2013 to 2000 Law ClerkSupreme Court of Delaware Dover, DE 2012 to 2013 Wolcott FellowDelaware County District Attorney's Office Media, PA 2012 to 2012 Certified Legal InternSummer InternPhiladelphia, PA 2011 to 2011Friends of Guy Wayne, PA 2008 to 2008 Campaign ManagerThe Phoenixville Phoenix Phoenixville, PA 2007 to 2008 Staff Writer
Education:
Widener University School of Law Wilmington, DE May 2013 J.D. in summa
2012 to 2000 VIP Account SpecialistChubb Group Of Insurance
2010 to 2000 Cornerstone Customer Service RepresentativeChubb Group Of Insurance Whitehouse Station, NJ 2009 to 2010 Customer Service RepresentativeVerizon Wireless Flemington, NJ 2006 to 2008 Assistant ManagerVerizon Wireless
Mar 2006 to Jul 2006 Senior Sales RepresentativeVerizon Wireless Bridgewater, NJ 2003 to 2006 Retail Sales RepresentativeVerizon
2002 to 2003 GreeterChubb and Son Insurance Bridgewater, NJ 2001 to 2002Sears Parts Panama City, FL 1999 to 2000 Sales Associate
Oct 2009 to 2000 Database ResearcherDow Jones & Company Inc Princeton, NJ Jul 2008 to Jul 2009 Database StatisticianRL Associates Inc Chester, PA Jun 2005 to 2007 Research Technician
Education:
Pennsylvania State University State College, PA Jan 2008 Bachelor of Science in Physics
Skills:
Advanced skills in Microsoft Office suite including Word, Excel, and VBA programming Experience with object oriented programming, with a focus on the Python programming language Proficient in statistical methods, probability theory, and advanced calculus Passed Chartered Financial Analyst (CFA) Level I examination
Us Patents
Multiple Impulse Excitation Speech Encoder And Decoder
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1900
US Classification:
704223, 704201, 704219
Abstract:
A version of a speech signal and an output of a pitch synthesis filter and a linear predictive all-pole (LPC) filter is received. A system impulse response is produced based on in part the received pitch synthesis filter and LPC output. An excitation pulse location is determined so that the determined location minimizes an error between the speech signal version and the system impulse response. The speech signal is encoded with a representation of the determined location.
Determining Linear Predictive Coding Filter Parameters For Encoding A Voice Signal
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1910
US Classification:
704219
Abstract:
Linear predictive coding (LPC) filter parameters are determined for use in encoding a voice signal. Samples of a speech signal using a z-transform function are pre-emphasized. The pre-emphasized samples are analyzed to produce LPC reflection coefficients. The LPC reflection coefficients are quantized by a voiced quantizer and by an unvoiced quantizer producing sets of quantized reflection coefficients. Each set is converted into respective spectral coefficients. The set which produces a smaller lag-spectral distance is determined. The determined set is selected to encode the voice signal.
Determining Linear Predictive Coding Filter Parameters For Encoding A Voice Signal
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1904
US Classification:
704219, 704220, 704222
Abstract:
Linear predictive coding (LPC) filter parameters are determined for use in encoding a voice signal. Samples of a speech signal using a z-transform function are pre-emphasized. The pre-emphasized samples are analyzed to produce LPC reflection coefficients. The LPC reflection coefficients are quantized by a voiced quantizer and by an unvoiced quantizer producing sets of quantized reflection coefficients. Each set is converted into respective spectral coefficients. The set which produces a smaller lag-spectral distance is determined. The determined set is selected to encode the voice signal.
Scott Kurtz - Burlington NJ, US Brian McCarthy - Montgomery PA, US
International Classification:
H04M001/00 H04M003/00
US Classification:
379/346000, 379/406130
Abstract:
A DFT is used to compute the magnitude and phase of the frequencies desired to be detected in a frame of sampled data by performing 2 dot products for each such frequency. The two dot products are calculated using the samples in the frame and an equal number of equally spaced cosine and sine coefficients for each frequency to be detected.
Scott Kurtz - Burlington NJ, US Brian McCarthy - Lafayette Hill PA, US
International Classification:
H04M009/08
US Classification:
379/406010
Abstract:
A method of echo cancellation for a signal transmission system in which the size of the step used to adapt filter coefficients is adjusted in accordance with the echo delay and in which stationary signals are avoided by determining when the mean and variance of coefficients obtained from a second order linear predictive coding analysis of successive far end samples exceed preset thresholds.
Daniel Lin - Montville NJ, US Brian M. McCarthy - Lafayette Hill PA, US
Assignee:
INTERDIGITAL TECHNOLOGY CORPORATION - Wilmington DE
International Classification:
G10L 19/00
US Classification:
704219, 704E19024, 704220
Abstract:
The present invention is a synthetic speech encoding device that produces a synthetic speech signal which closely matches an actual speech signal. The actual speech signal is digitized, and excitation pulses are selected by minimizing the error between the actual and synthetic speech signals. The preferred pattern of excitation pulses needed to produce the synthetic speech signal is obtained by using an excitation pattern containing a multiplicity of weighted pulses at timed positions. The selection of the location and amplitude of each excitation pulse is obtained by minimizing an error criterion between the synthetic speech signal and the actual speech signal. The error criterion function incorporates a perceptual weighting filter which shapes the error spectrum.
Communication Signal Compression System And Method
Daniel Lin - Montville NJ Scott D. Kurtz - Mount Laurel NJ Brian M. McCarthy - Lafayette Hill PA James M. Kresse - Marlton NJ
Assignee:
International Mobile Machines Corporation - King of Prussia PA
International Classification:
H04N 141
US Classification:
358426
Abstract:
A telecommunication system and method for communicating communication signals between various stations over a selected carrier medium. An improved encoder and method is provided for compressing a communication signal into a selectively formatted encoded signal to facilitate its transmission over the selected carrier medium. The method is particularly useful for encoding fax and modem data signals which do not exhibit the harmonics of a voice signal. A decoder and method for reconstruction of the encoded signal are also provided.
Communication Signal Compression System And Method
Daniel Lin - Montville NJ Scott D. Kurtz - Mount Laurel NJ Brian M. McCarthy - Lafayette Hill PA James M. Kresse - Marlton NJ
Assignee:
International Mobile Machines Corporation - King of Prussia PA
International Classification:
H04N 141
US Classification:
358426
Abstract:
A telecommunication system and method for communicating communication signals between various stations over a selected carrier medium. An improved encoder and method is provided for compressing a communication signal into a selectively formatted encoded signal to facilitate its transmission over the selected carrier medium. The method is particularly useful for encoding fax and modem data signals which do not exhibit the harmonics of a voice signal. A decoder and method for reconstruction of the encoded signal are also provided.
Medicine Doctors
Brian W Mccarthy, Philadelphia PA - CRNA (Certified registered nurse anesthetist)