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11.发明授权公开(公告)号：US09015405B2
公开(公告)日：2015-04-21
申请号：US13805169
申请日：2010-06-29
申请人： Erik Ordentlich , Ron M. Roth , Gadiel Seroussi , Pascal Vontobel
发明人： Erik Ordentlich , Ron M. Roth , Gadiel Seroussi , Pascal Vontobel
IPC分类号： G06F12/00 , G06F13/00 , G06F13/28 , G11C11/24 , G11C7/00 , G11C7/10 , G11C13/00 , G11C16/08 , G11C11/16 , G06F11/10 , G11C16/34
CPC分类号： G06F12/00 , G06F11/1008 , G11C7/1006 , G11C11/16 , G11C13/0007 , G11C13/0069 , G11C16/08 , G11C16/3418 , G11C2213/71 , G11C2213/77
摘要： A method of storing data into a memory array converts an input string into a first binary array with (m−1) rows and (n−1) columns. A second binary array with m rows and n columns in an encoded bit pattern is then generated from the first binary array. The second binary array in the encoded bit pattern has at most n/2 1's in each row and at most m/2 1's in each column, and the m-th row and an n-th column contain information for decoding other entries of the second binary array. The encoded bit pattern of the second binary array is then stored into corresponding memory devices of the memory array.
摘要翻译： 将数据存储到存储器阵列中的方法将输入串转换为具有（m-1）行和（n-1）列的第一二进制数组。 然后从第一个二进制数组生成第二个二进制数组，其中m行和n列位于编码位模式中。 编码比特模式中的第二个二进制数组在每行中至多有n / 2 1，每列最多有m / 2 1，第m行和第n列包含用于解码 第二个二进制数组。 然后将第二二进制数组的编码位模式存储到存储器阵列的相应存储器件中。
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12.发明申请METHOD AND SYSTEM FOR REDUCING WRITE-BUFFER CAPACITIES WITHIN MEMRISTOR-BASED DATA-STORAGE DEVICES 有权用于减少基于机器人的数据存储设备中的写缓冲器容量的方法和系统公开(公告)号：US20140149824A1
公开(公告)日：2014-05-29
申请号：US14233230
申请日：2011-07-27
申请人： Erik Ordentlich , Gadiel Seroussi
发明人： Erik Ordentlich , Gadiel Seroussi
IPC分类号： G06F11/10
CPC分类号： G06F11/10 , G06F11/1048 , G11C7/1006 , G11C7/1078 , G11C13/0007 , G11C13/0061 , G11C13/0064 , G11C13/0069 , G11C16/3468 , G11C2211/5624
摘要： One example disclosed in the application is an electronic data-storage device comprising one or more arrays of memory elements. The data-storage device also includes an error-control-coding encoder that encodes received data and a READ/WRITE controller that writes encoded data received from the error-control-coding encoder to a number of memory elements by applying the switching-inducing force or gradient to the one or more arrays of memory elements until more than a maximum-allowed number of WRITE requests have been queued to the WRITE-request buffer, until feedback signals indicate that the WRITE operation has completed, or until the switching-inducing force or gradient has been applied for a maximum application time.
摘要翻译： 应用中公开的一个示例是包括一个或多个存储器元件阵列的电子数据存储设备。 数据存储装置还包括对接收到的数据进行编码的错误控制编码编码器和读/写控制器，该读/写控制器通过应用切换诱导力将从误差控制编码编码器接收的编码数据写入多个存储元件 或梯度到存储器元件的一个或多个阵列，直到写入请求缓冲器已被排队等于多于一个最大允许数量的WRITE请求缓冲器，直到反馈信号指示写入操作已经完成，或者直到开关诱导力 或梯度已应用于最大应用时间。
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公开(公告)号：US08437571B2
公开(公告)日：2013-05-07
申请号：US12387404
申请日：2009-04-30
CPC分类号： G06T5/002 , G06T2207/10008 , G06T2207/30176
摘要： One embodiment of the present invention is directed to an adaptive context-based predictor that predicts a value {circumflex over (x)} from a context, stored in an electronic memory, corresponding to a noisy-dataset symbol zi of a noisy dataset corrupted with noise modeled as being introduced by a noise-introducing channel. The adaptive context-based predictor is adapted according to one or more parameters that specify adaptive context-based-predictor operation, at least one of which functionally depends, or partially functionally depends, on a level of noise represented by the noise-introducing channel. The adaptive context-based predictor computes a number of intermediate values from the context, computes the predicted value {circumflex over (x)} from the intermediate values, and stores the predicted value {circumflex over (x)} in the electronic memory.
摘要翻译： 本发明的一个实施例涉及一种基于自适应基于上下文的预测器，其预测存储在电子存储器中的对应于噪声数据集符号的噪声数据集符号zi的值（从（x） 噪声被噪声引入通道引入。 基于自适应基于上下文的预测器操作的一个或多个参数来调整自适应基于上下文的预测器，所述参数中的至少一个在功能上取决于或部分地功能地取决于由噪声引入信道表示的噪声水平。 基于自适应基于上下文的预测器从上下文计算多个中间值，从中间值计算预测值{circumflex over（x）}，并将预测值{circumflex over（x）}存储在电子存储器中。
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公开(公告)号：US20110299455A1
公开(公告)日：2011-12-08
申请号：US12792515
申请日：2010-06-02
IPC分类号： H04W40/00
摘要： A first node receives aggregated compressed data and unaggregated data from a second node in a wireless multi-hop network. The first node compresses its own collected data based on the received unaggregated data. The first node aggregates its own compressed data with the aggregated compressed data received from the second node. The first node forwards an unaggregated version of its own collected data along with aggregated compressed data to a next hop in the wireless multi-hop network.
摘要翻译： 第一节点从无线多跳网络中的第二节点接收聚合压缩数据和未分组数据。 第一个节点根据收到的未分组数据来压缩自己收集的数据。 第一个节点将其自己的压缩数据与从第二个节点接收到的聚合压缩数据进行聚合。 第一个节点将其自己收集的数据的集合版本与聚合的压缩数据一起转发到无线多跳网络中的下一跳。
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公开(公告)号：US07592936B2
公开(公告)日：2009-09-22
申请号：US11590436
申请日：2006-10-30
IPC分类号： H03M7/00
CPC分类号： G06K9/0051
摘要： A denoising process or system uses convex optimization to determine characteristics of a clean signal. In one embodiment, a noisy signal that represents a set of symbols can be scanned to determine an empirical vector with components respectively indicating respective empirical probabilities of symbols in the noisy signal that occur in a particular context. A convex optimization process can then identify a vector such that a difference between the empirical vector and a product of the identified vector and a channel matrix is minimized. The identified vector can be used to determine when a symbol in the noisy signal should be replaced when assembling a reconstructed signal.
摘要翻译： 去噪过程或系统使用凸优化来确定干净信号的特性。 在一个实施例中，可以扫描表示一组符号的噪声信号以确定经验向量，其中分量分别表示在特定上下文中发生的噪声信号中的符号的相应经验概率。 然后，凸优化过程可以识别向量，使得经验向量与所识别的向量与信道矩阵的乘积之间的差最小化。 所识别的矢量可用于确定何时在组装重构信号时更换噪声信号中的符号。
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公开(公告)号：US07474793B2
公开(公告)日：2009-01-06
申请号：US10933789
申请日：2004-09-02
IPC分类号： G06K9/36
CPC分类号： H04N19/85
摘要： Various embodiments of the present invention provide a compression method and system that compresses received data by first denoising the data and then losslessly compressing the denoised data. Denoising removes high entropy features of the data to produce lower entropy, denoised data that can be efficiently compressed by a lossless compression technique. One embodiment of the invention is a universal lossy compression method obtained by cascading a denoising technique with a universal lossless compression method. Alternative embodiments include methods obtained by cascading a denoising technique with one or more lossy or lossless compression methods.
摘要翻译： 本发明的各种实施例提供一种压缩方法和系统，其通过首先对数据进行去噪，然后无损地压缩去噪数据来压缩接收的数据。 去噪去除数据的高熵特征以产生较低熵，可通过无损压缩技术有效压缩的去噪数据。 本发明的一个实施例是通过使用通用无损压缩方法级联噪声技术获得的通用有损压缩方法。 替代实施例包括通过将去噪技术与一个或多个有损或无损压缩方法级联获得的方法。
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17.发明授权Context-based denoiser that simultaneously updates probabilities for multiple contexts 失效基于上下文的去噪器同时更新多个上下文的概率公开(公告)号：US07271749B2
公开(公告)日：2007-09-18
申请号：US11180066
申请日：2005-07-12
申请人： Itschak Weissman , Erik Ordentlich , Gadiel Seroussi , Marcelo Weinberger , Sergio Verdu , Giovanni Motta
发明人： Itschak Weissman , Erik Ordentlich , Gadiel Seroussi , Marcelo Weinberger , Sergio Verdu , Giovanni Motta
IPC分类号： H03M7/00
CPC分类号： G06T5/002
摘要： A discrete, universal denoising method is applied to a noisy signal for which the source alphabet is typically large. The method exploits a priori information regarding expected characteristics of the signal. In particular, using characteristics of a continuous tone image such as continuity and small-scale symmetry allows definition of context classes containing large numbers of image contexts having similar statistical characteristics. Use of the context classes allows extraction of more reliable indications of the characteristic of a clean signal.
摘要翻译： 离散的通用去噪方法被应用于源字母表通常较大的噪声信号。 该方法利用有关信号预期特性的先验信息。 特别地，使用诸如连续性和小规模对称性的连续色调图像的特征允许定义包含具有相似统计特征的大量图像上下文的上下文类别。 使用上下文类允许提取更可靠的清洁信号特征的指示。
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公开(公告)号：US20070030900A1
公开(公告)日：2007-02-08
申请号：US11580611
申请日：2006-10-12
IPC分类号： H04N11/04
CPC分类号： G06T5/002
摘要： A denoising process statistically processes a series of frames of a motion picture to construct respective data structures for the frames. Each data structure indicates for each of multiple contexts, occurrences of symbols that have the same context and are in the corresponding one of the frames. The data structures for multiple frames are combined to construct an enhanced data structure for one of the frames, and symbols in that frame are replaced with values determined using the enhanced data structure.
摘要翻译： 去噪过程统计地处理运动图像的一系列帧以构成帧的相应数据结构。 每个数据结构指示多个上下文中的每一个，具有相同上下文并且在相应的一个帧中的符号的出现。 多个帧的数据结构被组合以构成一个帧的增强数据结构，并且该帧中的符号被替换为使用增强数据结构确定的值。
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19.发明申请公开(公告)号：US20060047484A1
公开(公告)日：2006-03-02
申请号：US10934200
申请日：2004-09-02
CPC分类号： G06K9/40 , G06K9/0051
摘要： In various embodiments of the present invention, a noisy signal denoiser is tuned and optimized by selecting denoiser parameters that provide relatively highly compressible denoiser output. When the original signal can be compared to the output of a denoiser, the denoiser can be accurately tuned and adjusted in order to produce a denoised signal that resembles as closely as possible the clear signal originally transmitted through a noise-introducing channel. However, when the clear signal is not available, as in many communications applications, other methods are needed. By adjusting the parameters to provide a denoised signal that is globally or locally maximally compressible, the denoiser can be optimized despite inaccessibility of the original, clear signal.
摘要翻译： 在本发明的各种实施例中，通过选择提供相对高度可压缩的去噪器输出的去噪器参数来调谐和优化噪声信号去噪器。 当原始信号可以与去噪器的输出进行比较时，可以精确地调谐和调整去噪器，以产生类似于尽可能接近通过噪声引入通道传输的清除信号的去噪声信号。 然而，当清除信号不可用时，如在许多通信应用中一样，需要其他方法。 通过调整参数以提供全局或局部最大可压缩的去噪信号，尽管原始清晰信号不可访问，但可以优化去噪器。
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公开(公告)号：US20060045360A1
公开(公告)日：2006-03-02
申请号：US10933789
申请日：2004-09-02
IPC分类号： G06K9/36
CPC分类号： H04N19/85
摘要： Various embodiments of the present invention provide a compression method and system that compresses received data by first denoising the data and then losslessly compressing the denoised data. Denoising removes high entropy features of the data to produce lower entropy, denoised data that can be efficiently compressed by a lossless compression technique. One embodiment of the invention is a universal lossy compression method obtained by cascading a denoising technique with a universal lossless compression method. Alternative embodiments include methods obtained by cascading a denoising technique with one or more lossy or lossless compression methods.
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