Abstract:
Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.
Abstract:
Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.
Abstract:
Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.
Abstract:
Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.
Abstract:
Methods for decoding a signal encoded by a Time Encoding Machine (TEM) include defining a plurality of time-windows, each time-window corresponding to a portion of a TEM-encoded signal and made up of a plurality of trigger values, at least two of the time-windows overlapping, decoding each of the time-windows using a Time Decoding Machine (TDM) to generate a decoded time-window, and stitching the decoded time-windows together to generate a TEM-decoded signal.
Abstract:
Method for identification of at least one parameter of a sampling system includes transmitting at least one input signal to at least one channel of the sampling system; measuring at least one output signal of the sampling system in response to sampling of the at least one input signal by the receiver; and determining, using a processor, the at least one parameter of the sampling system using the at least one input signal and the at least one output signal of the sampling system. A system for identification of at least one parameter relating to a sampling system in response to at least one input signal is also provided.
Abstract:
Analog signals can be fully encoded as an asynchronous time sequence generated by a time encoding machine. With knowledge of the parameters of the time encoding machine, the asynchronous time sequence can be decoded using a non-linear time decoding machine. Such a system can be extended into an encoder/decoder in which a signal is processed in M separate channels. An input signal is applied to the encoder where the signal is provided to an M channel encoder circuit including a filter bank having a total bandwidth partitioned among M adjacent or overlapping filters. Each of the M filters are coupled to a corresponding one of M time encoding machines. The encoder output is represented by M sets of time encoded trigger values. The input signal can be recovered from the M sets of time encoded trigger values by applying the trigger signals to a corresponding M channel decoder which includes M TDMs and filters. The TDMs recover the continuous signal from each channel. The filter outputs xm are then amplitude scaled sm and are combined to recover the input signal. By partitioning the signal bandwidth into M channels, the average pulse rate from each TDM is substantially reduced.
Abstract:
A system and method for allocating a resource using a progressive second price auction technique. An auction is held for a limited resource, such as bandwidth in an Internet Service Provider Network in which bids are submitted by prospective users including the quantity desired and the price for each unit of resource bid upon. In order to make an efficient allocation, a new bidder is granted some of the resource based upon the availability of the limited resource due to the bids higher than the new bidder. The actual price paid by the new bidder is based upon bids made with lower prices who have been or would have been allocated some of the resource. This calculation of the price paid encourages bidders to bid their actual valuation of the resources rather than engage in inefficient tactical bids.
Abstract:
Methods for decoding a signal encoded by a Time Encoding Machine (TEM) include defining a plurality of time-windows, each time-window corresponding to a portion of a TEM-encoded signal and made up of a plurality of trigger values, at least two of the time-windows overlapping, decoding each of the time-windows using a Time Decoding Machine (TDM) to generate a decoded time-window, and stitching the decoded time-windows together to generate a TEM-decoded signal.
Abstract:
Analog signals can be fully encoded as an asynchronous time sequence generated by a time encoding machine (TEM). With knowledge of the parameters of the time encoding machine, the asynchronous time sequence can be decoded using a non-linear time decoding machine. In one embodiment, the non-linear time decoding machine generates a set of weighted Dirac delta functions centered in the intervals of the asynchronous time sequence of the time encoding machine output. The weighting of each of the delta functions is determined by the parameters of the TEM as well as the values of the time sequence. The generation of the series of delta functions is a nonlinear operation (500, 510, 520). The input signal can be recovered from the series of weighted delta functions by (530) applying this series through an impulse response filter.