Abstract: A catalyst composition for use as precursor for Ziegler-Natta catalyst system, said catalyst composition comprising a combination of magnesium moiety, titanium moiety and an internal donor containing at least one 1,2-phenylenedioate compound of structure (A). Also, the present invention provides a process for preparing the aforesaid catalyst composition. Further, the present invention provides a Ziegler-Natta catalyst system incorporating the aforesaid catalyst composition and a method for polymerizing and/or copolymerizing olefins using the Ziegler-Natta catalyst system.

Abstract: UE (120) and method (500) in a UE (120), for MIMO detection of signals received from a radio network node (110), comprised in a wireless communication network (100). The method (500) comprises receiving (501) a signal of the radio network node (110). The method (500) also comprises establishing (510) a list of hypotheses candidate vector. Furthermore, the method (500) in addition comprises computing (511) path metrics of the established (510) list of hypotheses candidate vector, and thereby computing LLRs utilising the computed path metrics for achieving MIMO detection.

Abstract: The present disclosure relates to an iterative method for estimating covariance matrices of communication signals comprising a) computing a reference symbol covariance matrix estimate (k,l); b) inputting said reference symbol covariance matrix estimate (k,l) to a detector or a decoder in a first iteration, and thereafter inputting the covariance matrix estimate output from e) to the detector or the decoder in subsequent iterations to obtain an updated demodulated or decoded communication signal for each iteration; c) inputting the demodulated or decoded communication signal to a symbol generator; d) computing an updated data covariance matrix estimate (k,l) for each iteration based on data symbols of said regenerated communication signal; e) combining said reference symbol covariance matrix estimate (k,l) and said updated data covariance matrix estimate (k,l); and f) forwarding said covariance matrix estimate output to the detector or decoder in b) to obtain the updated demodulated or decoded communicati

Abstract: The present invention relates to an equalizing method in a receiver node of a cellular wireless communication system, the method comprising: receiving at least one radio signal comprising a plurality of resource elements; obtaining interference information associated with the plurality of resource elements; extracting resource elements from the plurality of resource elements carrying data into a first set based on the interference information; dividing the resource elements in the first set into one or more sub-sets each comprising T number of resource elements; filtering the resource elements in said one or more sub-sets by applying a balanced whitening and energy focusing filter W so as to obtain filtered resource elements y; and equalizing the filtered resource elements y. The invention also relates to a receive device, a computer program, and a computer program product.

Abstract: A user equipment (UE) and a method are presented. The UE comprises a receiver unit and a processing circuit, and is configured for receiving wireless signals. The processing circuit is arranged for performing pre-detection of the received signals providing an initial estimation of transmitted signals. The processing circuit is also arranged for splitting the transmitted signal into disjoint subgroups, each one covering a subgroup of all layers used for the transmitted signal such that the subgroups together cover all the layers. The processing circuit is also arranged for interference cancellation performed on the subgroups of transmitted signals based on the initial estimation of the transmitted signals. The processing circuit is also arranged for detection of the subgroups of transmitted signals by utilization of an MLD algorithm, wherein the subgroup of layers within each one of the subgroups of transmitted signals is detected simultaneously.

Abstract: Embodiments of the present invention are directed to an application broker, which can be a program on a client device, a service in a cloud accessible by the client device or both. The client device typically runs a guest environment in a host environment. A user is able to search for an application on the application broker configured to interface with one or more application sources. In some embodiments, the application broker is able to intelligently search, download and/or install the application in the guest operating system of the client device with minimal or no user intervention. The application is typically executed in an application player associated with the guest environment. In some embodiments, the application player is configured as the application broker. In some embodiments, the application broker can provide suggested applications to download when the client device is communicatively coupled with the one or more application sources.

Abstract: The present disclosure relates to an iterative pilot symbol interference cancellation method in a receiver node of a cellular wireless communication system. The method includes receiving a superimposed signal comprising pilot symbols and data symbols associated with a serving cell and pilot symbols associated with one or more interfering cells, extracting a first set from the superimposed signal. The first set includes a plurality of data symbols associated with said serving cell which are affected by an interference from the one or more interfering cells. The method further includes estimating an interference of the first set, removing interference from the first set using the estimated interference, estimating the plurality of data symbols, subtracting the estimated plurality of data symbols from the first set, and repeating the estimating an interference, the removing interference, the estimating plurality of data symbols, and the subtracting steps i number of times, where i?1.

Abstract: Receiver and method in a receiver, for iterative channel estimation and data decoding of signals received from a radio network node, located in a wireless communication network. The method comprises detecting a signal of the radio network node, performing channel estimation of the detected signal, based on iterative application of a Space Alternating Generalised Expectation and maximisation, SAGE, algorithm, determining a channel/link quality, based on the performed channel estimation and the estimated channel parameters, selecting Multiple-Input and Multiple-Output, MIMO, detector, based on the determined channel quality, determining to enable and/or disable, respectively, soft-Iterative Channel Estimation, soft-ICE, based on the determined channel quality, and iterating the performed channel estimation for a predetermined number of times.

Abstract: The present subject matter relates to an automated classification of business rules. In one embodiment, a method for automated classification of the business rules comprises identifying a business rule from a text document, wherein the business rule comprises one or more rule intents. Further, the method comprises comparing the one or more rule intents in the business rule with rule intents associated with a plurality of rule types in a rule repository. Furthermore, the method comprises classifying the business rule under at least one of the rule types based on the comparison.

Abstract: A method and system for link quality metric based antenna selection for transceiver are disclosed. In one embodiment, a method for selecting an antenna from multiple antennas associated with a receiver, includes receiving multi-carrier modulated signals via a currently active antenna of the receiver, and estimating a predicted packet error rate (PER) associated with a current receive path of the receiver. The current receive path is used to process the multi-carrier modulated signals. The method further includes selecting a next antenna from the multiple antennas for forming a next receive path of the receiver based on the predicted PER and a packet error history associated with at least one previous receive path.

Abstract: The invention refers to a method of determining a channel quality of a communication channel between a wireless transmitter and a wireless receiver, comprising receiving a transport block with one or a plurality of a modulation symbols (y1, . . . , ym) comprising a plurality of encoded information bits (x1, . . . , xn), de-mapping the modulation symbols to a plurality of soft values (LLR1, . . . , LLRn), calculating a mutual information—MI—measure (MI) as a function of the plurality of soft values (LLR1, . . . , LLRn), wherein the MI measure is indicative of a mutual dependence between the information bits (x1, . . . , xn) and the corresponding soft values of said transport block, and determining a channel quality indication value (CQI-Index) as a function of the MI measure (MI). The invention further refers to a program and to a wireless receiver for performing the method.

Abstract: A System, method and application for creating comprehensive multiple mixed media knowledge storage and management, discovery and retrieval utilizing novel indexing and querying applied to content from multiple media formats from disparate sources is disclosed. Depending on the media format the system breaks down the source information in any media into constituent units (“tokens”) using a reference corpus of labeled tokens (“training set”). The details of tokens are stored in an inverted index with available reference data such as location in the file, time, source file and additional information related to the token such as quantitative similarity to the best-match token(s) in the training set etc. During retrieval, a query comprising of single element in any media; a multimedia element or a combination of such elements including a sequence of such elements in a time line is similarly broken down into constituent units to generate a novel query structure.

Abstract: In one general aspect, a method of deriving information about behavior of a target system is disclosed. The method includes accessing one or more temporal variables for the target system, providing an identifier node at the top of a hierarchy of a tree-structured belief network, and assigning a different sub-tree in the network to each of the accessed temporal variables. The method also involves accessing evidence data, and deriving information about the behavior of the target system for the evidence data based on the tree-structured belief network.

Abstract: A method and system for link quality metric based antenna selection for transceiver are disclosed. In one embodiment, a method for selecting an antenna from multiple antennas associated with a receiver, includes receiving multi-carrier modulated signals via a currently active antenna of the receiver, and estimating a predicted packet error rate (PER) associated with a current receive path of the receiver. The current receive path is used to process the multi-carrier modulated signals. The method further includes selecting a next antenna from the multiple antennas for forming a next receive path of the receiver based on the predicted PER and a packet error history associated with at least one previous receive path.

Abstract: An isolated, biologically active 33 kDa hemagglutinin purified from the type A Clostridium botulinum neurotoxin complex and its uses are described.

Abstract: An isolated, biologically active 33 kDa Hemagglutinin purified from the type A Clostridium botulinum neurotoxin complex and its uses are described.

Abstract: In one general aspect, a method of deriving information about behavior of a target system is disclosed. The method includes accessing one or more temporal variables for the target system, providing an identifier node at the top of a hierarchy of a tree-structured belief network, and assigning a different sub-tree in the network to each of the accessed temporal variables. The method also involves accessing evidence data, and deriving information about the behavior of the target system for the evidence data based on the tree-structured belief network.

Abstract: An isolated, biologically active 33 kDa hemagglutinin purified from the type A Clostridium botulinum neurotoxin complex and its uses are described.