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Weighted least-squares smoothing filters 加权最小二乘平滑滤波器
Pub Date : 1955-06-01 DOI: 10.1109/TCT.1955.1085234
L. Ule
IN THIS PAPER the concept of a minimum weighted squared error that has often been used in curve fitting1 is applied to a filter operating upon an input signal. The filter output is required to be a weighted least-squared-fit to its input. The steady-state error of the filter in reproducing its input is then zero when the input signal is contained in the ensemble of the chosen. fitting functions. The statistical aspects of the problem2 are subordinated to the requirement of zero steady state error to a proper input. The separate provinces of time-independent and time-varying filters in this sort of problem are defined; a slight generalization leads to a solution in the time-varying case. The proper domain of nonlinear least-squares filters is pointed out, but no general solution is given.
本文将曲线拟合中常用的最小加权平方误差的概念应用于对输入信号进行滤波。过滤器的输出需要是其输入的加权最小二乘拟合。当输入信号包含在所选信号的集合中时,滤波器在再现其输入时的稳态误差为零。拟合函数。该问题的统计方面2服从于稳态误差为零的要求,并有适当的输入。定义了这类问题中时变滤波器和时变滤波器的分离域;在时变情况下,稍加推广就可以得到一个解。指出了非线性最小二乘滤波器的固有域,但没有给出一般解。
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引用次数: 2
A general matrix factorization method for network synthesis 网络综合的一般矩阵分解方法
Pub Date : 1955-06-01 DOI: 10.1109/TCT.1955.6373417
E. Ho
THIS PAPER considers a new matrix factorization method for the synthesis of RLC two terminal-pair-networks. Equivalent matrices suitable for the synthesis of RLC ladder and parallel ladder networks are developed by linear transformations of matrix multiplication. The application of the method is demonstrated through the synthesis of a general minimum-phase transmission function as ladder networks 1‾4 and a general nonminimum-phase transmission function as parallel ladder networks. The advantage of the present method is that superfluous elements in the realized ladder networks are reduced considerably. Furthermore, an unbalanced form can be obtained for realizing a nonminimum-phase transmission function which has generally been realized in the lattice form.1, 5‾7
本文提出了一种新的RLC双端对网络综合的矩阵分解方法。通过矩阵乘法的线性变换,得到了适用于RLC阶梯和平行阶梯网络综合的等价矩阵。通过综合1 - 4形式的一般最小相位传输函数和1 - 4形式的一般非最小相位传输函数来证明该方法的应用。本方法的优点是所实现的阶梯网络中的多余元素大大减少。此外,对于一般以点阵形式实现的非最小相位传输函数,可以得到一种不平衡形式。1、5 & # x0203E; 7
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引用次数: 2
Review of 'The Complete Specification of a Network by a Single Parameter' 对“单参数网络的完全规范”的回顾
Pub Date : 1955-06-01 DOI: 10.1109/TCT.1955.1085222
A. Perry
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引用次数: 0
On the expansion of a network response into a series of orthogonal functions 将网络响应展开为一系列正交函数
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500166
A. Papoulis
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引用次数: 4
The application of statistical methods to servomechanisms 统计方法在伺服机构中的应用
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500163
L. Tasny
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引用次数: 1
Improved matrix and determinant methods for solving networks 改进的矩阵和行列式网络求解方法
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500162
H. Orchard
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引用次数: 0
Four methods for the analysis of time-variable circuits 时变电路的四种分析方法
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500146
L. A. Pipes
THE GENERAL theory of electric circuits whose component parameters are linear and constant has been extensively developed and is well understood. In recent years, considerable attention and effort has been directed to the analysis and performance of circuits whose parameters vary with the time. Many of the most important and interesting problems of circuit theory involve variable. parameters. For example, the equivalent circuits of the microphone transmitter, the condenser microphone, the induction generator, the superregenerator and of many other practical devices contain parameters that are time-varying. Many systems in mechanical and acoustical engineering in which the compliance or the inertia parameters vary with the time lead to the same mathematical formulation of their behavior as do the time-varying circuit problems.
元件参数为线性和常数的电路的一般理论已经得到了广泛的发展和理解。近年来,人们对参数随时间变化的电路的分析和性能进行了大量的研究。电路理论中许多最重要和最有趣的问题都涉及到变量。参数。例如,传声器发射机、电容传声器、感应发电机、超级再生器和许多其他实用装置的等效电路都包含时变参数。在机械和声学工程中,顺应性或惯性参数随时间变化的许多系统,其行为的数学公式与时变电路问题相同。
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引用次数: 7
The response of linear networks to suddenly applied stationary random noise 线性网络对突然施加平稳随机噪声的响应
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500155
D. Lampard
IN RECENT years time-varying circuits have attracted considerable attention in the literature,1 but little seems to have been done2 for those cases in which the input to such circuits is a random one.
近年来,时变电路在文献中引起了相当大的关注,但对于这种电路的输入是随机的情况,似乎很少有人做。
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引用次数: 10
An application of analog computers to the statistical analysis of time-variable networks 模拟计算机在时变网络统计分析中的应用
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500154
J. H. Laning, R. Battin
IN RECENT years an extensive body of mathematical techniques has been developed for the analysis of the response of linear constant coefficient control systems to stationary random processes as inputs. In many cases it is possible to achieve direct synthesis of the optimum system for an assigned task. For nonstationary inputs or variable coefficient systems, no corresponding theory exists, even though problems of this nature arise quite often in practice. In the present paper an analog method is presented for the rms error analysis of a class of nonstationary problems. However, no attempt is made at the synthesis of an optimum system. Following a brief discussion of analog methods applicable to the general nonstationary case, our attention is concentrated on the special problem of a variable coefficient linear system with a stationary random input. Exploitation of the properties of the adjoint system in this case is shown to reduce considerably the labor in computing rms errors in comparison with the general method for nonstationary inputs. The simulation of the adjoint system is shown to be readily obtainable from the simulation of the original system.
近年来,为了分析线性常系数控制系统对作为输入的平稳随机过程的响应,发展了大量的数学技术。在许多情况下,有可能实现对指定任务的最佳系统的直接合成。对于非平稳输入或变系数系统,没有相应的理论存在,尽管这种性质的问题在实践中经常出现。本文提出了一类非平稳问题均方根误差分析的模拟方法。然而,没有尝试合成一个最优系统。在简要讨论了适用于一般非平稳情况的模拟方法之后,我们的注意力集中在具有平稳随机输入的变系数线性系统的特殊问题上。在这种情况下,与非平稳输入的一般方法相比,利用伴随系统的性质可以大大减少计算均方根误差的工作量。结果表明,伴随系统的仿真可以很容易地从原系统的仿真中得到。
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引用次数: 8
Analysis of time-dependent linear networks 时变线性网络的分析
Pub Date : 1955-03-01 DOI: 10.1109/TCT.1955.6500147
J. Brodin
LET $bar f$ (an overbarred letter) denote the operator of a linear system; x(τ) an input signal, which depends on time τ and y(t) the output response, as recorded at time t. The functional relationship between x(τ) and y(t) will be written $y = {bar f} x. eqno{hbox{(1)}}$.
令$bar f$(一个横杠字母)表示线性系统的算子;x(τ)是一个输入信号,它取决于时间τ, y(t)是记录在时间t的输出响应。x(τ)和y(t)之间的函数关系为$y = {bar f} x. eqno{hbox{(1)}}$。
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引用次数: 2
期刊
IRE Transactions on Circuit Theory
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