Abstract: A computer system includes a three-dimensional model of an object such as a piece of jewelry. The model is divided into multiple layers, each of which contains one or more components of the object. Each layer is associated with one or more attribute types, each of which is associated with a corresponding plurality of possible attribute values. The system pre-renders each layer with each possible attribute type and each possible attribute value for that type and layer. The resulting layer renderings may be combined with each other to produce personalized renderings of the entire object without the need to pre-render all possible combinations of attribute values. Responsibility for rendering the layers and the final complete object personalization may be divided between client and server in a variety of ways to increase efficiency.

Abstract: A computer system includes a three-dimensional model of an object such as a piece of jewelry. The model is divided into multiple layers, each of which contains one or more components of the object. Each layer is associated with one or more attribute types, each of which is associated with a corresponding plurality of possible attribute values. The system pre-renders each layer with each possible attribute type and each possible attribute value for that type and layer. The resulting layer renderings may be combined with each other to produce personalized renderings of the entire object without the need to pre-render all possible combinations of attribute values. Responsibility for rendering the layers and the final complete object personalization may be divided between client and server in a variety of ways to increase efficiency.

Abstract: Techniques for estimating signal quality in a communication system are described. Scaled errors are obtained for inphase (I) and quadrature (Q) components of detected symbols. The scaled errors are determined based on a first function having higher resolution for small errors than large errors between the detected symbols and nearest modulation symbols. The first function may be a square root function or some other function that can provide good resolution for both low and high SNRs. The scaled errors for the I and Q components are combined to obtain combined scaled errors, which are averaged to obtain an average scaled error. A signal quality estimate is then determined based on the average scaled error and in accordance with a second function having non-linearity to compensate for the first function.

Abstract: Techniques to perform beam-steering and beam-forming to transmit data on a single eigenmode in a wideband multiple-input channel. In one method, a steering vector is obtained for each of a number of subbands. Depending on how the steering vectors are defined, beam-steering or beam-forming can be achieved for each subband. The total transmit power is allocated to the subbands based on a particular power allocation scheme (e.g., full channel inversion, selective channel inversion, water-filling, or uniform). A scaling value is then obtained for each subband based on its allocated transmit power. Data to be transmitted is coded and modulated to provide modulation symbols. The modulation symbols to be transmitted on each subband are scaled with the subband's scaling value and further preconditioned with the subband's steering vector. A stream of preconditioned symbols is then formed for each transmit antenna.