Yang Ying Li

US Patent:

20070192086, Aug 16, 2007

Filed:

Feb 13, 2006

Appl. No.:

11/352952

Inventors:

Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Hua Zheng - Secaucus NJ, US

International Classification:

G10L 19/00

US Classification:

704200100

Abstract:

The automatic and optimal selection of coding parameter values according to analyses of coding trials is disclosed. The Neural Encoding Model (NEM) provides a method for providing a quantitative measure of the likelihood that a human observer can distinguish an original sensory signal from an approximation thereof, thus providing a metric by which the effect of various coding parameters may be analyzed and optimized. Optimal coding parameters can be defined for an entire data set, such as a digitized audio file, or for discrete portions of the data set. A trial coded data set or portion thereof is analyzed to determining if certain coding parameters have been assigned optimal values. If not, parameter manipulation is performed in an intelligent order and the objective analysis is repeated until predetermined objective perceptual distance criteria are achieved.

US Patent:

20080034026, Feb 7, 2008

Filed:

Aug 1, 2006

Appl. No.:

11/498317

Inventors:

Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Jun Tian - Edison NJ, US
Hua Zheng - Secaucus NJ, US

International Classification:

G06F 17/14
G06F 17/10
G06F 17/40

US Classification:

708409, 702189, 708208, 708403

Abstract:

A method for improving precision in FFT calculations. For each iteration in an FFT implementation, a constant normalization multiplier is inserted such that the dynamic ranges of the input and output are the same. The final FFT output is multiplied by a constant normalization factor given by the number of iterations and the constant normalization multiplier.

US Patent:

20080034027, Feb 7, 2008

Filed:

Aug 1, 2006

Appl. No.:

11/498319

Inventors:

Linfeng Guo - Cliffside Park NJ, US
Yang Li - South Plainfield NJ, US
Mark Sydorenko - New York NY, US
Jun Tian - Edison NJ, US
Hua Zheng - Secaucus NJ, US

International Classification:

G06F 7/38

US Classification:

708551

Abstract:

Round-off error in fixed-point arithmetic is minimized by changing the magnitudes of two multipliers simultaneously. The dynamic range of an intermediate output is thus maximized to increase computation precision. A much smaller round-off error, caused by fixed-point arithmetic, thus results.

US Patent:

20080294446, Nov 27, 2008

Filed:

May 22, 2007

Appl. No.:

11/805245

Inventors:

Linfeng Guo - Cliffside Park NJ, US
Hua Zheng - Secaucus NJ, US
Mark Sydorenko - New York NY, US
Yang Li - South Plainfield NJ, US

International Classification:

G10L 19/00

US Classification:

704501, 704E19001

Abstract:

Source signals, such as audio and/or video data, are encoded into multiple, consecutive frequency bands. These bands are referred to as coding layers. Rather than performing complex bit-slice operations, a disclosed technique enables an agile and simplified response to transmission channel throughput variations. Specifically, if it becomes necessary to restrict the rate of data transmission to avoid receiver buffer underflow resulting from transmission channel degradation, layers from the transmitted signal are omitted, beginning with the highest frequency bands. Efficient and agile bit rate scalability during data streaming through wired or wireless networks and during local playback is thus enabled.

US Patent:

20100292569, Nov 18, 2010

Filed:

Jul 8, 2010

Appl. No.:

12/832780

Inventors:

Andreas H. Hielscher - Brooklyn NY, US
Yang Li - New York NY, US
Andrés Bur - New York NY, US
Molly Flexman - New York NY, US
James Masciotti - , US
Christopher J. Fong - Elk Grove CA, US

Assignee:

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK - New York NY

International Classification:

A61B 6/00
G06K 9/00

US Classification:

600425, 382131

Abstract:

A methods for imaging tissue using diffuse optical tomography with digital detection includes directing at the tissue a plurality of amplitude modulated optical signals from a plurality of optical signal sources illuminating the tissue at a plurality of locations; detecting a resulting plurality of attenuated optical signals exiting the tissue to obtain a plurality of analog signals containing diffuse optical tomographic information; converting the analog signals into digital signals; recovering the tomographic information from the digital signals using a digital signal processor-based detection module that performs digital detection, wherein the detection module includes a master digital signal processing subsystem and at least one slave digital signal processing subsystem that processes at least a portion of the digital signals and the master digital signal processing subsystem controls the at least one slave digital signal processing subsystem; and transmitting the recovered tomographic information in digital form to a host computer.

US Patent:

20210312464, Oct 7, 2021

Filed:

Feb 14, 2019

Appl. No.:

16/968929

Inventors:

- New York NY, US
Yang Li - Jersey City NJ, US
Vidhiben Bharatkumar Sadrani - Jersey City NJ, US
Christopher Fine - Ridgewood NJ, US
Rojer Jie Luo - Los Angeles CA, US

International Classification:

G06Q 20/40
G06Q 20/36
G06Q 30/06
G10L 15/22
G10L 15/26
G10L 15/30

Abstract:

A method of speech recognition ordering may include generating a voice database having a biometric characteristic for each of the different users, and a voice profile for each of the different users. The method may include providing an ordering user interface, receiving speech input including an order from a given user, and determining a given biometric characteristic for the given user. The method may have identifying the given user from the different users by comparing the given biometric characteristic with the biometric characteristic for each of the different users, and performing speech recognition on the speech input using an order database including potential order permutations, the speech recognition being based upon a given voice profile of the given user.

US Patent:

20180079413, Mar 22, 2018

Filed:

Sep 21, 2016

Appl. No.:

15/271681

Inventors:

- Muenchen, DE
Yang LI - West Caldwell NJ, US

International Classification:

B60W 30/18
G05D 1/00
B60W 40/08

Abstract:

A motor vehicle includes a plurality of sensors, a wireless communication unit, and a control device that is configured to receive data from the plurality of sensors and via the wireless communication unit relating to at least one of an environmental condition, a mechanical condition and a health-rated condition. The control unit formats the received data into a predetermined format corresponding to at least one detected condition, and compares the at least one detected condition to a plurality of known conditions. The control unit is further configured to identify a detected known condition when the at least one detected condition matches at least one of the plurality of known conditions, to select, in response to identifying the detected known condition, an automatic autonomous driving mode of the vehicle, and then to execute a predetermined driving maneuver corresponding to the detected known condition.

US Patent:

20150223697, Aug 13, 2015

Filed:

Apr 21, 2015

Appl. No.:

14/691709

Inventors:

- New York NY, US
Christopher J. FONG - New York NY, US
Yang LI - New York NY, US
Andres BUR - New York NY, US
Molly FLEXMAN - New York NY, US
James MASCIOTTI - Denwood MD, US

International Classification:

A61B 5/00

Abstract:

A methods for imaging tissue using diffuse optical tomography with digital detection includes directing at the tissue a plurality of amplitude modulated optical signals from a plurality of optical signal sources illuminating the tissue at a plurality of locations; detecting a resulting plurality of attenuated optical signals exiting the tissue to obtain a plurality of analog signals containing diffuse optical tomographic information; converting the analog signals into digital signals; recovering the tomographic information from the digital signals using a digital signal processor-based detection module that performs digital detection, wherein the detection module includes a master digital signal processing subsystem and at least one slave digital signal processing subsystem that processes at least a portion of the digital signals and the master digital signal processing subsystem controls the at least one slave digital signal processing subsystem; and transmitting the recovered tomographic information in digital form to a host computer.