会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • COMPRESSIVE SENSE BASED RECONSTRUCTION ALGORITHM FORNON-UNIFORM SAMPLING BASED DATA CONVERTER
    • 基于压缩感知的基于数据转换器的均匀采样重建算法
    • US20130069807A1
    • 2013-03-21
    • US13234297
    • 2011-09-16
    • Charles K. SestokAndrew Waters
    • Charles K. SestokAndrew Waters
    • H03M1/38
    • H03M7/00H03M1/1265H03M7/3062
    • Compressive sensing is an emerging field that attempts to prevent the losses associated with data compression and improve efficiency overall, and compressive sensing looks to perform the compression before or during capture, before energy is wasted. Here, a reconstruction algorithm is proposed for a compressive sensing successive approximation register (SAR) analog-to-digital converter (ADC). Accordingly, an analog signal is converted to a first digital signal at a sampling frequency that is less than a Nyquist frequency for the analog signal, and a second digital signal is constructed from the first digital signal with a box constrained linear optimization process such that the second digital signal is approximately equal to an analog-to-digital conversion of the analog signal at the Nyquist frequency for the analog signal.
    • 压缩感测是一个新兴领域,它试图防止与数据压缩相关的损失,并提高整体效率,压缩感测在能量浪费之前,在捕获之前或捕获过程中会执行压缩。 在这里,提出了一种用于压缩感测逐次逼近寄存器(SAR)模数转换器(ADC)的重建算法。 因此,模拟信号以小于模拟信号的奈奎斯特频率的采样频率转换为第一数字信号,并且第二数字信号由第一数字信号用盒子约束线性优化处理构成,使得 第二数字信号近似等于模拟信号在奈奎斯特频率处的模拟信号的模数转换。
    • 9. 发明授权
    • Time domain equalizer for DMT modulation
    • 用于DMT调制的时域均衡器
    • US07031379B2
    • 2006-04-18
    • US09939134
    • 2001-08-24
    • Charles K. Sestok, IVNirmal C. Warke
    • Charles K. Sestok, IVNirmal C. Warke
    • H04B1/38H04L5/16
    • H04L25/03038H04L2025/03414
    • A method for deriving coefficients for a time domain equalizer function (24) as implemented by a digital signal processor (35) in a DSL modem (20) is disclosed. A transmitting modem (10), such as at a central office, issues a pseudo-random training sequence that is received by the receiving modem (20). Correlation matrices are derived by the digital signal processor (35), from which sets of eigenvalues and eigenvectors are derived. A flatness constraint on the frequency response of the time domain equalizer is established, and included with a flatness scaling factor (λ) into a minimization cost function. One or more values of the flatness scaling factor (λ), preferably between minimum and maximum eigenvalues, are evaluated in the cost function, to derive the optimum filter for the time-domain equalizer. The flatness constraint ensures that the time-domain equalizer is not subject to near null conditions and large variations in its frequency response.
    • 公开了一种用于导出由DSL调制解调器(20)中的数字信号处理器(35)实现的时域均衡器功能(24)的系数的方法。 诸如在中心局的发射调制解调器(10)发布由接收调制解调器(20)接收的伪随机训练序列。 相关矩阵由数字信号处理器(35)导出,从其导出特征值和特征向量的集合。 建立了对时域均衡器的频率响应的平坦度约束,并将平坦度缩放因子(lambda)包含在最小化成本函数中。 在成本函数中评估平坦度缩放因子(lambda)的一个或多个值,优选在最小和最大特征值之间,以导出时域均衡器的最佳滤波器。 平坦度约束确保时域均衡器不受近零空间条件和频率响应的大变化。
    • 10. 发明授权
    • Compressive sense based reconstruction algorithm for non-uniform sampling based data converter
    • 基于压缩感知的重建算法用于基于非均匀采样的数据转换器
    • US08547260B2
    • 2013-10-01
    • US13234297
    • 2011-09-16
    • Charles K. SestokAndrew Waters
    • Charles K. SestokAndrew Waters
    • H03M1/00
    • H03M7/00H03M1/1265H03M7/3062
    • Compressive sensing is an emerging field that attempts to prevent the losses associated with data compression and improve efficiency overall, and compressive sensing looks to perform the compression before or during capture, before energy is wasted. Here, a reconstruction algorithm is proposed for a compressive sensing successive approximation register (SAR) analog-to-digital converter (ADC). Accordingly, an analog signal is converted to a first digital signal at a sampling frequency that is less than a Nyquist frequency for the analog signal, and a second digital signal is constructed from the first digital signal with a box constrained linear optimization process such that the second digital signal is approximately equal to an analog-to-digital conversion of the analog signal at the Nyquist frequency for the analog signal.
    • 压缩感测是一个新兴领域,它试图防止与数据压缩相关的损失,并提高整体效率,压缩感测在能量浪费之前,在捕获之前或捕获过程中会执行压缩。 在这里,提出了一种用于压缩感测逐次逼近寄存器(SAR)模数转换器(ADC)的重建算法。 因此,模拟信号以小于模拟信号的奈奎斯特频率的采样频率转换为第一数字信号,并且第二数字信号由第一数字信号用盒子约束线性优化处理构成,使得 第二数字信号近似等于模拟信号在奈奎斯特频率处的模拟信号的模数转换。