Abstract:
In certain embodiments, a method for compressing n-dimensional data includes applying a data clustering algorithm to n-dimensional data to partition the n-dimensional data into one or more clusters. Each of the one or more clusters includes a cluster center and a cluster membership. The cluster membership includes an index of one or more cluster members of the cluster. The method further includes performing, for each of the one or more clusters, a subspace projection technique to generate, for each of the cluster members of the cluster, one or more projection coefficients for the cluster member.
Abstract:
In one aspect, a method includes monitoring a network including nodes, receiving a first signal from a first node and determining whether the first node is authorized to transmit the first signal. The first node is configured to cease transmission if the first node detects another node is also transmitting. The method also includes broadcasting a second signal if the first node is not authorized to transmit the first signal and ceasing transmission from the first node based on receipt of the second signal.
Abstract:
According to one embodiment of the present invention, a method for selectively jamming network traffic includes monitoring data packets transmitted over a network. In response to the monitoring, the presence of a blocked signal is identified in a first data packet. Upon identification of the blocked signal, a second data packet is transmitted to interfere with the ability of one or more network nodes identified to receive the first data packet to decipher the first data packet.