Abstract: Method for propagation channel estimation in an N×M Multiple-Input-Multiple-Output (MIMO) communication system comprising a transmitter (202) comprising N transmit antennas and a receiver (204) comprising M receive antennas and a MIMO equalizer (206) comprising multiple taps, where N>1 and M>1. The method includes producing (s402) a single tap equalizer (Q) based on a multi-tap equalizer (Q). The method also includes producing (s404) an inverse effective-channel estimate (Qe) based on Q, The method also includes inverting (s406) Qe to produce an effective-channel estimate (He), The method also includes producing (s408) Ha based on He—wherein Ha can be used to determine one or more performance metrics.

Abstract: A computer-implemented method, performed in a network node, for estimating one or more relative channel gains and one or more channel phases associated with a wireless propagation channel (H) between N transmit antennas (220) and M receive antennas (230) in a line-of-sight, LOS, multiple-input multiple-output, MIMO, communication system (200), the method comprising configuring a channel equalizer to compensate for differences in complex gain over the wireless propagation channel (H) between the N transmit antennas (220) and the M receive antennas (230), configuring a phase tracker to compensate for differences in phase between a set of transmit side oscillators (240) at the N transmit antennas (220) and a set of receive side oscillators (250) at the M receive antennas (230), obtaining a set of equalizer coefficients (W) from the channel equalizer indicative of relative complex gain differences of propagation paths between the N transmit antennas (220) and the M receive antennas (230), obtaining a set of phase

Abstract: The disclosed computer-implemented method for preparing email databases for analysis may include (1) identifying an email database that stores a plurality of emails in a plurality of tables that are formatted to be managed by a specific email application, (2) using a component of the specific email application to retrieve the plurality of emails from the database, (3) creating a denormalized dataset for the plurality of emails by combining email data from at least one table from the plurality of tables with email data from at least one other table from the plurality of tables, and (4) exporting at least a portion of the data from the denormalized dataset into at least one file in an interoperable format that is capable of being read by a plurality of applications. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for prefetching subsequent data segments may include (1) identifying a storage system that receives sequential read requests from a sequential-access computing job and random-access read requests from a random-access computing job, (2) observing a plurality of requests to read a plurality of data segments stored by the storage system, (3) determining that the plurality of data segments are stored contiguously by the storage system and that the plurality of requests originate from the sequential-access computing job, and (4) prefetching a subsequent data segment that is directly subsequent to the plurality of data segments in response to determining that the plurality of requests originate from the sequential-access computing job. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for restoring distributed applications within virtual data centers may include (1) receiving a request to restore a distributed application that includes at least one virtual machine to a virtual data center, (2) identifying a backup of the virtual machine stored within backup storage, (3) exposing the backup of the virtual machine stored within the backup storage to a hypervisor, (4) regenerating the virtual machine by accessing the backup of the virtual machine at the backup storage, (5) adding the virtual machine to the distributed application, and (6) restoring, before completely recovering the virtual machine from the backup storage to the datastore of the virtual data center, the distributed application by starting the virtual machine as part of the distributed application. Various other methods, systems, and computer-readable media are also disclosed.