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    • 1. 发明授权
    • Techniques for encrypting data on storage devices using an intermediate key
    • 使用中间密钥加密存储设备上的数据的技术
    • US08315394B2
    • 2012-11-20
    • US11923123
    • 2007-10-24
    • Marco SanvidoAnand Krishnamurthi KulkarniCyril GuyotRichard M. H. NewJorge Campello de Souza
    • Marco SanvidoAnand Krishnamurthi KulkarniCyril GuyotRichard M. H. NewJorge Campello de Souza
    • G06F21/00
    • H04L9/0822H04L9/0863
    • A data storage device encrypts data stored in non-volatile memory using a bulk encryption key. The data storage device uses a key derivation function to generate an initial encryption key. The data storage device then wraps an intermediate encryption key with the initial encryption key and stores the wrapped intermediate key in the non-volatile memory. The data storage device wraps the bulk encryption key with the intermediate encryption key and stores the wrapped bulk encryption key in the non-volatile memory. The data storage device can unwrap the wrapped intermediate key to generate the intermediate encryption key using the initial encryption key. The data storage device can unwrap the wrapped bulk encryption key to generate the bulk encryption key using the intermediate encryption key. The data storage device decrypts data stored in the non-volatile memory using the bulk encryption key.
    • 数据存储设备使用批量加密密钥对存储在非易失性存储器中的数据进行加密。 数据存储装置使用密钥导出函数来生成初始加密密钥。 然后,数据存储设备将具有初始加密密钥的中间加密密钥包裹起来,并将包裹的中间密钥存储在非易失性存储器中。 数据存储设备将批量加密密钥与中间加密密钥打包,并将包装的批量加密密钥存储在非易失性存储器中。 数据存储设备可以使用初始加密密钥解包包裹的中间密钥以产生中间加密密钥。 数据存储设备可以使用中间加密密钥解开包装的批量加密密钥以生成批量加密密钥。 数据存储装置使用批量加密密钥对存储在非易失性存储器中的数据进行解密。
    • 6. 发明授权
    • Data channel with joint data estimation and timing recovery
    • 具有联合数据估计和定时恢复的数据通道
    • US07113555B2
    • 2006-09-26
    • US10272372
    • 2002-10-15
    • Jorge Campello de SouzaBrian H. MarcusRichard M. H. NewBruce A. Wilson
    • Jorge Campello de SouzaBrian H. MarcusRichard M. H. NewBruce A. Wilson
    • H03D1/00H03D1/04
    • G11B20/18
    • A data channel includes a data detector that approximates both inter-symbol-interference (ISI) and random timing perturbations using a single finite-state hidden Markov model. The ISI is approximated by a finite impulse response and the timing perturbations are approximated by a first order random walk. The data signal, which is subject to inter-symbol interference and timing perturbations, is sampled periodically over a succession of time epochs without regard to timing perturbations. Timing perturbation values and data states are then assigned for each epoch, and each timing perturbation value is paired with each data state to arrive at a set of composite states. Probabilities are then assigned between composite states in successive epochs to arrive at the most probable composite state sequence corresponding to the sequence of detected data values from the sampled data. A Viterbi algorithm is then applied to find the maximum likelihood sequence of composite states. The resulting composite state sequence then defines both the data sequence and timing trajectory which, jointly, are most likely given the observations.
    • 数据通道包括使用单个有限状态隐马尔科夫模型近似符号间干扰(ISI)和随机定时扰动两者的数据检测器。 ISI由有限脉冲响应近似,并且定时扰动由第一阶随机游走近似。 经历了符号间干扰和定时扰动的数据信号在一系列时间周期内被周期性地采样,而不考虑定时扰动。 然后为每个时期分配定时扰动值和数据状态,并且每个定时扰动值与每个数据状态配对以得到一组复合状态。 然后在连续历元中的复合状态之间分配概率,以便从采样数据中得到对应于检测到的数据值序列的最可能的复合状态序列。 然后应用维特比算法来找到复合状态的最大似然序列。 所得到的复合状态序列随后定义了数据序列和定时轨迹,它们最有可能给出观测结果。