该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。
According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.
在混合激励线性预测低速率语音编码研究中，提出了一种新的归一化自相关函数实时基音检测算法。
In the research of mixed excitation linear prediction speech coding, a new real-time normalized correlation function pitch detection algorithm is proposed.
基于自然梯度原则并利用信号的时间相关属性对一类代价函数进行推导，获得一种新的非平稳信号自适应盲分离算法。
A new adaptive blind source separation algorithm of non-stationary signals was presented by using natural gradient rule and time-correlation property of the source signals acting on a cost function.
本文详细介绍了它的需求分析和功能分析，并给出了相关接口函数和底层算法函数的实现源代码。
This paper introduces the demand analysis and function design in detail, gives the source codes of relevant interface functions and base algorithm.
本文提出了一种基于峭度和自相关函数联合最大化的算法，并将此算法应用于胎儿心电的分离研究。
This paper puts forward an algorithm based on joint maximization of kurtosis and autocorrelation, and applies it to the separation of fetal electrocardiogram.
提出了一种频差估计的新算法，该算法结合观测序列的周期图和自相关函数进行频率估值。
A simple algorithm for frequency offset estimation is proposed, which estimates the frequency offset with the periodogram and the correlation function of the observation samples.
该方法根据信号的特征恢复思想，以SRM为准则构造具有时间去相关特性的代价函数，采用静态迭代学习算法在线跟踪信道。
According to the feature reconstruction of signals, the method constructs the time decorrelation cost function under SRM rule, and traces channel using static iterative learning algorithm.
目前，卫星干扰源时延和频移定位参数的估计主要采用基于相关原理的互模糊函数算法(CAF)进行联合估计。
At present, the joint estimation methods of time delay and frequency shift for satellite interference localization are mainly based on the principle of correlation, such as CAF algorithm.
设计了判断给定集合上关系的各种性质的函数，并进行了相关算法分析。
The functions for judging relations properties in the set has been designed, and the interrelated algorithms have been analyzed.
本文正是针对该点，提出了一种二维arma模型的初步定阶方法，同时对AR参数的自相关函数估计方法进行了改进，在此基础上得到了功率谱估计算法。
This paper provides a method for the ar order estimation of two dimension ARMA model, and improves an ar parameters estimation method on the basis of autocorrelation function estimation method.
提出了一种自适应变步长恒模盲均衡算法，利用剩余误差信号的自相关函数估计值作为控制步长的因子来自适应改变步长的大小，克服了恒模算法存在的固有缺陷。
A new variable step-size CMA blind equalization algorithm is introduced to conquer the defects of CMA, in which the step size is controlled by the estimation of error signal's autocorrelation.
本文通过对FORTRAN DO循环中数组元素下标式的函数性态的分析研究，给出了一种新的向量化算法——这种算法作者称为“相关函数法”。
By studying the functional properties of index expressions of array elements in FORTRAN DO-loops, a new algorithm, called the associative function algorithm, is developed.
阐述了一种新的基于语音线性预测模型和经典自相关函数法的基音周期检测算法。
In this paper, a new pitch detection method based on classical autocorrelation function is proposed.
本文采用此算法学习针对每个查询词的检索函数即反映查询词与文档相关度的函数。
In this paper, the algorithm is used for each word retrieval function that reflects the correlativity between words and documents.
为此本文提出一种基于互相关函数差值的模板匹配算法。
A new template matching algorithm, which based on the difference of cross correlation function, is proposed.
我们为解决此问题提出了一个有效的算法，并且实现了这个算法中相关的启发式函数。
And we design an algorithm and present an efficient implementation of heuristic functions for this algorithm.
阐述了广义互相关时延估计算法的原理并对其作了详细的数学推导，研究各种加权函数的形式以及性能特点。
This thesis presents the theory on the generalized cross-correlation method and its detailed derivation mathematically. Five generalizations of the cross-correlation function are listed and discussed.
在对双继电器相关函数的讨论的基础上，提出了一种基于FPGA的二维相关测速算法。
On the basis of discussion about dual-relay cross correlation function, a two-dimensional correlation speed measurement algorithm based on FPGA is put forward.
同时，通过引入相应的映射关系，将拟合谱与待分析谱之间的相关系数和目标函数同时映射到了遗传算法的适值函数域中，获得了较高的分析精度。
At the same time, it can get more precise values by putting related coefficient of fitting spectrum and objective function into Genie Algorithm fitness function.
在对带白噪声信号的小波变换特性分析的基础上，基于自相关函数的白噪声检验方法，提出了一种确定小波分解层数的自适应算法。
Threshold de-noising based on wavelet transform which is proposed to determine the decomposition order adaptively is an efficient method to reduce the white noise in the digital signal.
结合两种方法，提出了一种可以避免自相关函数中大量的乘法运算的方法，从而提高了算法的运行效率。
A new method is brought forward, which avoids a mass of multiplication. So it improves the effect of auto-correction.
结合两种方法，提出了一种可以避免自相关函数中大量的乘法运算的方法，从而提高了算法的运行效率。
A new method is brought forward, which avoids a mass of multiplication. So it improves the effect of auto-correction.
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