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    • 3. 发明授权
    • Methods and systems for improving data transmission rates having adaptive protocols
    • 提高数据传输速率的方法和系统具有自适应协议
    • US06925502B1
    • 2005-08-02
    • US09597130
    • 2000-06-20
    • Salman Yousef AbbasiVijay K. BhagavathJackson OdondiZafer Sahinoglu
    • Salman Yousef AbbasiVijay K. BhagavathJackson OdondiZafer Sahinoglu
    • G06F13/00H04L12/56H04L29/06
    • H04L47/27H04L47/10H04L47/193H04L69/16H04L69/161H04L69/163H04L69/168
    • Methods and systems are provided to improve the data transmission rate of a system executing an network protocol such as TCP, by adapting the protocol according to an error rate of the system. The technique includes first establishing a connection between a receiver and transmitter according to the network protocol including establishing a data window size, the window size being an indicator of the amount of data the receiver can receive. As data segments are received, the receiver counts the number of data segments received as well the number of errored octets produced by the physical layer of the network over specified time periods. For each time period, the receiver determines whether the window size of the receiver should be changed to improve the data communication rate based on the previous window size, the number of segments received and the number of errors measured. If the window size is changed, then the receiver reestablishes communication with the transmitter using the new window size, thus altering the network protocol to optimize the overall data transmission rate.
    • 提供方法和系统,通过根据系统的错误率调整协议来提高执行网络协议(如TCP)的系统的数据传输速率。 该技术包括首先根据网络协议建立接收机和发射机之间的连接,包括建立数据窗口大小,窗口大小是接收机可以接收的数据量的指标。 当接收到数据段时,接收机对接收到的数据段的数量以及在特定时间段内由网络的物理层产生的错误八位位组的数量进行计数。 对于每个时间段,接收机确定是否应改变接收机的窗口大小以根据先前的窗口大小,接收到的段数和测量的错误数来改善数据通信速率。 如果窗口大小改变,则接收机使用新的窗口尺寸重新建立与发射机的通信,从而改变网络协议以优化总体数据传输速率。
    • 8. 发明授权
    • Method for suppressing clutter in space-time adaptive processing systems
    • 用于抑制时空自适应处理系统中杂波的方法
    • US08179300B2
    • 2012-05-15
    • US12696997
    • 2010-01-29
    • Man-On PunZafer Sahinoglu
    • Man-On PunZafer Sahinoglu
    • G01S13/00
    • G01S13/00
    • A method surpresses clutter in a space-time adaptive processing system. The method achieves low-complexity computation via two steps. First, the method utilizes an improved fast approximated power iteration method to compress the data into a much smaller subspace. To further reduce the computational complexity, a progressive singular value decomposition (SVD) approach is employed to update the inverse of the covariance matrix of the compressed data. As a result, the proposed low-complexity STAP procedure can achieve near-optimal performance with order-of-magnitude computational complexity reduction as compared to the conventional STAP procedure.
    • 一种方法在时空自适应处理系统中抑制杂乱。 该方法通过两个步骤实现低复杂度计算。 首先,该方法利用改进的快速近似幂迭代方法将数据压缩成更小的子空间。 为了进一步降低计算复杂度,采用渐进奇异值分解(SVD)方法来更新压缩数据的协方差矩阵的逆。 结果,与传统的STAP过程相比,所提出的低复杂度STAP过程可以实现具有数量级的计算复杂度降低的接近最佳性能。