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1. 发明申请

US20110085628A1 ADAPTIVE DATA DEPENDENT NOISE PREDICTION (ADDNP) 有权
标题翻译：自适应数据依赖性噪声预测（ADDNP）
公开(公告)号：US20110085628A1
公开(公告)日：2011-04-14
申请号：US12687797
申请日：2010-01-14
申请人： Mustafa N. Kaynak , Sivagnanam Parthasarathy , Stefano Valle , Shayan S. Garani
发明人： Mustafa N. Kaynak , Sivagnanam Parthasarathy , Stefano Valle , Shayan S. Garani
IPC分类号： H04B1/10
CPC分类号： G11B20/10009 , G11B20/10046 , G11B20/10203 , G11B20/10296 , G11B20/10481 , G11B2220/2516
摘要： A method is provided. The method comprises calibrating noise prediction parameters by adapting one or more biases, adapting one or more filter coefficients using the adapted one or more biases, and adapting one or more prediction error variances using the adapted one or more biases and the adapted one or more filter coefficients.
摘要翻译：提供了一种方法。该方法包括通过调整一个或多个偏差来校准噪声预测参数，使用所适配的一个或多个偏差来调整一个或多个滤波器系数，以及使用所适配的一个或多个偏置来调整一个或多个预测误差方差，以及调整的一个或多个滤波器系数。

2. 发明授权

US08290102B2 Adaptive data dependent noise prediction (ADDNP) 有权
标题翻译：自适应数据相关噪声预测（ADDNP）
公开(公告)号：US08290102B2
公开(公告)日：2012-10-16
申请号：US12687797
申请日：2010-01-14
申请人： Mustafa Kaynak , Sivagnanam Parthasarathy , Stefano Valle , Shayan S. Garani
发明人： Mustafa Kaynak , Sivagnanam Parthasarathy , Stefano Valle , Shayan S. Garani
IPC分类号： H04B1/10
CPC分类号： G11B20/10009 , G11B20/10046 , G11B20/10203 , G11B20/10296 , G11B20/10481 , G11B2220/2516
摘要： A method is provided. The method comprises calibrating noise prediction parameters by adapting one or more biases, adapting one or more filter coefficients using the adapted one or more biases, and adapting one or more prediction error variances using the adapted one or more biases and the adapted one or more filter coefficients.
摘要翻译：提供了一种方法。该方法包括通过调整一个或多个偏差来校准噪声预测参数，使用所适配的一个或多个偏差来调整一个或多个滤波器系数，以及使用所适配的一个或多个偏置来调整一个或多个预测误差方差，以及调整的一个或多个滤波器系数。

3. 发明授权

US08582223B1 Methods and devices for two-dimensional iterative multi-track based map detection 有权
标题翻译：用于二维迭代多轨地图检测的方法和装置
公开(公告)号：US08582223B1
公开(公告)日：2013-11-12
申请号：US13363155
申请日：2012-01-31
申请人： Shayan S. Garani , Yiming Chen
发明人： Shayan S. Garani , Yiming Chen
IPC分类号： G11B5/09 , G11B20/14 , H03D1/06
CPC分类号： G11B20/10287 , G11B5/02 , G11B20/10009 , G11B20/10037 , G11B20/10046 , G11B2005/0005 , G11B2220/2516
摘要： Decoding data written over a plurality of tracks includes selecting a mask that accounts for Inter-Symbol-Interference, the mask including channel coefficients and defining a trellis defining a plurality of states; receiving a signal corresponding to an input pixel from each of the plurality of tracks and generating equalized samples therefrom; computing transition branch probabilities for each input vector based on a Gaussian noise distribution using the equalized samples, ideal samples and a priori probabilities of the input vector; computing forward and backward probabilities via recursions using the computed transition branch probabilities; combining the forward, backward and transition branch probabilities to generate a-posteriori probabilities for the input vector; marginalizing the a-posteriori probabilities over values of neighboring pixels to generate an a-posteriori probability for a pixel of the input vector in a given state, and decoding the pixel as a first or second logical state from the marginalized a-posteriori probabilities.
摘要翻译：解码通过多个轨道写入的数据包括选择考虑符号间干扰的掩码，该掩码包括信道系数并定义定义多个状态的网格; 从所述多个轨道中的每一个接收对应于输入像素的信号，并从其产生均衡的采样; 基于使用均衡样本的高斯噪声分布来计算每个输入向量的转移分支概率，理想样本和输入向量的先验概率; 使用计算的转移分支概率通过递归计算前向和后向概率; 组合前向，后向和转移分支概率以生成用于输入向量的后验概率; 将相邻像素的值的后验概率边缘化，以在给定状态下为输入向量的像素生成一个后验概率，并将该像素从边缘化的后验概率解码为第一或第二逻辑状态。

4. 发明授权

US09203434B1 Systems and methods for improved encoding of data in data storage devices 有权
标题翻译：用于改进数据存储设备中数据编码的系统和方法
公开(公告)号：US09203434B1
公开(公告)日：2015-12-01
申请号：US13417057
申请日：2012-03-09
申请人： Shayan S. Garani
发明人： Shayan S. Garani
IPC分类号： H03M13/11
CPC分类号： H03M13/116 , H03M13/033 , H03M13/1168 , H03M13/1171 , H03M13/118
摘要： Some embodiments of the invention are directed to systems and methods for an optimized and efficient encoding scheme that can accommodate higher block lengths of data. Some embodiments generally relate to: (1) coding structures for a new class of LDPC matrices based on algebraic relations, and (2) encoding method that achieves the R=1−k/n exact bound on code rate. In addition, in some embodiments, the coding structures efficiently create matrices with excellent error-correcting properties and are devoid of short cycles (leading to robust performance). The implementations of the coding structures are scalable over a range of code rates and block lengths.
摘要翻译：本发明的一些实施例涉及可以适应更高块数据的优化和有效的编码方案的系统和方法。一些实施例通常涉及：（1）基于代数关系的新类型的LDPC矩阵的编码结构，以及（2）实现R = 1-k / n对码率精确约束的编码方法。此外，在一些实施例中，编码结构有效地创建具有优异的纠错特性的矩阵，并且没有短周期（导致稳健的性能）。编码结构的实现在码率和块长度的范围内是可扩展的。

5. 发明授权

US08856615B1 Data storage device tracking log-likelihood ratio for a decoder based on past performance 有权
标题翻译：数据存储设备基于过去的性能跟踪解码器的对数似然比
公开(公告)号：US08856615B1
公开(公告)日：2014-10-07
申请号：US13493856
申请日：2012-06-11
申请人： Anantha Raman Krishnan , Shayan S. Garani , Kent D. Anderson , Shafa Dahandeh
发明人： Anantha Raman Krishnan , Shayan S. Garani , Kent D. Anderson , Shafa Dahandeh
IPC分类号： G11C29/42 , H03M13/29 , G11C29/54 , G06F11/10
CPC分类号： G06F11/1076 , G06F11/1008 , G06F11/1012 , G11C29/52 , G11C2029/0409 , G11C2029/0411 , H03M13/2957 , H03M13/45 , H03M13/6325
摘要： A data storage device is disclosed comprising a non-volatile memory (NVM). First data is written to a first area of the NVM, and a first estimated data sequence is read from the first area of the NVM. The first estimated data sequence is first decoded, and a log-likelihood ratio (LLR) is first updated based on the first decode. Second data is written to a second area of the NVM, and a second estimated data sequence is read from the second area of the non-volatile memory. The second estimated data sequence is second decoded in response to the first updated LLR, and the LLR is second updated based on the second decode.
摘要翻译：公开了一种包括非易失性存储器（NVM）的数据存储设备。第一数据被写入NVM的第一区域，并且从NVM的第一区域读取第一估计数据序列。首先对第一估计数据序列进行解码，并且首先根据第一解码更新对数似然比（LLR）。第二数据被写入NVM的第二区域，并且从非易失性存储器的第二区域读取第二估计数据序列。响应于第一更新的LLR对第二估计数据序列进行第二解码，并且基于第二解码对LLR进行第二次更新。

6. 发明授权

US08760782B1 Methods and devices for joint two-dimensional self-iterating equalization and detection 有权
标题翻译：用于联合二维自重均衡和检测的方法和装置
公开(公告)号：US08760782B1
公开(公告)日：2014-06-24
申请号：US13404380
申请日：2012-02-24
申请人： Shayan S. Garani , Yiming Chen
发明人： Shayan S. Garani , Yiming Chen
IPC分类号： G11B20/10 , H04L27/06
CPC分类号： G11B20/10046 , H04L25/03006 , H04L25/067 , H04L2025/03777
摘要： A disk drive is configured to decode data written over a plurality of data tracks using joint self-iterating soft equalization and an iterative turbo 2-D MAP-based detection, by performing soft self-iterating linear 2-D MMSE equalization on received input samples; computing MMSE estimates for coefficients of a 2-D equalization filter based on a-priori values, mean of the a-priori values, the 2-D filter and the received input samples; updating the coefficients of the 2-D filter using a variance based on the a-priori values when carrying out a first iteration and based on an extrinsic LLR when carrying out subsequent iterations; determining values of the individual bits in the input samples using the updated coefficients; computing an output LLR of each individual received sample based on the computed MMSE estimate, the mean and the variance, and computing the extrinsic LLR by subtracting a priori LLR from the output LLR.
摘要翻译：磁盘驱动器被配置为通过在接收的输入样本上执行软自迭代线性2-D MMSE均衡来解码使用联合自迭代软均衡和基于迭代turbo 2-D MAP的检测在多个数据轨道上写入的数据 ; 基于先验值，先验值的平均值，2-D滤波器和接收的输入采样来计算2-D均衡滤波器的系数的MMSE估计; 当进行第一次迭代时，使用基于先验值的方差来更新二维滤波器的系数，并且在进行后续迭代时基于外在LLR来更新二维滤波器的系数; 使用更新的系数确定输入样本中的各个比特的值; 基于所计算的MMSE估计，平均值和方差，计算每个单独接收样本的输出LLR，以及通过从输出LLR减去先验LLR来计算外在LLR。

7. 发明申请

US20100169736A1 Encoding apparatus, system, and method using Low Density Parity Check (LDPC) codes 有权
标题翻译：使用低密度奇偶校验（LDPC）码的编码装置，系统和方法
公开(公告)号：US20100169736A1
公开(公告)日：2010-07-01
申请号：US12587163
申请日：2009-10-02
申请人： Shayan S. Garani
发明人： Shayan S. Garani
IPC分类号： H03M13/05 , G06F11/10
CPC分类号： H03M13/116 , H03M13/1142 , H03M13/118
摘要： A system and method is capable of performing a Low Density Parity Check (LDPC) coding operation on-the-fly without using a generator matrix. The system and method includes an input configured to receive data and an output configured to output a plurality of codewords. The system and method also includes a processor coupled between the input and the output. The processor is configured to encode the received data and produce the plurality of codewords using a plurality of parity bits. The processor creates the plurality of parity bits on-the-fly using a portion of an LDPC matrix and a protograph matrix.
摘要翻译：一种系统和方法能够在不使用发生器矩阵的情况下即时执行低密度奇偶校验（LDPC）编码操作。该系统和方法包括被配置为接收数据的输入和被配置为输出多个码字的输出。该系统和方法还包括耦合在输入和输出之间的处理器。处理器被配置为对接收的数据进行编码，并使用多个奇偶校验位产生多个码字。处理器使用LDPC矩阵和原型图矩阵的一部分即时地创建多个奇偶校验位。

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