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Texas Instruments : Patent Issued for Method and System for Acoustic Echo Cancellation Using Cascaded Kalman Filtering (USPTO 9729968)

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08/17/2017 | 07:13pm CEST

By a News Reporter-Staff News Editor at Journal of Engineering -- TEXAS INSTRUMENTS INCORPORATED (Dallas, TX) has been issued patent number 9729968, according to news reporting originating out of Alexandria, Virginia, by VerticalNews editors.

The patent's inventor is Ikram, Muhammad Zubair (Richardson, TX).

This patent was filed on March 4, 2015 and was published online on August 8, 2017.

From the background information supplied by the inventors, news correspondents obtained the following quote: "Field of the Invention

"Embodiments of the present invention generally relate to a method and system for acoustic echo cancellation using cascaded Kalman filtering.

"Description of the Related Art

"Acoustic echo cancellation (AEC) has been an area of active research for the past many decades. As AEC is implemented in newer and sophisticated devices, it is expected that its performance is also improved over the devices of prior generation. Various aspects of AEC have been investigated in the past; this includes double-talk, convergence, stereo-echo cancellation, etc. One of the issues that has limited the performance of a practical echo canceller is non-linearity of the echo path. A typical echo canceller is designed assuming that the echo path is linear and modeled by a linear finite impulse response (FIR) filter. Consequently, the echo cancelling filter is also modeled as linear. In practical applications, like cell phones, the echo path is non-linear because of imperfections introduced by the data converter, amplifier and the loudspeaker operating close to saturation. Attempting to cancel non-linear echo using a linear FIR filter leaves residual echo in the uplink signal resulting in annoying user experience.

"Several methods have been proposed in the past to address the non-linear echo cancellation. Popular among them are the Volterra filter based methods. These methods, however, suffer from high complexity because of large number of filter parameters to adapt. A large class of methods started with an assumption of a non-linear model. There are mainly two such models; memoryless non-linearity is used for smaller loudspeakers used in portable hand-held devices like cell phones. On the other hand, non-linearity with memory is generally employed in high-end audio devices like precision audio systems.

"Therefore, there is a need for a method and/or system for an improved acoustic echo cancellation in the presence of unavoidable non-linearity in the echo path."

Supplementing the background information on this patent, VerticalNews reporters also obtained the inventor's summary information for this patent: "Embodiments of the present invention relate to a method and a system for echo cancellation. The method includes receiving incoming downlink signal sample, performing Kalman filter time update of linear filter, constructing data matrix for linear filter adaptation, performing Kalman filter measurements update on linear filter, performing Kalman filter time update on non-linear filter, constructing data matrix for non-linear filter adaptation, performing Kalman filter measurements update on non-linear filter, generating echo signal using adapted linear and non-linear filters subtracting the echo from microphone signal to generate echo free uplink signal, and sending the echo free signal to the far-end."

For the URL and additional information on this patent, see: Ikram, Muhammad Zubair. Method and System for Acoustic Echo Cancellation Using Cascaded Kalman Filtering. U.S. Patent Number 9729968, filed March 4, 2015, and published online on August 8, 2017. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=9729968.PN.&OS=PN/9729968RS=PN/9729968

Keywords for this news article include: TEXAS INSTRUMENTS INCORPORATED.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2017, NewsRx LLC

(c) 2017 NewsRx LLC, source Science Newsletters

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