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    • 75. 发明申请
    • PREFETCH INSTRUCTION
    • 前言指导
    • US20120110269A1
    • 2012-05-03
    • US12916624
    • 2010-10-31
    • Michael Frank
    • Michael Frank
    • G06F12/08G06F12/00
    • G06F9/383G06F9/30047G06F12/0837G06F12/0862G06F2212/6022
    • Techniques are disclosed relating to prefetching data from memory. In one embodiment, an integrated circuit may include a processor containing an execution core and a data cache. The execution core may be configured to receive an instance of a prefetch instruction that specifies a memory address from which to retrieve data. In response to the instance of the instruction, the execution core retrieves data from the memory address and stores it in the data in the data cache, regardless of whether the data corresponding to that particular memory address is already stored in the data cache. In this manner, the data cache may be used as a prefetch buffer for data in memory buffers where coherence has not been maintained.
    • 公开了关于从存储器预取数据的技术。 在一个实施例中,集成电路可以包括包含执行核心和数据高速缓存的处理器。 执行核心可以被配置为接收指定从其检索数据的存储器地址的预取指令的实例。 响应于指令的实例,执行核心从存储器地址检索数据并将其存储在数据高速缓存中的数据中,而不管对应于该特定存储器地址的数据是否已经存储在数据高速缓存中。 以这种方式,数据高速缓存可以用作存储器缓冲器中的数据的预取缓冲器,其中没有维持相干性。
    • 77. 发明申请
    • OPTIMIZED PASSIVATION ON TI/ZR-BASIS FOR METAL SURFACES
    • 针对金属表面的TI / ZR基础优化钝化
    • US20110041957A1
    • 2011-02-24
    • US12884359
    • 2010-09-17
    • Jan-Willem BrouwerJens KroemerSophie CornenMichael FrankNicole TeubertFranz-Adolf Czika
    • Jan-Willem BrouwerJens KroemerSophie CornenMichael FrankNicole TeubertFranz-Adolf Czika
    • C23C22/80C23C30/00C22C38/14
    • C23C22/34C25D13/20
    • The present invention relates to a chromium-free aqueous agent based on water-soluble compounds of titanium and/or zirconium and a source of fluoride ions, copper ions and metal ions selected from the group consisting of calcium, magnesium, aluminum, boron, zinc, iron, manganese and/or tungstene and to a method for the anti-corrosive conversion treatment of metal surfaces. The chromium-free aqueous agent is suitable for the treatment of various metal materials, joined in composite structures, amongst others of steel or galvanized steel or the alloys thereof or any combinations of said materials. Furthermore, surfaces of aluminum and alloys thereof can be treated in an anti-corrosive manner using the agent according to the invention. The anti-corrosive treatment is intended in particular as a pretreatment for a subsequent dip-coating. The invention further relates to a metallic substrate that was treated according to a predefined method sequence with the chromium-free agent according to the invention and to the use thereof, particularly in the automotive production of vehicle bodies.
    • 本发明涉及一种基于钛和/或锆的水溶性化合物和选自钙,镁,铝,硼,锌的氟离子,铜离子和金属离子源的无铬水性试剂 铁,锰和/或钨石,以及金属表面的防腐蚀转化处理方法。 无铬水溶剂适用于处理各种金属材料,连接在复合结构中,其中包括钢或镀锌钢或其合金或所述材料的任何组合。 此外,可以使用根据本发明的试剂以抗腐蚀方式处理铝及其合金的表面。 防腐蚀处理特别用作后续浸涂的预处理。 本发明还涉及根据本发明的无铬剂按照预定的方法顺序处理的金属基材及其用途,特别是在汽车制造中。
    • 80. 发明授权
    • Removal of stationary noise pattern from digital images
    • 从数字图像中去除静止噪声模式
    • US07822287B2
    • 2010-10-26
    • US12043877
    • 2008-03-06
    • Michael Frank
    • Michael Frank
    • G06K9/40
    • G06T5/002G06T5/20G06T5/50G06T2207/10016G06T2207/20182H04N5/365
    • A method for removing a stationary noise pattern from digital images uses an adaptive noise estimation algorithm to calculate a prediction of the fixed pattern noise and a confidence estimate for the prediction. In one embodiment, a predicted noise value is obtained from the captured image and a predicted image derived from spatial and temporal pixel value prediction techniques. The predicted noise value is used to update a fixed pattern noise estimate only when the confidence estimate for the predicted image is high. In another embodiment, the confidence estimate is used as a weight factor for blending the noise prediction into the noise estimate. In yet another embodiment, the adaptive noise estimation algorithm is applied to a prediction area in the image for calculating scaling parameters which scaling parameters are used to calculate a noise estimate for the entire image based on a reference noise image.
    • 从数字图像中去除固定噪声模式的方法使用自适应噪声估计算法来计算固定模式噪声的预测和预测的置信估计。 在一个实施例中,从捕获的图像获得预测的噪声值,以及从空间和时间像素值预测技术导出的预测图像。 预测的噪声值仅在预测图像的置信度估计值高时用于更新固定模式噪声估计。 在另一个实施例中,将置信估计用作将噪声预测混合到噪声估计中的权重因子。 在另一个实施例中,自适应噪声估计算法被应用于图像中的预测区域,用于计算缩放参数,该缩放参数用于基于参考噪声图像来计算整个图像的噪声估计。