| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 708306000 | Finite arithmetic effect | 9 |
| 20080256157 | Information Processing Device and Information Processing Method - An information processing device for processing reception signals converted into digital signals, includes: a first conversion unit for executing sampling rate conversion of each of the digital signals to be computed with each tap coefficient of a K'th-order FIR filter; a filter computing unit for executing computation processing of the K'th order FIR filter on K digital signals each of which have been subjected to sampling rate conversion by the first conversion unit; and a control unit for controlling sampling rate conversion of the digital signals by the first conversion unit, and the computation processing of the K'th order FIR filter by the filter computing unit. | 10-16-2008 |
| 20090019101 | COEFFICIENT CONTROL FOR FILTER IN MAGNETIC MEDIA READ CHANNEL - A read channel of a magnetic data storage device includes a filter to provide equalization of the signal being detected from the magnetic media. The filter utilizes coefficients for the filter response. The filter coefficients may drift sideways over time. The drift is detected and a correction is implemented by imposing a leakage on the coefficients to re-center the filter response. The leakage sign differs depending on the direction of drift detected. | 01-15-2009 |
| 20090019102 | COEFFICIENT MEMORY FOR LEAST MEAN SQUARE FINITE IMPULSE RESPONSE FILTER - A read channel of a magnetic recording apparatus includes a filter that uses filter coefficients to process the data detected by a read head from the magnetic recordable media. The coefficients change with time and circumstances. When data is read and found to pass error detection, the filter coefficient set used for the data is stored in a memory as a last good coefficient set. Upon failure of the filtering process, the coefficient set used is replaced with a coefficient set stored in the memory as the last good coefficient set. | 01-15-2009 |
| 20090132625 | Method for combining binary numbers in environments having limited bit widths and apparatus therefor - The present disclosure provides a method and system for combining multiple coefficient words using only the magnitude bits of each of the coefficient words and using the sign bits of each of the coefficient words to modify the output of the combined magnitude bits. Using this method and/or system, it is possible to implement, for example, digital filters using larger coefficient word sizes without having to incur the inefficiencies and cost associated with using additional hardware resources, while maintaining an acceptable gain error in the filter response. | 05-21-2009 |
| 20110113081 | SIGNAL PROCESSING CIRCUIT - A signal processing circuit has two types of filters: an IIR filter | 05-12-2011 |
| 20110295919 | Variable Exponent Averaging Detector and Dynamic Range Controller - The VEA Detector and Dynamic Range Controller of the invention more accurately measure constant or non-constant, periodic or aperiodic, signals and the use of such measurements to control the upstream and/or downstream processing of program signals, including without limitation audio, video, and power program signals. The invention uses an antilog module acting within the context of a log domain circuit such that the “averaging” at an integrator is linear, not logarithmic. However, since the detection is within the log domain, the dynamic range of the VEA Detector is exponentially larger. | 12-01-2011 |
| 20130097213 | Nyquist Constrained Digital Finite Impulse Response Filter - Various embodiments of the present invention provide apparatuses and methods for filtering a digital signal with a Nyquist constrained digital finite impulse response filter. For example, an apparatus for filtering digital data is disclosed that includes a digital finite impulse response filter having a plurality of taps. The apparatus also includes a tap weight controller connected to the digital finite impulse response filter, operable to adjust a tap weight for each of a subset of the taps such that a magnitude of a Nyquist response of the digital finite impulse response filter remains within a constraint range. | 04-18-2013 |
| 20150149520 | METHOD FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, APPARATUS FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, AND RECORDING MEDIUM FOR RECORDING RECONSTRUCTION METHOD - A method for recovering a sparse signal of a finite field may include: updating discrete probability information of a target signal element of the finite field and discrete probability information of a measurement signal element of the finite field by exchanging the discrete probability information of the target signal element with the discrete probability information of the measurement signal element a predetermined number of times, wherein the target signal element and the measurement signal element are related to each other; calculating a final posteriori probability based on a priori probability of the target signal element and the discrete probability information of the measurement signal element, acquired as the exchange result; and recovering the target signal by performing maximum posteriori estimation to maximize the final posteriori probability. | 05-28-2015 |
| 20160079960 | Fast FIR Filtering Technique for Multirate Filters - Data samples are filtered by using a digital filter where the length of an impulse response of the digital filter is finite, an impulse response of the digital filter is symmetric and the operation of the digital filter is multi-rate. The method uses a polyphase decomposition to break down the input data stream into N parallel substreams and the multi-rate digital filter is separated by a polyphase decomposition into multiple lower-rate sub-filters where each of the sub-filters is separated into a set of simpler sub-sub-filters which operate upon the same set of input samples and which have impulse responses which are jointly centro-symmetric, a set of pre-filtering arithmetic structures, and a set of post-filtering arithmetic structures and performing each such pair of sub-sub-filtering operations using a single shared filter structure, a set of pre-filtering combining adders, and a set of post-filtering separating adders. | 03-17-2016 |
