequencies. Parallel baseband processing is then performed on two or more adjacent carrier frequencies among the plurality of adjacent carrier frequencies based upon an adjacent carrier power criterion. In certain examples, the parallel baseband processing is adapted for detecting a frequency correction burst in two or more adjacent Global System for Mobile Communications carrier frequencies or an Enhanced Data Rates for Global System for Mobile Communications Evolution carrier frequencies.

Method, apparatus and computer program for search and synchronisation

In a fingerprint sensing system, a determination is made of a center of attention, COA, point. The COA point is a point on a finger of a user that is likely to be in proximity of the center of a fingerprint image of the finger obtained by a fingerprint sensor. This COA determination is used in guiding the user in a fingerprint enrolment procedure.

Guided fingerprint enrolment

There are provided measures for cell search and synchronization. Such measures may exemplarily comprise acquiring an observation signal for a carrier signal on a carrier which is under consideration for synchronization with a desired cellular system, calculating a power measure of the observation signal, which indicates a received power of said carrier signal, calculating a non-circularity measure of the observation signal, which indicates a non-circularity of said carrier signal, and calculating a ranking measure, which indicates an applicability of said carrier for synchronization with the desired cellular system, based on the calculated power measure and the calculated non-circularity measure.

Method, apparatus and system for improving cell search and synchronization in a cellular communication system by using non-circularity of signal statistics

Method, apparatus and system for improving cell search and synchronization using non-circularity of signal statistics

A first user terminal receives data during a time slot assigned for simultaneous transmission of data to a first set of at least one user terminal and to a second set of at least one user terminal using time-division multiplexing, estimates the applied power ratio between a first sub-channel to the first set and a second sub-channel to the second set (the available power ratios are divided into at least one known region and each applied power ratio belongs to one region), estimates bit error probability for each of the bursts of the received data; and applies an adaptation process in order to make the estimated bit error probabilities fall into one of bit error probability intervals of a predefined mapping table with a predetermined probability. which determines the bit error probability that is to be reported to a network.

Mobile communications network

Embodiments of the invention include apparatuses, systems, computer readable media, and methods for processing speech signals in a manner that enhances capacity, efficiency and hardware utilization of a communications network. A method, according to one embodiment, includes receiving speech signals, determining a subchannel power imbalance ratio of at least two subchannels, and selecting a receiver architecture for processing the speech signals in accordance with the determined subchannel power imbalance ratio.

VAMOS&#x2014;DARP receiver switching for mobile receivers

There is provided a receiver comprising a processing unit, a communications unit for receiving frames including training sequence symbols or pilot symbols, the processing unit being configured to use Cyclic Redundancy Check for detecting errors in the received frames. When no errors in a given frame are discovered on the basis of the Cyclic Redundancy Check, the processing unit is further configured to define a TSC, training sequence code, bit error rate for the bursts of the given frame on the basis of the training sequence symbols or the pilot symbols; to define an upper limit for the TSC bit error rate; and to determine the given frame to be bad when the TSC bit error rate for the bursts of the given frame is greater than the upper limit of the TSC bit error rate.

Communications system, receiver, and method of estimating received signal quality by using bit error rate

The Doppler spreads of the received signals in a MIMO, SIMO or MISO mobile communication system are estimated from the derivatives of the path transfer function envelopes for the received signals. The estimated Doppler spreads is used to estimate the speed of the mobile station.

Mobile station speed estimation

Battery life estimation can be performed by using an algorithm and parameter values for the algorithm, scaled according to the type, e.g. capacity and chemistry, of the battery actually being used. The result of the algorithm may be scaled according to the expected current demand of the apparatus being powered by the battery. A parameter of the algorithm may also be varied if it fails to meet a predetermined fitness criterion during discharging of the battery.

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Herlev, Denmark

Carsten Juncker