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Stefano Casadei

from Cambridge, MA
Age ~58
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Also known as:
Srefano Casadei, Stefano Casdei, Stefano Yu
Phone and address:
34 William St, Cambridge, MA 02139
(617) 354-3837
Related to:
Lee L Chung, 39Chun Yu, 57Alice Yu, 47Yushan Wu, 42Yu F Tsang, 50Yuehua YuLan Yu, 44
Connected to:
Christopher Casadei, 74Sharon M Casadei, 49Thomas A Casadevall, 100Ginna P Casadiego, 71Carlos D Casadio, 43Adriana Y Casado, 41Alan J Casado, 27Albert Casado, 69Angel CasadoCaridad Casado, 57

Stefano Casadei Phones & Addresses

  • 34 William St, Cambridge, MA 02139 (617) 354-3837
  • 4 William St, Cambridge, MA 02139
  • 1550 Bay St, San Francisco, CA 94123 (415) 440-1016
  • San Rafael, CA
  • Belmont, MA
  • South San Francisco, CA
  • Boston, MA
  • 4 William St APT 3, Cambridge, MA 02139

Education

Degree: Associate degree or higher

Resumes

Resumes

Stefano Casadei Photo 1

Stefano Casadei

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Location:
34 William St, Cambridge, MA 02139
Industry:
Research
Work:
Enuvis 2001 - 2002
Intellectual Property Manager
Education:
Massachusetts Institute of Technology 1990 - 1996
Università Di Pisa 1984 - 1988
Skills:
Matlab
Physics
Research
C++
Data Analysis
R&D
Software Development
Algorithms
Systems Engineering
Machine Learning
Latex
Analysis
Engineering
Data Mining
Mathematical Modeling
Stefano Casadei Photo 2

Stefano Casadei

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Publications

Us Patents

Extracting Fine-Tuned Estimates From Correlation Functions Evaluated At A Limited Number Of Values

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US Patent:
7027534, Apr 11, 2006
Filed:
Jun 22, 2001
Appl. No.:
09/888338
Inventors:
Anant Sahai - San Mateo CA, US
John Tsitsiklis - Lexington MA, US
Stefano Casadei - San Francisco CA, US
Andrew Chou - San Mateo CA, US
Benjamin Van Roy - San Mateo CA, US
Jesse Robert Stone - Palo Alto CA, US
Assignee:
SiRF Technology, Inc. - San Jose CA
International Classification:
H03D 1/00
H04L 27/06
US Classification:
375343, 375350
Abstract:
Techniques are provided for fine-tuning estimates of a delay value for a sampled signal. One aspect of the invention is to perform, for the sampled signal, coarse-grained calculations of the In Phase and Quadrature (I and Q) correlation integrals at a limited number of points, wherein the calculations are performed over a range of hypothesized delay values. A range of delay values of interest are then determined from the coarse-grained calculations of the I and Q correlation integrals. A subset of I and Q values based on the coarse granularity calculations of the I and Q correlation functions is used to perform a time-domain interpolation to obtain fine-grained values of the I and Q integrals in the range of the delay values of interest. Magnitude calculations are performed based on the fine-grained values of the I and Q integrals. Fine-tuned estimates of delay value are based on the magnitude calculations.

System And Method To Estimate The Location Of A Receiver In A Multi-Path Environment

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US Patent:
7030814, Apr 18, 2006
Filed:
Sep 6, 2002
Appl. No.:
10/237556
Inventors:
Jesse Stone - Palo Alto CA, US
Stefano Casadei - Cambridge MA, US
Wallace Mann - Mill Valley CA, US
Benjamin Van Roy - San Mateo CA, US
Assignee:
SiRF Technology, Inc. - San Jose CA
International Classification:
G01S 3/02
US Classification:
342451, 342108
Abstract:
System and method to determine the location of a receiver in a multipath environment are provided. The received signal is correlated with the reference signals associated with the transmitting sources. Each correlation function is processed to derive various types of signal constraints, such as probability densities and uncertainty regions or intervals. In some embodiments, these constraints are for the code-phases and the Doppler frequencies. These signal constraints are transformed into constraints on the receiver variables and then fused together into a unified receiver constraint. A-priori constraints, such as constraints on the location of the receiver or the timestamp, may be incorporated into the unified receiver constraint. Some embodiments estimate a location based also on the estimated Doppler frequency. The constraints used by the invention are based on models of multipath effects and are geared towards mitigating these effects.

Hierarchical Method And System For Pattern Recognition And Edge Detection

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US Patent:
7738705, Jun 15, 2010
Filed:
Jun 23, 2005
Appl. No.:
11/167042
Inventors:
Stefano Casadei - Cambridge MA, US
International Classification:
G06K 9/36
US Classification:
382181, 382191, 382282, 382305
Abstract:
A method and a system for pattern recognition utilizes an ensemble of reference patterns to represent the possible instances of the models to be recognized; constructs a hierarchy of estimators to simplify and enhance the recognition of the models of interest; approximates complex reference patterns with linear compositions of simpler patterns; fragments complex patterns into local patterns so that interference between the local patterns is sufficiently small for linearization methods to be applicable; constructs estimators during an offline stage to offload calculations from the online signal processing stage; designs model estimators based on optimization principles to enhance performance and to provide performance metrics for the estimated model instances; generates a hierarchy of reference descriptors during the offline stage, which are used for the design and construction of the model estimators. Specific examples are provided for the recognition of image features such as edges and junctions.

Estimation Of Image Motion, Luminance Variations And Time-Varying Image Aberrations

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US Patent:
20080069459, Mar 20, 2008
Filed:
Sep 19, 2007
Appl. No.:
11/857842
Inventors:
Stefano Casadei - Cambridge MA, US
International Classification:
G06K 9/36
US Classification:
382236000, 382248000
Abstract:
A method is disclosed to jointly estimate genuine image motion, luminance variations, and time-varying image aberrations. The method takes into account in a natural way the dependence of image aberrations both on spatial coordinates and spatial frequency. A novel hybrid model of image aberrations is introduced which combines a frequency domain constraint with linearization in the spatial domain. A search is performed for homogeneous data blocks delimited in space, time and spatial frequency in which image aberrations are well described by a low-order model. A windowed Fourier transform is used to convert the input data into a representation that is suitable for this type of hybrid modeling. A local linear parametrization of image changes is introduced, leading to a fast linear estimation algorithm.

Determining The Spatio-Temporal And Kinematic Parameters Of A Signal Receiver And Its Clock By Information Fusion

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US Patent:
6542116, Apr 1, 2003
Filed:
Jun 22, 2001
Appl. No.:
09/888229
Inventors:
Anant Sahai - San Mateo CA
Andrew Chou - San Mateo CA
Wallace Mann - Mill Valley CA
Stefano Casadei - San Francisco CA
Assignee:
Enuvis, Inc. - South San Francisco CA
International Classification:
H04B 7185
US Classification:
34235712
Abstract:
To determine the clock doppler of a signal receiver, sampled data received from a receiver into are divided into data segments of incremental length. The clock doppler is estimated based on correlating each data segment with the expected signal from each satellite, from a set of satellites, that is overhead the receiver. For each data segment, the correlated result of each satellite is used to refine subsequent calculations of the clock doppler of the next overhead satellite. When the clock doppler calculations for a data segment have been performed using all overhead satellites from the set of satellites, then the results for that data segment are used to refine the calculations for the next data segment. If a current bounds for the clock doppler value is within a pre-determined clock doppler bound-width value and a current bounds for a delay value is within a pre-determined delay bound-width value, then a magnitude template is determined using magnitude calculations of the I and Q correlation integrals obtained at various clock doppler values and various delay values.
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Stefano Casadei from Cambridge, MA, age ~58 Get Report