Abstract: A method, system, and apparatus for noise cancelation is disclosed, which may be used in a wireless unit (WU). The WU may include a processor, a memory, a user interface, one or more internal microphones and internal speakers. A removably connected headset may include microphones and speakers. The WU may receive a first signal from the headset. The WU may receive a first ambient noise at the one or more internal microphones, and the WU may generate a second signal based on the first ambient noise. The WU may calculate an estimate of ambient noise based on the first and second signals, calculate a signal for noise cancellation based on the estimate, cancel estimated ambient noise from an audio output signal based on an application of the signal for noise cancellation, and send the audio output signal to one or more speakers of the headset or of the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed, which may be used in a wireless unit (WU). The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. A removably connected headset may include microphones and speakers. The WU may receive a first ambient noise from headset microphone(s), which may generate a first signal based on the first ambient noise. The WU may receive a second ambient noise at internal microphone(s), which may generate a second signal based on the second ambient noise. The WU may calculate an estimate of ambient noise based on the first and second signals, calculate a signal for noise cancellation based on the estimate, cancel estimated ambient noise from an audio output signal based on an application of the signal for noise cancellation, and send the audio output signal to speakers of the headset or of the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed, which may be used in a wireless unit (WU). The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. A removably connected headset may include microphones and speakers. The WU may receive a first ambient noise from headset microphone(s), which may generate a first signal based on the first ambient noise. The WU may receive a second ambient noise at internal microphone(s), which may generate a second signal based on the second ambient noise. The WU may calculate an estimate of ambient noise based on the first and second signals, calculate a signal for noise cancellation based on the estimate, cancel estimated ambient noise from an audio output signal based on an application of the signal for noise cancellation, and send the audio output signal to speakers of the headset or of the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset removably connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers. The WU may receive a first ambient noise from one or more headset microphones, which may generate a first signal based on the first ambient noise. The WU may calculate an estimate of ambient noise based on the first signal, calculate an a signal for noise cancellation based on the estimate of ambient noise, cancel estimated ambient noise from an audio output signal based on the application of the signal for noise cancellation, and send the audio output signal to the speakers of the headset or the speakers of the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset wirelessly connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers. The WU may receive an ambient noise from a headset microphone, which may generate a signal based on the ambient noise. The WU processor may then calculate an estimate of the ambient noise based on the signal, calculate an inverse of the estimated ambient noise based on the estimate of the ambient noise, cancel the estimated ambient noise from an audio output signal based on the application of the inverse of the estimated ambient noise, and send the audio output signal wirelessly to the speakers of the headset or the audio output signal to the speakers of the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset removably connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers, and be powered by the WU. The WU may receive an ambient noise from a headset microphone, which may generate a signal based on the ambient noise. The WU processor may then calculate an estimate of the ambient noise based on the signal, calculate an inverse of the estimated ambient noise based on the estimate of the ambient noise, cancel the estimated ambient noise from an audio output signal based on the application of the inverse of the estimated ambient noise, and send the audio output signal to the speakers of the headset or the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset removably connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers, and be powered by the WU. The WU may receive an ambient noise from a headset microphone, which may generate a signal based on the ambient noise. The WU processor may then calculate an estimate of the ambient noise based on the signal, calculate an inverse of the estimated ambient noise based on the estimate of the ambient noise, cancel the estimated ambient noise from an audio output signal based on the application of the inverse of the estimated ambient noise, and send the audio output signal to the speakers of the headset or the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset removably connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers, and be powered by the WU. The WU may receive an ambient noise at microphone(s), including a headset microphone, which may generate a signal based on the ambient noise. The WU processor may then calculate an estimate of the ambient noise based on the signal, calculate an inverse of the estimated ambient noise based on the estimate of the ambient noise, cancel the estimated ambient noise from an audio output signal based on the application of the inverse of the estimated ambient noise, and send the audio output signal to the speakers of the headset or the WU.

Abstract: A method, system, and apparatus for noise cancelation is disclosed herein, which may be used in a wireless unit (WU) and a headset removably connected to the WU. The WU may include a processor, a memory, a user interface, internal microphones and internal speakers. The headset may include microphones and speakers, and be powered by the WU. The WU may receive an ambient noise at microphone(s), including a headset microphone, which may generate a signal based on the ambient noise. The WU processor may then calculate an estimate of the ambient noise based on the signal, calculate an inverse of the estimated ambient noise based on the estimate of the ambient noise, cancel the estimated ambient noise from an audio output signal based on the application of the inverse of the estimated ambient noise, and send the audio output signal to the speakers of the headset or the WU.

Abstract: Systems and methods are disclosed regarding a platform for intuitive, easy and quick searching, analysis, and reporting of patents, patent applications and references. These features may be done on a computing device. The platform may include a user-facing front end software application for interfacing with the user; a back-end processing part that stores, calculates, and outputs data for presenting to the user; and a mid-tier part that facilitates the communication between the front-end and back-end, and dynamically changes the data. The platform may obtain primary patent information about the patents and calculate secondary information based on the primary information. The platform may use parameters based on the primary and secondary information. The user may select parameters and weights to apply to the parameters. The platform may calculate a TrueValue score based upon the parameters and weights. The platform may also include a function for reading in, extracting and storing data.