Qualcomm

About: Qualcomm is a company organization based out in Farnborough, United Kingdom. It is known for research contribution in the topics: Wireless & Signal. The organization has 19408 authors who have published 38405 publications receiving 804693 citations. The organization is also known as: Qualcomm Incorporated & Qualcomm, Inc..

Method of forming a magnetic tunnel junction structure

Abstract: In a particular embodiment, a method is disclosed that includes forming a magnetic tunnel junction (MTJ) structure including a conductive layer on a substrate. The method also includes depositing a sacrificial layer on the conductive layer before depositing a patterning film layer.

Three-dimensional sound capturing and reproducing with multi-microphones

Abstract: Systems, methods, apparatus, and machine-readable media for three-dimensional sound recording and reproduction using a multi-microphone setup are described.

Determining rewards based on proximity of devices using short-range wireless broadcasts

Abstract: Methods, systems and devices for presenting rewards to users based on proximity of short-range wireless devices. A wireless identity transmitter may periodically transmit wireless broadcast messages that include obscured identifiers. When within proximity, a proximity broadcast receiver, such as a mobile device carried by a user, may receive and relay the broadcast messages to a server which may process the included information. Based on decrypting the obscured identifiers, the central server may determine whether relayed messages relate to devices associated with a reward program, and may calculate rewards, such as coupons, money, or prizes. Rewards may be presented to users based on sensor data indicated within broadcast messages. In an embodiment, when the server receives a sighting message related to an active search for a target device, a reward is presented to the user of the proximity broadcast receiver that transmitted the sighting message.

Signal processing with channel eigenmode decomposition and channel inversion for mimo systems

Abstract: Techniques for processing a data transmission at a transmitter and receiver, which use channel eigen-decomposition, channel inversion, and (optionally) “water-pouring”. At the transmitter, (1) channel eigen-decomposition is performed to determine eigenmodes of a MIMO channel and to derive a first set of steering vectors, (2) channel inversion is performed to derive weights (e.g., one set for each eigenmode) used to minimize ISI distortion, and (3) water-pouring may be performed to derive scaling values indicative of the transmit powers allocated to the eigenmodes. The first set of steering vectors, weights, and scaling values are used to derive a pulse-shaping matrix, which is used to precondition modulation symbols prior to transmission. At the receiver, channel eigen-decomposition is performed to derive a second set of steering vectors, which are used to derive a pulse-shaping matrix used to condition received symbols such that orthogonal symbol streams are recovered.

Finding the best set of K paths through a trellis with application to multitarget tracking

Abstract: A solution is presented to the problem of finding the best set of K completely unmerged paths through a trellis with M/sub /i>or=K states at depth i in the trellis, i=0, 1, 2, . . ., N. Here, 'best set' means that the sum of the metrics of all K paths in the set is minimized, and 'completely unmerged' means that no two paths pass through a common state. The solution involves using the Viterbi algorithm on an expanded trellis. This result is then used to separate the tracks of K targets optimally in a simplified model of a multitarget radar system. The model includes measurement errors and false alarms, but it does not include the effects of missing detections or merged measurements. >