Abstract:
A method, and components for performing such method, is provided for synchronizing multiple user signals in a multi-user communication system. An interference matrix is generated based on time delay and frequency offset information for the active users accessing an OFDMA uplink receiver. User signals are received from the active users and are segmented into blocks, and the interference matrix is applied to each of the blocks. The received user signal is OFDM demodulated and unused sub-carriers are discarded. Typically, the method includes also applying a factorization matrix formed by factoring a correction matrix created from the interference matrix and an inverse matrix formed based on the factoring results to the user signal blocks, e.g., the correction step includes multiplying each of the blocks from the user signal by each of these three matrices. The corrected user blocks are then concatenated to form a corrected vector signal.
Abstract:
A method for operating an electronic device includes detecting, by a touchscreen controller, a touch point on a touchscreen; determining, by the touchscreen controller, coordinates of the touch point; scaling, by the touchscreen controller, up the coordinates of the touch point to obtain scaled up coordinates by overwriting a reserved portion of a touch event protocol with additional information corresponding to the coordinates of the touch point; reporting, by the touchscreen controller, the scaled up coordinates of the touch point to an application processor; and determining, by the application processor, the coordinates of the touch point with an increased resolution by converting the scaled up coordinates into a floating point value.
Abstract:
Some microprocessors check branch prediction information in a branch history table and/or a branch target buffer. To check for branch prediction information, a microprocessor can identify which instructions are control flow instructions and which instructions are non control flow instructions. To reduce power consumption in the branch history table and/or branch target buffer, the branch history table and/or branch target buffer can check for branch prediction information corresponding to the control flow Instructions and not the non control flow instructions.
Abstract:
A system for recovering an architecture register mapping table (ARMT). The system includes a first number of collection circuits and decode circuits, a second number of selection circuits, and an enable circuit. Information related to the mapping between each physical register and an appropriate architecture register is obtained from a physical register mapping table (PRMT) by one and only one collection circuit during only one of a fourth number of instruction cycles. Each decode circuit has its input coupled to the output of one different collection circuit and is capable of converting its input into a third number bit wide binary string selection code at its output. Each selection circuit is configured to receive from each selection code a bit from a bit position associated with that selection circuit. The enable circuit is configured to appropriately enable mapping of information from the PRMT to the ARMT.
Abstract:
An active-set PAR reduction method has low computation cost and delay. Peak canceling, by adding up the original signal and the peak canceling signal, is done only after the final peak canceling signal that can reduce all peaks of the resultant signal below the desired peak level is generated with an iterative method or a maximum iteration is reached. The PAR reduction method cancels the high computation cost for accumulating the peak-canceling effort into each sample every iteration. In the i -th iteration, the method attempts to resolve an intermediate peak canceling signal that can reduce the i peaks of the resultant signal to the desired peak level. The method only calculates the samples of the intermediate peak canceling signal and performs balance testing in some locations where the peak level of the original signal is larger than a selected threshold.
Abstract:
A blind carrier frequency offset estimator is based on a single-OFDM-symbol training sequence in multi-user OFDMA uplink. Through multiple access interference modeling and analysis, a virtual user is employed that occupies the all null sub-carriers. By minimizing the energy leakage on the virtual user in term of tentative frequency offsets, the estimator can approach the real frequency offset. The estimator performs only on frequency-domain, simplifies interference calculations, and lowers the rank of the matrix. An iterative computation method is used to approach the real frequency offset.
Abstract:
A system and method for predicting the execution of a branch of computer-executable Instructions. In an embodiment, a branch predictor may include a program-counter register operable to store a program-counter value and a branch-history register operable to store a branch-history value. Additionally, the branch predictor may include a prediction hash table having a plurality of prediction values each uniquely corresponding to a plurality of memory locations. With these components, the branch predictor may generate a first prediction value that corresponds to the program-counter value and may generate a second prediction value that corresponds to a logical combination of the program-counter value and the branch-history value. With these two prediction values obtained from two different prediction schemas, the branch predictor is better suited to generate an overall prediction value based on the first and second prediction values that is more accurate than a single prediction value based upon a single prediction schema.
Abstract:
A system and method for predicting the execution of a branch of computer-executable Instructions. In an embodiment, a branch predictor may include a program-counter register operable to store a program-counter value and a branch-history register operable to store a branch-history value. Additionally, the branch predictor may include a prediction hash table having a plurality of prediction values each uniquely corresponding to a plurality of memory locations. With these components, the branch predictor may generate a first prediction value that corresponds to the program-counter value and may generate a second prediction value that corresponds to a logical combination of the program-counter value and the branch-history value. With these two prediction values obtained from two different prediction schemas, the branch predictor is better suited to generate an overall prediction value based on the first and second prediction values that is more accurate than a single prediction value based upon a single prediction schema.