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    • 61. 发明授权
    • Automatic digital black shading for cameras
    • 相机自动数字黑色阴影
    • US5493334A
    • 1996-02-20
    • US420325
    • 1995-04-11
    • Anthony E. ZorteaPeter Westerink
    • Anthony E. ZorteaPeter Westerink
    • H04N5/16H04N5/361H04N5/365H04N9/64H04N5/217
    • H04N5/3655H04N5/361
    • A video camera generates an approximation of the dark current or black shading distortion signals based on scan position in the image, and subtracts the approximation signal from the signal generated by the camera during normal image-sensing operation to reduce the black shading distortion. In a particular embodiment of the invention, counters generate location signals representative of the location of pixel currently being read, and the location signals are processed by functions such as squaring or raising to a constant power, and by weighting, to produce components of the approximation of the dark signal. The components are subtracted from the imager signal, to reduce the dark shading. In one embodiment of the invention, the functions are automatically selected from among a plurality of preselected functions, and implemented by look-up tables.
    • 摄像机基于图像中的扫描位置产生暗电流或黑色阴影失真信号的近似值,并且在正常图像感测操作期间从由相机产生的信号中减去近似信号以减少黑色阴影失真。 在本发明的特定实施例中,计数器产生表示当前正在读取的像素的位置的位置信号,并且通过诸如平方或上升到恒定功率的功能来处理位置信号,并且通过加权来产生近似的分量 的暗信号。 从成像器信号中减去分量,以减少黑暗的阴影。 在本发明的一个实施例中,这些功能是从多个预选功能中自动选择的,并且由查找表来实现。
    • 62. 发明授权
    • Content addressable memory system
    • 内容可寻址内存系统
    • US5438535A
    • 1995-08-01
    • US219639
    • 1994-03-29
    • Derrick P. Lattibeaudiere
    • Derrick P. Lattibeaudiere
    • G06F12/00G06F17/30H04N7/16H04N7/173H04N21/21H04N21/232G11C15/00
    • G06F17/30982H04N7/17336
    • A content addressable memory (CAM) system, is disclosed for writing data including a key portion and an extended portion, and for reading the extended portion in response to the match of a search key a key portion of the data. The system includes a conventionally addressed RAM, organized into segments, each segment of which is identified by a starting address. It also includes a CAM, also organized into words. Each of the words of the CAM is identified by a CAM address. Data to be written into the memory includes a key portion and an extended data portion. The key portion of the data is written into the CAM at a selected address, and the extended data portion is written into a segment of the random access memory which begins at an address determined from the selected address. Data in the random access memory is read by searching the CAM for a search key and then using address of matching entries found in the CAM to generate address values for the random access memory. The random access memory is then addressed to fetch the extended data associated with each of the matching entries. In one exemplary embodiment, the memory system is used to hold a database of television programs in a cable television scheduling system.
    • 公开了一种内容可寻址存储器(CAM)系统,用于写入包括密钥部分和扩展部分的数据,并且用于响应于搜索关键字与数据的关键部分的匹配来读取扩展部分。 该系统包括常规寻址的RAM,其被组织成段,其每个段由起始地址标识。 它还包括CAM,也被组织成文字。 CAM的每个字由CAM地址标识。 要写入存储器的数据包括密钥部分和扩展数据部分。 将数据的关键部分以所选地址写入CAM中,并且将扩展数据部分写入随机存取存储器的从所选地址确定的地址开始的段。 通过在CAM中搜索搜索关键字然后使用在CAM中找到的匹配条目的地址来生成随机存取存储器的地址值来读取随机存取存储器中的数据。 然后寻址随机存取存储器以获取与每个匹配条目相关联的扩展数据。 在一个示例性实施例中,存储器系统用于在有线电视调度系统中保存电视节目的数据库。
    • 64. 发明授权
    • Neural network video image processor
    • 神经网络视频图像处理器
    • US5376963A
    • 1994-12-27
    • US40407
    • 1993-03-31
    • Anthony E. Zortea
    • Anthony E. Zortea
    • G06T5/00H04N9/04H04N9/64
    • H04N9/045G06T1/20G06T5/007G06T5/10H04N5/232G06T2207/10024G06T2207/20084
    • A signal processing system for a video camera uses a single neural network to implement multiple nonlinear signal processing functions. In one example, the neural network implements gamma correction and contrast compression, in another example, color correction and aperture correction are added to the combined function emulated by the network. The network is trained using back propagation to emulate one function then a combination of two functions, then a combination of three functions, and so on. The programmed neural network replaces multiple pipelined signal processors in the video camera. The use of a single neural network in place of the multiple dedicated processing functions reduces engineering effort to develop the product and may reduce the cost of the total system.
    • 用于摄像机的信号处理系统使用单个神经网络来实现多个非线性信号处理功能。 在一个示例中,神经网络实现伽马校正和对比度压缩,在另一示例中,颜色校正和孔径校正被添加到由网络模拟的组合功能。 使用反向传播来训练网络来模拟一个功能,然后是两个功能的组合,然后是三个功能的组合,等等。 编程神经网络替代摄像机中的多个流水线信号处理器。 使用单个神经网络代替多个专用处理功能减少了开发产品的工程努力,并可能降低整个系统的成本。
    • 66. 发明授权
    • Method for determining boundaries of isolated words within a speech
signal
    • 确定语音信号内孤立词边界的方法
    • US5305422A
    • 1994-04-19
    • US843013
    • 1992-02-28
    • Jean-claude Junqua
    • Jean-claude Junqua
    • G10L11/02G10L15/04G10L15/20G10L21/02G10L9/00
    • G10L25/87
    • A method for analyzing a speech signal to isolate speech and nonspeech portions of the speech signal is provided. The method is applied to an input speech signal to determine boundary values locating isolated words or groups of words within the speech signal. First, a comparison signal is generated which is biased to emphasize components of the signal having preselected frequencies. Next, the system compares the comparison signal with a threshold level to determine estimated boundary values demonstrating the beginning and ending points of the words. Once the estimated boundary values are calculated, the system adjusts the boundary values to achieve final boundary values. The specific amount of adjustment varies, depending upon the amount of noise present in the signal. The final pair of boundary values provide a reliable indication of the location and duration of the isolated word or group of words within the speech signal.
    • 提供了一种用于分析语音信号以隔离话音信号的语音和非同步部分的方法。 该方法被应用于输入语音信号以确定在语音信号内定位孤​​立词或单词组的边界值。 首先,产生偏置以强调具有预选频率的信号的分量的比较信号。 接下来,系统将比较信号与阈值水平进行比较,以确定显示单词的开始和结束点的估计边界值。 一旦计算了边界值,系统就会调整边界值以达到最终边界值。 具体的调整量根据信号中存在的噪声量而变化。 最后一对边界值提供了语音信号内孤立词或单词组的位置和持续时间的可靠指示。
    • 68. 发明授权
    • Method of manufacturing a precision micro-filter
    • 精密微滤器制造方法
    • US5256360A
    • 1993-10-26
    • US857323
    • 1992-03-25
    • Hong Li
    • Hong Li
    • B01D29/11B29C33/00B29C39/02B29C33/42B29C39/00
    • B29C39/02B01D29/111B29C33/0033B29L2031/14Y10S264/48
    • A method of manufacturing a precision micro-filter and a micro-filter manufactured thereby is disclosed. A micro-mold is manufactured using micro-machining technology (such as micro-electrical-discharge machining technology, laser-beam micro-machining, electron beam micro-machining) to make a filter mold with a plurality of rod-like protrusions, of the shape, dimensions, and spacing required for the pores of a finished micro-filter. A molding material is placed into the micro-mold, the molding composition is allowed to solidify to form a micro-filter, the passageways of which conform precisely to the rod-like protrusions of the mold. This micro-filter is then separated from the micro-mold.
    • 公开了一种制造精密微滤器及其制造的微滤器的方法。 使用微加工技术(例如微电子放电加工技术,激光束微加工,电子束微加工)来制造微型模具,以制造具有多个棒状突起的过滤模具 成品微滤器孔隙所需的形状,尺寸和间距。 将模塑材料放置在微型模具中,使模塑组合物固化以形成微过滤器,其通道精确地与模具的棒状突起一致。 然后将微型过滤器与微型模具分离。