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    • 1. 发明申请
    • FEEDBACK COMMUNICATIONS LINK CONTROLLER
    • 反馈通信链路控制器
    • WO1993011618A1
    • 1993-06-10
    • PCT/AU1992000633
    • 1992-11-26
    • THE COMMONWEALTH OF AUSTRALIACOOK, Stephen, CliveSCHOLZ, Jason, Beaufort
    • THE COMMONWEALTH OF AUSTRALIA
    • H04L01/12
    • H04B7/005
    • The transmitter (1) transmits signals in the form of symbols to a receiver (2). The received signals are analyzed and a probability density function estimate is formed in a pdf estimating means (4). There is a memory means (5) which contains a library of known probability density functions. A comparison means (6) compares the measured histogram from the pdf estimating means (4) with those stored in the memory means (5). The comparison means (6) produces an index (8) which uniquely identifies the library pdf most closely matching the measured pdf. The index (8) is fed back. At the transmitting end of the communication link the index (8) is used to select the corresponding pdf from memory means (7). Memory means (7) and memory means (5) are equivalent. The pdf extracted from memory means (7) is used to adjust the transmission parameters of the system.
    • 发射机(1)以符号的形式发送信号到接收机(2)。 分析接收的信号,并在pdf估计装置(4)中形成概率密度函数估计。 存在包含已知概率密度函数库的存储装置(5)。 比较装置(6)将来自pdf估计装置(4)的测量直方图与存储在存储装置(5)中的直方图进行比较。 比较装置(6)产生一个索引(8),其唯一地标识与测量的pdf最接近匹配的库pdf。 索引(8)反馈。 在通信链路的发送端,索引(8)用于从存储器装置(7)中选择相应的pdf。 存储器装置(7)和存储装置(5)是等效的。 从存储器(7)中提取的pdf用于调整系统的传输参数。
    • 4. 发明申请
    • ERROR RATE MONITOR
    • 错误率监视器
    • WO1991009482A1
    • 1991-06-27
    • PCT/AU1990000581
    • 1990-12-06
    • THE COMMONWEALTH OF AUSTRALIASCHOLZ, Jason, Beaufort
    • THE COMMONWEALTH OF AUSTRALIA
    • H04L01/20
    • H04L1/24
    • A method of assessing a link for a digital communication system and providing a value for a channel or link state parameter, particularly bit error rate, and apparatus for the same, in which an estimate of the probability density function for the channel or link is obtained by categorising decision variables into threshold categories, and comparing the estimated probability density function with stored known probability density functions. With each stored probability density function the value of the channel parameter being monitored is stored. The value of the channel parameter being monitored is determined by selecting the value associated with the stored probability density function closest resembling the estimated probability density.
    • 一种评估数字通信系统的链路并提供用于信道或链路状态参数(特别是误码率)的值的方法以及用于该信道或链路的概率密度函数的估计的方法 通过将决策变量分类为阈值类别,并将估计的概率密度函数与存储的已知概率密度函数进行比较。 对于每个存储的概率密度函数,存储被监视的信道参数的值。 通过选择与最近类似于估计的概率密度的存储的概率密度函数相关联的值来确定被监视的信道参数的值。
    • 5. 发明申请
    • SELECTIVE ATTENTION ADAPTIVE RESONANCE THEORY
    • 选择性注意自适应共鸣理论
    • WO1997004400A1
    • 1997-02-06
    • PCT/AU1996000464
    • 1996-07-24
    • THE COMMONWEALTH OF AUSTRALIALOZO, Peter
    • THE COMMONWEALTH OF AUSTRALIA
    • G06F15/80
    • G06K9/6222G06K9/4628G06N3/0409
    • A pattern recognition system for using an artificial neural network architecture that is capable of using its memory to selectively attend to and recognise a learned pattern even when that pattern is embedded in a complex or noisy background. The proposed neural network is used for advanced signal processing in pattern recognition problems that are too difficult or not possible to be solved by the traditional approaches of artificial intelligence and engineering. The pattern recognition system has a neural network architecture consisting of at least two layers in communication with each other, the first layer being a memory layer and having means to store a plurality of memory fields, the second layer adapted to receive an external input and comprising a modulation means that modulates said external input to produce a modulated signal, a comparison means that compares the memory fields of the memory layer with the modulated signal and amplifies those portions of the modulated signal that are located in the memory fields thereby producing an indicator of a match between the memory field and the modulated signal.
    • 一种用于使用人造神经网络架构的模式识别系统,其能够使用其存储器来选择性地参与并识别所学习的模式,即使该模式被嵌入在复杂或嘈杂的背景中。 所提出的神经网络用于模式识别问题中的先进信号处理,这些问题太难或不可能通过人工智能和工程的传统方法来解决。 模式识别系统具有由彼此通信的至少两层组成的神经网络架构,第一层是存储层,并且具有存储多个存储器场的装置,第二层适于接收外部输入并且包括 调制装置,其对所述外部输入进行调制以产生调制信号;比较装置,其将存储器层的存储区与调制信号进行比较,并放大位于存储区中的调制信号的那些部分,从而产生 存储器场和调制信号之间的匹配。
    • 6. 发明申请
    • METHOD OF ESTIMATING MISSING DATA POINTS AT KNOWN POSITIONS IN AN INPUT SIGNAL
    • 估计输入信号中已知位置丢失数据点的方法
    • WO1996030780A1
    • 1996-10-03
    • PCT/GB1996000691
    • 1996-03-22
    • THE COMMONWEALTH OF AUSTRALIABODONYI, John
    • THE COMMONWEALTH OF AUSTRALIA
    • G01S07/02
    • H01Q3/26
    • A method of estimating missing data points at known positions in an input signal comprises the steps of: a) Fourier transforming the input signal from one of the frequency or time domains to the other; b) setting a threshold in the other domain so as to separate at least one unambiguous component of the transformed signal from the remaining components including noise; c) inverse Fourier transforming the separated component back to the original domain; d) replacing the missing data points at the known positions in the input signal with data comprising the values of the inverse Fourier transformed separated components at the known positions to generate an improved signal. The steps (a) to (d) are iterated to achieve a desired level of input signal improvement.
    • 估计输入信号中已知位置处的丢失数据点的方法包括以下步骤:a)将输入信号从频域或时域之一傅里叶变换到另一个; b)在另一个域中设置一个阈值,以将变换信号的至少一个明确分量与包括噪声在内的其余分量分开; c)将分离的组分反向傅里叶变换回原始域; d)用在包括已知位置处的逆傅里叶变换的分离分量的值的数据替换输入信号中已知位置处的丢失数据点,以产生改进的信号。 迭代步骤(a)至(d)以实现期望的输入信号改善水平。