The blind estimation algorithm of Doppler frequency suitable for telemetry systems involving additional white Gaussian noise (AWGN) channels is proposed in this paper.
提出一种适应于在加性高斯白噪声信道(AWGN)下遥测系统的多普勒频偏盲估计算法。
The receiver can estimate all the parameters needed for demodulation using blind estimation algorithms and recognize the modulation type using the MC algorithm proposed above.
该系统可以在完全未知信号参数的情况下，应用各种盲估计算法进行信号参数估计，以及进行调制方式识别。
An improved algorithm is proposed based on the conventional channel blind estimation algorithm which USES the auto - correlation matrix of the vector of received signal in the OFDM systems.
本文针对传统的OFDM系统中利用接收信号的自相关进行信道盲估计算法提出了一种改进算法。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
但盲估计算法，如子空间分解法等，需要较大的样本值，收敛速率慢，不利于实时信道估计。
Principles of each blind estimation structure are presented in this thesis and the algorithm performance is studied by both theoretical analysis and computer simulation.
论文论述了每一种算法结构的原理，从理论分析和计算机仿真两方面对算法性能进行了研究。
Based on uniform linear array and fourth order cumulant, a novel blind algorithm for spatial signature estimation was presented.
以均匀直线阵和四阶累积量为基础，提出了一种新的空间特征盲估计算法。
A non blind channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in multipath channels was proposed.
提出了一种适用于正交频分复用通信系统的非盲信道估计算法。
The improved algorithm uses cross-correlation between cyclic prefix and a special sub-vector from vector of received signal to implement channel blind estimation.
改进算法利用接收信号向量中的循环前缀与一个特定子向量作互相关来对信道作盲估计。
This paper presents a new image blind separation algorithm by using nonparametric entropy estimation.
提出了一种基于非参数熵的图像盲分离新算法。
On the basis of the features of the Fast Fourier Transform (FFT) and digitally modulated signals, this paper proposes a blind channel estimation algorithm.
根据快速傅里叶变换(FFT)和数字信号调制解调的特点，给出了一种盲信道质量估计算法。
This blind adaptive algorithm was studied without channel estimation. The algorithm is equivalent to an equal gain combining in mathematics form.
该算法在数学形式上可等效为等增益合并的形式，并可分别由子空间和最小最大滤波的方法来求解。
Because of the high algorithm complexity, the slow convergence and the signal or symbol obscure problem of the blind channel estimation, it is not suitable in practical use.
由于盲信道估计算法复杂度高，收敛时间长且存在信号或符号的不确定问题，不适于在实际中应用，因此本文主要研究的是基于导频的信道估计。
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.
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。
Base on this characteristic, this paper presents a passive image forgery detection algorithm which uses blind estimation of background noise.
本文利用这一特点，提出了一种基于背景噪声分析的图像真伪被动鉴别算法。
Base on this characteristic, this paper presents a passive image forgery detection algorithm which uses blind estimation of background noise.
本文利用这一特点，提出了一种基于背景噪声分析的图像真伪被动鉴别算法。
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