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    Robust vector quantization of line spectral frequencies
    1.
    发明授权
    Robust vector quantization of line spectral frequencies 失效
    线谱频率的鲁棒矢量量化

    公开(公告)号：US5651026A

    公开(公告)日：1997-07-22

    申请号：US495148

    申请日：1995-06-27

    Applicant: Daniel Lin ,  Kumar Swaminathan

    Inventor： Daniel Lin ,  Kumar Swaminathan

    IPC: G10L19/06 ,  H04B1/66 ,  H04B14/04

    CPC classification number: G10L19/07 ,  G06Q10/0875 ,  G10L25/24

    Abstract: A line spectral frequency (LSF) vector quantizer, having particular application in digital cellular networks (DCN), is provided for code excited linear predictive (CELP) speech encoders. The LSF vector quantizer is efficient in terms of bits employed, robust and effective in terms of performance across speakers and handsets, moderate in terms of complexity, and accommodates effective and simple built-in transmission error detection schemes. The LSF vector quantizer employs a minimum number of bits, is of moderate complexity and incorporates built-in error detection capability in order to combat transmission errors. The LSF vector quantizer classifies unquantized line spectral frequencies into four categories, employing different vector quantization tables for each category. Each quantization table is optimized for particular types of vectors. For each category, three split vector codebooks are used with a simplified error measure to find three candidate split quantized vectors. The three sets of three split vectors are combined to produce as many as 27 vectors from each category. The quantizer then makes a final selection of optimal category using a more complex error measure to achieve the robust performance across speakers and handsets. Split vector quantization follows a two stage constrained search procedure that results in an ordered set of quantized line spectral frequencies that is "close" to the unquantized set with moderate complexity within each category. Effective and simple transmission error detection schemes at the receiver are made possible by the split nature of the vector quantization and the constrained search procedure. Only twenty-six bits are required to encode ten line spectral frequencies.

    Abstract translation: 为码激励线性预测（CELP）语音编码器提供了一种在数字蜂窝网络（DCN）中具有特殊应用的线谱频率（LSF）矢量量化器。 LSF矢量量化器在所采用的比特方面是有效的，在扬声器和手机上的性能方面是稳健和有效的，在复杂性方面适中，并且适应有效和简单的内置传输错误检测方案。 LSF矢量量化器采用最小数量的位，具有中等复杂度，并且具有内置的错误检测能力，以抵御传输错误。 LSF矢量量化器将未量化的线谱频率分为四类，每类使用不同的矢量量化表。 每个量化表针对特定类型的向量进行了优化。 对于每个类别，使用三个分离矢量码本与简化误差测量来找到三个候选分割量化矢量。 将三组三个分割矢量组合起来，从每个类别产生多达27个矢量。 然后量化器使用更复杂的误差测量来最终选择最佳类别，以实现扬声器和手机的强大性能。 分割矢量量化遵循两阶段约束搜索过程，其导致在每个类别内具有中等复杂度的未量化集合的有序集合的量化线谱频率。 通过矢量量化和约束搜索过程的分割性质，可以实现接收机的有效和简单的传输错误检测方案。 只需要二十六位来编码十个线谱频率。

    Method and System for Credit Card Selection at a Point of Sale
    2.
    发明申请
    Method and System for Credit Card Selection at a Point of Sale 审中-公开
    销售点信用卡选择方法与系统

    公开(公告)号：US20150149308A1

    公开(公告)日：2015-05-28

    申请号：US14089758

    申请日：2013-11-26

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: G06Q20/34 ,  G06Q30/02 ,  G06Q20/20

    CPC classification number: G06Q30/0238 ,  G06Q20/12 ,  G06Q20/227 ,  G06Q20/32 ,  G06Q20/36

    Abstract: Embodiments herein provide systems and methods for selecting a credit card for a user at a point of sale. One method generally includes determining an identity of a business establishment corresponding to the point of sale where the user intends to complete a purchase transaction with one of a plurality of payment cards held by the user, providing the identity of the business establishment to at least a subset of issuers of the plurality of payment cards in order to receive details regarding rewards provided by each issuer in the subset to the user if the user uses a corresponding payment card for the purchase transaction at the business establishment, and presenting to the user a recommendation to use at least one of the payment cards for the purchase transaction based on received details regarding rewards from the issuers.

    Abstract translation: 本文的实施例提供了用于在销售点为用户选择信用卡的系统和方法。 一种方法通常包括确定对应于销售点的商业企业的身份，其中用户打算用用户持有的多个支付卡中的一个来完成购买交易，将商业机构的身份提供给至少一个 如果用户在商业机构使用相应的支付卡进行购买交易，并且向用户呈现推荐信息，则将多个支付卡的发行者的子集接收到用户的子集中的每个发行者提供的奖励的细节， 基于接收到的关于发行人奖励的细节，使用购买交易中的至少一个支付卡。

    Mobile Conferencing Method and System
    4.
    发明申请
    Mobile Conferencing Method and System 审中-公开
    移动会议方法与系统

    公开(公告)号：US20130281073A1

    公开(公告)日：2013-10-24

    申请号：US13849349

    申请日：2013-03-22

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: H04W4/16

    CPC classification number: H04W4/16 ,  H04L51/04 ,  H04L51/38 ,  H04W4/08 ,  H04W4/14 ,  H04W8/26 ,  H04W68/00 ,  H04W76/14 ,  H04W76/40 ,  H04W88/184 ,  H04W92/02 ,  H04W92/18

    Abstract: A server-based architecture for mobile conferencing is presented. Session-based mobile conferencing is established by transmitting necessary server network address information through page-mode based messaging services to establish connections among the various mobile devices with the server.

    Abstract translation: 介绍了基于服务器的移动会议架构。 基于会话的移动会议通过基于页面模式的消息传递服务传输必要的服务器网络地址信息建立，以便在服务器之间建立各种移动设备之间的连接。

    Analytical tools for a community of investors having investment portfolios
    6.
    发明授权
    Analytical tools for a community of investors having investment portfolios 有权
    投资组合投资者社区分析工具

    公开(公告)号：US07401039B1

    公开(公告)日：2008-07-15

    申请号：US09739565

    申请日：2000-12-15

    Applicant: Daniel Lin ,  Lisa R. Pozzi ,  Brian N. Sawyer ,  Gordon K. Gustafson ,  Akber N. Zaidi

    Inventor： Daniel Lin ,  Lisa R. Pozzi ,  Brian N. Sawyer ,  Gordon K. Gustafson ,  Akber N. Zaidi

    IPC: G06Q40/00

    CPC classification number: G06Q50/01 ,  G06Q20/10 ,  G06Q20/102 ,  G06Q40/00 ,  G06Q40/025 ,  G06Q40/04 ,  G06Q40/06

    Abstract: A system and method for providing analytical tools for a community of investors having investment portfolios. A first tool provides an indication of a user's selection effectiveness regarding the user's choice of investments relative to those sectors in which the investment resides, and relative to a broader market. A second tool allows the user to evaluate the effectiveness of community stimuli on the user's portfolio. A third tool provides the user the capability to view relationships among a plurality of preferred analysts. With a fourth tool, a user may view a plurality of other analysts the user referred to the community.

    Abstract translation: 为投资组合投资者团体提供分析工具的系统和方法。 第一个工具提供了用户选择有效性的指示，用户对投资选择的投资相对于投资所在的部门以及相对于更广泛的市场。 第二个工具允许用户评估社区刺激对用户投资组合的有效性。 第三个工具使用户能够查看多个优选分析人员之间的关系。 使用第四工具，用户可以查看用户引用社区的多个其他分析者。

    Method for allocating IP addresses for peer-to-peer wireless instant messaging and other data communications
    7.
    发明申请
    Method for allocating IP addresses for peer-to-peer wireless instant messaging and other data communications 有权
    分配用于对等无线即时通讯和其他数据通信的IP地址的方法

    公开(公告)号：US20050249134A1

    公开(公告)日：2005-11-10

    申请号：US11182927

    申请日：2005-07-15

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: H04L12/58 ,  H04L29/08 ,  H04Q7/22 ,  H04Q7/00

    CPC classification number: H04L51/04 ,  H04L51/38

    Abstract: A technique is provided for allocating publicly accessible IP addresses to an initiating mobile device to establish peer-to-peer session-based instant messaging with a target mobile device residing on a separate network without the need for using an instant messaging registration or log-in server to provide presence information. Session-based instant messaging communications between mobile devices are established by transmitting necessary address information through page-based messaging services that utilize the underlying digital mobile network databases and services to resolve the identification and location of the mobile devices.

    Abstract translation: 提供了一种用于将可公开访问的IP地址分配给发起的移动设备的技术，以与驻留在单独网络上的目标移动设备建立基于对等的基于会话的即时消息传递，而不需要使用即时消息登记或登录 服务器提供存在信息。 通过使用基础数字移动网络数据库和服务的基于页面的消息传送服务传送必要的地址信息来建立移动设备之间的基于会话的即时消息通信，以解决移动设备的识别和位置。

    Encoding a speech signal using code excited linear prediction using a plurality of codebooks
    8.
    发明授权
    Encoding a speech signal using code excited linear prediction using a plurality of codebooks 有权
    使用多个码本使用码激励线性预测编码语音信号

    公开(公告)号：US06389388B1

    公开(公告)日：2002-05-14

    申请号：US09711252

    申请日：2000-11-13

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: G10L1904

    CPC classification number: G10L19/12 ,  G10L2019/0005 ,  G10L2019/0007

    Abstract: A speech signal is encoded using code excited linear prediction for use in transmitting the speech signal to a receiver. The speech signal is sampled. A current sample of the speech signal is predicted based on in part a previous sample. An innovation sequence is determined based on in part a prediction error between the predicted current sample and the current sample of the speech signal. A code from each of a plurality of codebooks is selected. A combination of the selected codes is the determined innovation sequence. An index of the selected codes is identified and transmitted to the receiver. The transmitted index enables reconstruction of the speech signal at the receiver.

    Abstract translation: 使用代码激励线性预测对语音信号进行编码，用于将语音信号发送到接收机。 对语音信号进行采样。 基于部分先前的样本来预测语音信号的当前样本。 基于预测的当前样本与语音信号的当前样本之间的预测误差部分确定创新序列。 选择来自多个码本中的每一个的代码。 所选代码的组合是确定的创新序列。 所选代码的索引被识别并发送到接收器。 发送的索引使得能够在接收机处重建语音信号。

    Method and system to track weight without stepping on a weight scale
    9.
    发明授权
    Method and system to track weight without stepping on a weight scale 有权

    公开(公告)号：US10466094B2

    公开(公告)日：2019-11-05

    申请号：US16150245

    申请日：2018-10-02

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: G01G19/44 ,  G01G19/52 ,  G01G23/37

    Abstract: Embodiments herein provide systems and methods tracking the weight of an individual who is lying in bed. One method generally includes periodically receiving weight data from a weight data sensor that is situated within the bed, wherein the weight data sensor has recognized a change in weight on the bed from a default weight of the bed, and providing to the individual a user interface to track weight patterns of the individual based on the received weight data.

    Method and System to Track Weight Without Stepping on a Weight Scale
    10.
    发明申请
    Method and System to Track Weight Without Stepping on a Weight Scale 审中-公开

    公开(公告)号：US20190033122A1

    公开(公告)日：2019-01-31

    申请号：US16150245

    申请日：2018-10-02

    Applicant: Daniel Lin

    Inventor： Daniel Lin

    IPC: G01G19/44 ,  G01G19/40 ,  G01G19/50 ,  G01G23/38

    Abstract: Embodiments herein provide systems and methods tracking the weight of an individual who is lying in bed. One method generally includes periodically receiving weight data from a weight data sensor that is situated within the bed, wherein the weight data sensor has recognized a change in weight on the bed from a default weight of the bed, and providing to the individual a user interface to track weight patterns of the individual based on the received weight data.

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