Abstract:
A method of processing asynchronous event-driven input samples of a continuous time signal includes calculating a short-time Fourier transform (STFT) output based on the event-driven input samples. The STFT output may be calculated by expressing an encoding pulse and an STFT window function as a sum of complex weighted causal complex exponentials. The method further includes interpolating output between events.
Abstract:
Systems, apparatus and methods for facilitating identification and/or acquisition of an access point are provided. Methods can include transmitting or receiving access point information (“API”) indicative of an identification of the access point (“AP”). The API can be provided at the AP through hardwiring or receipt of configuration information input by a user or transmitted to the AP by a network operator through Over-The-Air (“OTA”) signaling. The API can be computer-readable and, in some embodiments, the API can also be human-readable. The API can be transmitted on a paging channel from which user equipment (“UE”) can receive information. The frequency at which the API is transmitted can be fixed, dynamic and/or configurable. Upon receipt of the API, acquisition of the AP is attempted if the AP is determined to be a permitted AP.
Abstract:
Methods and apparatus for piecewise linear neuron modeling and implementing artificial neurons in an artificial nervous system based on linearized neuron models. One example method for operating an artificial neuron generally includes determining that a first state of the artificial neuron is within a first region; determining a second state of the artificial neuron based at least in part on a first set of linear equations, wherein the first set of linear equations is based at least in part on a first set of parameters corresponding to the first region; determining that the second state of the artificial neuron is within a second region; and determining a third state of the artificial neuron based at least in part on a second set of linear equations, wherein the second set of linear equations is based at least in part on a second set of parameters corresponding to the second region.
Abstract:
A method of processing asynchronous event-driven input samples of a continuous time signal, includes calculating a convolutional output directly from the event-driven input samples. The convolutional output is based on an asynchronous pulse modulated (APM) encoding pulse. The method further includes interpolating output between events.
Abstract:
Systems, apparatus and methods for facilitating identification and/or acquisition of an access point are provided. Methods can include transmitting or receiving access point information (“API”) indicative of an identification of the access point (“AP”). The API can be provided at the AP through hardwiring or receipt of configuration information input by a user or transmitted to the AP by a network operator through Over-The-Air (“OTA”) signaling. The API can be computer-readable and, in some embodiments, the API can also be human-readable. The API can be transmitted on a paging channel from which user equipment (“UE”) can receive information. The frequency at which the API is transmitted can be fixed, dynamic and/or configurable. Upon receipt of the API, acquisition of the AP is attempted if the AP is determined to be a permitted AP.
Abstract:
Methods and apparatus for piecewise linear neuron modeling and implementing artificial neurons in an artificial nervous system based on linearized neuron models. One example method for operating an artificial neuron generally includes determining that a first state of the artificial neuron is within a first region; determining a second state of the artificial neuron based at least in part on a first set of linear equations, wherein the first set of linear equations is based at least in part on a first set of parameters corresponding to the first region; determining that the second state of the artificial neuron is within a second region; and determining a third state of the artificial neuron based at least in part on a second set of linear equations, wherein the second set of linear equations is based at least in part on a second set of parameters corresponding to the second region.
Abstract:
Systems, apparatus and methods for facilitating identification and/or acquisition of an access point are provided. Methods can include transmitting or receiving access point information (“API”) indicative of an identification of the access point (“AP”). The API can be provided at the AP through hardwiring or receipt of configuration information input by a user or transmitted to the AP by a network operator through Over-The-Air (“OTA”) signaling. The API can be computer-readable and, in some embodiments, the API can also be human-readable. The API can be transmitted on a paging channel from which user equipment (“UE”) can receive information. The frequency at which the API is transmitted can be fixed, dynamic and/or configurable. Upon receipt of the API, acquisition of the AP is attempted if the AP is determined to be a permitted AP.