270 Matterhorn Dr, Park City, UT 84098 • 4356581864
7600 Glenwild Dr, Park City, UT 84098
Scottsdale, AZ
5255 Rawhide St, Apache Junction, AZ 85219 • 4806716197
Livonia, MI
Tucson, AZ
Cave Creek, AZ
Work
Company:
Prudential Utah Real Estate
Address:
270 Matterhorn Drive, Park City, UT 84098
Phones:
4356400590
Education
School / High School:
KELLER GRADUATE SCHOOL OF MANAGEMENT- Phoenix, AZ
2010
Specialities:
Master of Business Administration in Project Management
Skills
Self-motivated • independent Willing to embrace challeng... • self-reliance Problem-solving • crisis management Ability to deal with ... • open-mindedness General travel and navi... • tenacity • a willingness to take risks and an adven...
Mar 2007 to 2000 Field Service EngineerCore Power Services (CPS) Fremont, CA Jun 2006 to Mar 2007 Technical Support EngineerBank of America Concord, CA Jun 2005 to Jun 2006 Customer Service Account ManagerLand Resource and Development Corporation Pleasant Hill, CA Aug 2003 to Jun 2005 Office Manager for Vice President of MarketingFarmers Rice Co-op Sacramento, CA Sep 2000 to Aug 2003 Quality & Maintenance EngineerArizona Republic Surprise, AZ Jan 1998 to Mar 2000 Assistant District Service Manager
Education:
KELLER GRADUATE SCHOOL OF MANAGEMENT Phoenix, AZ 2010 Master of Business Administration in Project ManagementDEVRY UNIVERSITY Fremont, CA 2007 Bachelor of Science in Electronic Engineering Technology
Skills:
Self-motivated, independent Willing to embrace challenges Flexible and adaptable Able to cope with diverse problems and situations Communication skills (listening & communicating carefully to overcome language barriers) Independence, self-reliance Problem-solving, crisis management Ability to deal with ambiguity Inquisitiveness, open-mindedness General travel and navigational skills Foreign language skills Perseverance and resourcefulness Creative initiative, tenacity, a willingness to take risks and an adventurous spirit
Prudential Main Street Park City, UT 4356400590 (Phone) License #4527
Interests:
PARK CITY'S LUXURY HOME TOUR & AUCTION supporting the PEACE HOUSE
Park City Motorcycle club
About:
Serving Glenwild, Ranches at the Preserve, Stagecoach Estates, The Trails of Jeremy and all of the Kimball Junction areas. NoBody Knows Glenwild Like Ramon & now the Ranches at the Preserve Too! Why do I make this statement… Well, it really is simple…I came to Park City in the spring of 2001 to help create Utah’s premier private golf community, the pristine Glenwild. I was part of the team that developed the philosophy of what Glenwild would become. What always struck me as one of Glenwild’s strong points was that it only has 199 home-sites, on just over 1,000 acres. This means the homes sites are large while maintaining the true feeling of community. Speaking of large lots, in the Ranches at the Preserve, just above Glenwild, I have sold more than anyone in the past two years. These are just a few of the reasons that NoBody Knows Glenwild/Ranches Like I Do…
Prudential Utah Real Estate 270 Matterhorn Drive, Park City, UT 84098 4356400590 (Office)
Description:
Put me to work for you! Your home is one of the biggest negotiations of your life. Mistakes can be extremely costly. How good is the agent representing you at the negotiating table? Let me help you find the best home for the best price. Put my experience and track record to work for you. Whether you are a first time buyer or an experienced investor, I can help you with choosing the "right" property, making an offer, negotiating, financing, mortgage rates, moving, and everything involved in making an informed real estate decision in today's market.
Dr. Gomez graduated from the University of Illinois, Chicago College of Medicine in 1994. He works in Santa Paula, CA and specializes in Family Medicine. Dr. Gomez is affiliated with Ventura County Medical Center.
Dr. Gomez graduated from the University of the East - Ramon Magsaysay Memorial Medical Center, Quezon City, Philippines in 1978. He works in Danville, VA and specializes in Emergency Medicine. Dr. Gomez is affiliated with Danville Regional Medical Center.
Us Patents
Imbalance And Distortion Cancellation For Composite Analog To Digital Converter (Adc)
Thomas J. Kolze - Phoenix AZ, US Bruce J. Currivan - Dove Canyon CA, US Ramon Gomez - San Juan Capistrano CA, US Loke Tan - Newport Coast CA, US Lin He - Irvine CA, US
Assignee:
Broadcom Corporation - Irvine CA
International Classification:
H03M 1/06
US Classification:
341118, 341119, 341120, 341139, 341155, 341159
Abstract:
Imbalance and distortion cancellation for composite analog to digital converter (ADC). Such an ‘ADC’ is implemented using two or more ADCs may be employed for sampling (e. g. , quantizing, digitizing, etc. ) of an analog (e. g. , continuous time) signal in accordance with generating a digital (e. g. , discrete time) signal. Using at least two ADCs allows for the accommodation and sampling of various signals having a much broader dynamic range without suffering degradation in signal to noise ratio (SNR). Generally, the signal provided via at least one of the paths corresponding to at least one of the respective ADCs is scaled (e. g. , attenuated), so that the various ADCs effectively sample signals of different magnitudes. The ADCs may respectively correspond to different magnitude and/or power levels (e. g. , high power, lower power, any intermediary power level, etc. ).
Distortion And Aliasing Reduction For Digital To Analog Conversion
Thomas J. Kolze - Phoenix AZ, US Bruce J. Currivan - Dove Canyon CA, US Ramon A. Gomez - San Juan Capistrano CA, US
Assignee:
Broadcom Corporation - Irvine CA
International Classification:
H04L 1/02 H04L 25/03 H04L 25/49
US Classification:
375296, 398193, 4551142
Abstract:
Distortion and aliasing reduction for digital to analog conversion. Synthesis of one or more distortion terms made based on a digital signal (e. g. , one or more digital codewords) is performed in accordance with digital to analog conversion. The one or more distortion terms may correspond to aliased higher-order harmonics, distortion, nonlinearities, clipping, etc. Such distortion terms may be known a priori, such as based upon particular characteristics of a given device, operational history, etc. Alternatively, such distortion terms may be determined based upon operation of a device and/or based upon an analog signal generated from the analog to conversion process. For example, frequency selective measurements made based on an analog signal generated from the digital to analog conversion may be used for determination of and/or adaptation of the one or more distortion terms. One or more DACs may be employed within various architectures operative to perform digital to analog conversion.
Distortion And Aliasing Reduction For Digital To Analog Conversion
Thomas J. Kolze - Phoenix AZ, US Bruce J. Currivan - Dove Canyon CA, US Ramon A. Gomez - San Juan Capistrano CA, US
Assignee:
Broadcom Corporation - Irvine CA
International Classification:
H04K 1/02 H04L 25/03 H04L 25/49
US Classification:
375296, 398192, 398193, 4551142, 4551143
Abstract:
Distortion and aliasing reduction for digital to analog conversion. Synthesis of one or more distortion terms made based on a digital signal (e. g. , one or more digital codewords) is performed in accordance with digital to analog conversion. The one or more distortion terms may correspond to aliased higher-order harmonics, distortion, nonlinearities, clipping, etc. Such distortion terms may be known a priori, such as based upon particular characteristics of a given device, operational history, etc. Alternatively, such distortion terms may be determined based upon operation of a device and/or based upon an analog signal generated from the analog to conversion process. For example, frequency selective measurements made based on an analog signal generated from the digital to analog conversion may be used for determination of and/or adaptation of the one or more distortion terms. One or more DACs may be employed within various architectures operative to perform digital to analog conversion.
Distortion And Aliasing Reduction For Digital To Analog Conversion
Thomas J. Kolze - Phoenix AZ, US Bruce J. Currivan - Dove Canyon CA, US Ramon A. Gomez - San Juan Capistrano CA, US Kevin Lee Miller - Lawrenceville GA, US
Assignee:
Broadcom Corporation - Irvine CA
International Classification:
H04K 1/02 H04L 25/03 H04L 25/49
US Classification:
375296, 398192, 398193, 4551142, 4551143
Abstract:
Distortion and aliasing reduction for digital to analog conversion. Synthesis of one or more distortion terms made based on a digital signal (e. g. , one or more digital codewords) is performed in accordance with digital to analog conversion. The one or more distortion terms may correspond to aliased higher-order harmonics, distortion, nonlinearities, clipping, etc. Such distortion terms may be known a priori, such as based upon particular characteristics of a given device, operational history, etc. Alternatively, such distortion terms may be determined based upon operation of a device and/or based upon an analog signal generated from the analog to conversion process. For example, frequency selective measurements made based on an analog signal generated from the digital to analog conversion may be used for determination of and/or adaptation of the one or more distortion terms. One or more DACs may be employed within various architectures operative to perform digital to analog conversion.
Imbalance And Distortion Cancellation For Composite Analog To Digital Converter (Adc)
Thomas J. Kolze - Phoenix AZ, US Bruce J. Currivan - Dove Canyon CA, US Ramon Gomez - San Juan Capistrano CA, US Loke Tan - Newport Coast CA, US Lin He - Irvine CA, US
Assignee:
BROADCOM CORPORATION - IRVINE CA
International Classification:
H03M 1/06
US Classification:
341118
Abstract:
Imbalance and distortion cancellation for composite analog to digital converter (ADC). Such an ‘ADC’ is implemented using two or more ADCs may be employed for sampling (e.g., quantizing, digitizing, etc.) of an analog (e.g., continuous time) signal in accordance with generating a digital (e.g., discrete time) signal. Using at least two ADCs allows for the accommodation and sampling of various signals having a much broader dynamic range without suffering degradation in signal to noise ratio (SNR). Generally, the signal provided via at least one of the paths corresponding to at least one of the respective ADCs is scaled (e.g., attenuated), so that the various ADCs effectively sample signals of different magnitudes. The ADCs may respectively correspond to different magnitude and/or power levels (e.g., high power, lower power, any intermediary power level, etc.). Various implementations of compensation may be performed along the various paths corresponding to the respective ADCs.
, where they operate their services in data centers hosted by big companies. But Ramon Gomez, a security professional at a hosting provider, sounded the alarm and said that vendors should do a better job of telling users when large numbers of them are suffering the same kinds of problems or attacks.