Abstract: For data writing, a first wavefront multiplexing (WFM) processor performs WFM on M input streams to generate N output streams. A pre-processor segments or codes a source stream to produce the M input streams. For data reading, a first wavefront demultiplexing (WFD) processor performs WFD on M input streams to generate N output streams. A post-processor de-segments or decodes the N output streams into a source stream.

Abstract: For signal transmission, a pre-processing device performs a wavefront multiplexing (WVM) transform on M input streams corresponding to M orthogonal beams to generate N output streams using a weight matrix having M beam weight vectors (BWVs) associated with the M orthogonal beams. An antenna array having N elements transmits the N output streams to a plurality of receivers. For signal reception, an antenna array having N elements receives N input streams from a plurality of transmitters. A post-processing device performs a wavefront de-multiplexing (WVD) transform on the N input streams corresponding to M orthogonal beams to generate M output streams using a weight matrix having M beam weight vectors (BWVs) associated with the M orthogonal beams. M and N are positive integers and 1<M?N. The M BWVs are calculated using an optimization procedure based on performance constraints.

Abstract: A receiving terminal for communication via NGSO satellites comprises an outdoor unit coupled to an indoor unit via optical fibers. The outdoor unit comprises an array antenna for capturing signals from the satellites; low-noise amplifiers; analog-to-digital conversion blocks for converting the captured signals to digital signals; a pre-processor for performing a wavefront multiplexing transform on the digital signals and generating wavefront multiplexed signals; and RF-to-optical drivers for transforming the wavefront multiplexed signals to optical waveforms.

Abstract: A communications system between a source and a destination includes a transmitter at the source and a communication connectivity. The transmitter comprises a preprocessor and a candidate envelope folder to provide M known a priori digital envelopes, M?1. The preprocessor has N input ports and N output ports, N>M, performs at least one wavefront multiplexing (WFM) transform on N inputs received at the N input ports to generate N outputs at the N output ports. The preprocessor performs the at least one WFM transform by calculating, for each of the N outputs, a linear combination of the N inputs using one of the M digital envelopes such that a digital format of one of the N outputs appears to human sensors as having features substantially identical to a digital format of the one of the M digital envelopes.

Abstract: An apparatus includes a memory storing a digital envelope and a wavefront demultiplexing (WFD) device which receives M input streams concurrently, M being an integer greater than 1, performs a WFD transformation on the M input streams, and generates M output streams concurrently. A first input stream includes wavefront multiplexed digital identifiers for digital right management. A second input stream is the digital envelope. The first input stream presented in a digital format appears to human perception as having identical features to the digital envelope presented in the digital format. Each output stream is a linear combination of the M input streams such that the digital identifiers are recovered from at least one of the M output streams. The digital envelope is a data file used by a sender to send the M input streams and is scaled with a magnification factor greater than 1 in the WFD transformation.

Abstract: Enveloping techniques using incoherent wavefront multiplexing (WF muxing or K-muxing) will enhance privacy protection on data communications. The disclosure relates to methods and architectures of packing or enveloping data using WF muxing, or K-muxing, for information transport via multiple communication links such as concurrently via multiple satellites, airborne platforms, wireless terrestrial links, and/or other wireless links. The multi-link communications may include the use of cloud transport of multiple WF-muxed data packages. It is focused to appearance of a digital envelop and reliability of enclosed data. The K-muxing on information digital streams before modulation in a transmitter shall provide enhanced data privacy and better availability. The WF multiplexed (WF muxed or K-muxed) information data streams will be individually and concurrently sent to the multiple links accordingly for data transport.

Abstract: Data files with digital envelops may be used for many new applications for cloud computing. The new applications include games and entertainments such as digital fortune cookies, and treasure hunting, unique techniques for digital right management, or even additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets. A customized set of WF muxing on multiple digital files as inputs including at least a data message file and a selected digital envelop file, is configured to guarantee at least one of the multiple outputs comprising a weighted sum of all inputs with an appearance to human natural sensors substantially identical to the appearance of the selected digital envelop in a same image, video or audio format. The output file is the file with enveloped or embedded messages. The embedded message may be reconstituted by a corresponding WF demuxing processor at destination with the known a priori information of the original digital envelope.

Abstract: A system comprises a plurality of personal devices identified by at least one remote storage network as belonging to a user. A personal device comprises a first folder for storing a known a priori digital file, a second folder for storing a data file, a processor, and a network interface. The processor performs an M-to-M waveform multiplexing transformation on M input files, M>1, and generates M output files. Each output file comprises a respective linear combination of the M input files. The M input files comprise the data file and the known a priori digital file. Each of the M output files appears to human perception as having substantially identical visual or audio features to the known a priori digital file. The network interface sends at least M?1 of the M output files to at least one destination in the at least one remote storage network for storage.

Abstract: One embodiment provides a system that facilitates efficient storage and retrieval using erasure coding. During operation, the system determines a finite field solution that conforms to both locality and maximum distance separable (MDS) properties of an erasure-coding system. The system determines a generator matrix of the erasure-coding system based on the finite field solution and generates, from a data element, a plurality of coded fragments based on the generator matrix of the erasure-coding system. The plurality of coded fragments includes a set of enhanced coded fragments that allows reconstruction of the data element and a set of regular coded fragments. The number of the enhanced coded fragments can be fewer than a threshold number of coded fragments for the erasure-coding system.

Abstract: An apparatus includes N audio receivers positioned in a pre-defined geometry with respect to P audio sources to receive P audio signals from the P audio sources; N data sets coupled to the N audio receivers to sample the received P audio signals into N data streams; a plurality of storage devices coupled to the N data sets to store the N data streams; and a post processor coupled to the plurality of storage devices to generate output signals corresponding to reconstituted P audio signals using a wavefront demultiplexing transformation, wherein N and P are positive integers and N?P. The post processor has inputs receiving data retrieved from the plurality of storage devices and outputs providing the output signals.

Abstract: A communications system includes at least one receiver having receiving elements and a transmitter having transmitting elements to transmit signals to the receiving elements via wireless propagation channels. The transmitter includes a beam-forming network and a channel measurement unit. The beam-forming network receives input signal streams at its input ports and outputs one or more signals as shaped beams based on a set of composited transfer functions. The channel measurement unit performs measurements of components of channel status information to generate a set of point-to-point transfer functions and generates the composited transfer functions by computing linear combinations of the point-to-point transfer functions. Each of the point-to-point transfer functions characterizes propagation paths from one of the transmitting elements to one of the receiving elements.

Abstract: A pre-processing apparatus includes a segmenter, a wavefront multiplexing (WFM) processor, and a network interface. The segmenter segments a media file or a plurality of media files into N media components using a data formatting scheme. The WFM processor transforms the N media components to N transformed components on a sample basis or a block basis according to the data formatting scheme. Each of the N transformed components is a linear combination of the N media components. The network interface transmits the N transformed components to a server for storage as a document file on a remote storage via a network connectivity.

Abstract: A communication system includes (1) a first airborne linear array configured to project a first fan beam over a first ground coverage elongated in a first direction, the first fan beam delivering a first information data associated with a first data stream; and (2) a second airborne linear array configured to project a second fan beam over a second ground coverage elongated in a second direction, the second fan beam delivering a second information data associated with a second data stream. The first and second ground coverages are overlapped to form a common coverage area. The first and second data streams are complementary to each other and are linear combinations of a plurality of segmented substreams. The plurality of segmented substreams is formed from an information data stream. The first and second data streams are generated from a ground control facility.

Abstract: A communication system includes a transmitter and remote receivers having each a set of receive elements. The transmitter includes a preprocessor and a set of transmit elements which radiate shaped beams including probing signals through a multipath communication channel. The preprocessor computes channel state information based on received responses to the probing signals, generate composited transfer functions based on the channel state information, generate the shaped beams based on the composited transfer functions, and process a plurality of input signals to be transmitted via the shaped beams to the remote receivers. The channel state information includes transfer functions, each characterizing at least one propagation path from one transmit element to one receive element. Each composited transfer function is a linear combination of the transfer functions. Each receive element is identified by a user element identification index in the transfer functions.

Abstract: Security on data storage and transport are important concerns on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets. In short, the WF muxed data storage solution enhances data security and data redundancy by, respectively, creating a new dimension to existing security/privacy methods and significantly reducing the storage space needed for data redundancy.

Abstract: Presented is a multi-channel data process to utilize wavefront multiplexing for data storage and data stream transport with redundancy on cloud or in a distribution network. This processing features additional applications for multi-media recording and data communications via transponding platforms including satellites, unmanned air vehicles (UAVs), or others for better survivability and faster accessing. Multiple concurrent data streams are pre-processed by a wavefront multiplexer into multiple sub-channels or wavefront components, where signals from respective data streams are replicated into sub-channels. These replicated data streams are linked via a unique complex weighting vector (amplitude and phase or their equivalents), or “wave-front”, which are also linked by various spatially independent wavefronts. Additionally, probing data streams are embedded and linked via some of the independent wavefronts. Aggregated data streams in sub-channels are unique linear combinations of all input data streams.

Abstract: Presented are MIMO communications architectures among terminals with enhanced capability of frequency reuse by strategically placing active scattering platforms at right places. These architectures will not depend on multipaths passively from geometry of propagation channels and relative positions of transmitters and those of receivers. For advanced communications which demand high utility efficiency of frequency spectrum, multipath effects are purposely deployed through inexpensive active scattering objects between transmitters and receivers enable a same frequency slot be utilized many folds such as 10×, 100× or even more. These active scatters are to generate favorable geometries of multiple paths for frequency reuse through MIMO techniques. These scatters may be man-made active repeaters, which can be implemented as small as 5 to 10 watt lightbulbs for indoor mobile communications such as in large indoor shopping malls.

Abstract: Presented are cloud storage architectures for private data among terminals with enhanced capability of data privacy and survivability. Pre-processing for storing data in IP cloud comprises: transforming multiple first data sets into multiple second data sets at an uploading site, wherein one of said second data sets comprises a weighted sum of said first data sets; storing said second data sets in an IP cloud via IP connectivity; and storing multiple data storages linking to said second data sets at said uploading site. In accordance with an embodiment post processing may comprise recovering said second data sets at a downloading site via IP network.

Abstract: A communication system includes a transmitter, one or more active scattering platforms, and one or more remote receivers. The transmitter includes a beam forming network for transforming M signals into a set of shaped beams which are radiated toward the active scattering platforms by transmitter antenna elements. The active scattering platforms receive and re-radiate one or more of the radiated shaped beams toward the receivers. The beam forming network optimizes composite transfer functions under performance constraints. Each composite transfer function is a linear combination of transfer functions. Each transfer function characterizes propagation paths from one transmitter antenna element to one receiving antenna element. Each receiving antenna element is identified by a user element identification index in the transfer functions. Each receiver is identified by a user identification index.