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| 20090030663 | SYSTEM AND METHOD FOR MODELING STOCHASTIC BEHAVIOR OF A SYSTEM OF N SIMILAR STATISTICAL VARIABLES - A system and method for modeling stochastic behavior of a system of N similar statistical variables using N uncorrelated/independent random model parameters. More particularly, a system and method of modeling device across chip variations and device mismatch. The method includes modeling stochastic behavior of a system of N similar statistical variables using N uncorrelated/independent random model parameters. The method includes providing a system of N similar statistical variables, wherein each stochastic variable has a same standard deviation. The method further includes partially correlating each and every pair of stochastic variables among N variables, wherein a degree of partial correlation is a same for all pairs of variables. A statistical model is constructed to represent a system of N stochastic variables in which only N independent stochastic model parameters are used. A one-to-one mapping relation exists between N model parameters and the N variables. The method further includes finding unique values of the N model parameters given a set of values of the N variables. Reversely, the method also includes finding the values of the N variables given a set of values of the N model parameters. | 01-29-2009 |
| 20090204365 | MODELING SPATIAL CORRELATIONS - Modeling spatial correlations of semiconductor characteristic variations is disclosed. In one embodiment, a method includes developing a solution for each of a plurality of specific forms of spatial correlations of a characteristic of a circuit design and developing a plurality of solution methods for a given spatial correlation; selecting one of the solutions that is closest to a desired spatial correlation; and modeling the desired spatial correlation using the selected solution. | 08-13-2009 |
| 20110093242 | Method and System for Constructing Corner Models for Multiple Performance Targets - A method, system and article of manufacture are disclosed for constructing corner models for multiple performance targets for circuit simulations. The method includes identifying N (N≧2) device and/or circuit performance targets F | 04-21-2011 |
| 20110213587 | METHOD AND COMPUTER PROGRAM PRODUCT FOR FINDING STATISTICAL BOUNDS, CORRESPONDING PARAMETER CORNERS, AND A PROBABILITY DENSITY FUNCTION OF A PERFORMANCE TARGET FOR A CIRCUIT - Disclosed are embodiments of a method and an associated computer program product for finding the statistical bounds, the corresponding parameter corners and the probability density function of one or more performance targets for a circuit without requiring Monte Carlo simulation runs. To accomplish this, a joint probability density function for independent parameters that affect the performance target can be constructed. Then, based on the joint probability density function, the statistical bounds of the performance target can be found by constructing an equal-probability-density surface of the joint probability density function and solving a constrained optimization problem on that equal-probability-density surface. Once the statistical bounds are determined, the corresponding parameter corners for the performance target can also be determined. After obtaining multiple statistical bounds corresponding to different accumulated probability density, the probability density function of the performance target can also be obtained. | 09-01-2011 |
| 20120035892 | METHOD AND SYSTEM OF DEVELOPING CORNER MODELS FOR VARIOUS CLASSES ON NONLINEAR SYSTEMS - A method, system and article of manufacture are disclosed for developing corner models for various classes of nonlinear systems. The method comprises the steps of determining whether an explicit relationship between one or more performance targets vs. statistical model parameters is known; and deciding, when an explicit relationship between one or more performance targets vs. statistical model parameters is known, whether the relationship is linear or nonlinear. The relationship is constructed in the fractional form when an explicit relationship between one or more performance targets vs. statistical model parameters is not known. In one embodiment, the invention provides an optimal corner model solution for a single performance target, which varies with statistical parameters nonlinearly. In another embodiment, the invention provides an optimal and common corner model solution for multiple performance targets which vary with statistical model parameters nonlinearly. A step of decreasing the order of a target function on statistical model parameters may be used in the process of generating corner models. | 02-09-2012 |
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| 20090146853 | Scalable context adaptive binary arithmetic coding - One embodiment of the invention concerns performing renormalization in content adaptive binary arithmetic coding (CABAC) only after multiple bins are processed. | 06-11-2009 |
| 20090167775 | MOTION ESTIMATION COMPATIBLE WITH MULTIPLE STANDARDS - A motion estimation engine may be implemented to support multiple video encoding standards. The motion estimation engine may be designed to support two macroblock partitioning modes: one for frame type video signals and the other for mixed frame-field type video signals. Additionally, the motion estimation engine provides the mixing unidirectional option (forward/backward) and the mixing bidirectional option. Furthermore, the motion estimation engine may use a unified 4-tap interpolation filter for fractional macroblock search during motion estimation. | 07-02-2009 |
| 20090168871 | Video motion estimation - In accordance with some embodiments of the present invention, distortion may be calculated using hardware for purposes of motion estimation. The distortion may be determined in the frequency domain. In some embodiments, a modified Haar wavelet transform may be utilized. The penalty in terms of the number of motion vectors may be determined for each location to achieve better distortion in some embodiments. A look up table may be utilized to determine an acceptable penalty. In some cases, the user can input information about an acceptable penalty. | 07-02-2009 |
| 20090168881 | CONFIGURABLE MOTION ESTIMATION - In some embodiments, a motion estimation method and engine are provided. | 07-02-2009 |
| 20090168883 | CONFIGURABLE PERFORMANCE MOTION ESTIMATION FOR VIDEO ENCODING - A motion estimation engine may be implemented to include a skip checking module, an integer search module, a macroblock partitioning module, a fractional search module, a bidirectional motion estimation refinement module, and an intra search module. The motion estimation engine may perform fractional search/bidirectional motion estimation refinement and intra search in parallel. Additionally, modules in the motion estimation engine may be partially or fully turned on or off to accommodate different motion estimation requirements. Furthermore, the motion estimation engine may implement early exit strategy to further save computation. | 07-02-2009 |
