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 共查询到19条相似文献,搜索用时 125 毫秒
1.
Basic research in the field of thermal infrared remote sensing   总被引:4,自引:0,他引:4  
A new on-line blind equalization approach is proposed. The approach combines over-sampling technique with independent component analysis (ICA) neural network and can give equalized output on-line employing only the received signal. Based on the fourth-order cumulants and the characteristic of the linear system, the parameters of original channel are also estimated using evolutionary computation (EC). Compared to traditional equalization methods, the proposed algorithm is of simple architecture, does not need learning sequences apart from the observation, and can achieve both blind equalization and system identification. Computer simulations show good performance.  相似文献   

2.
Linear discriminant analysis and kernel vector quantization are integrated into vector quantization based speech recognition system for improving the recognition accuracy of Mandarin digits. These techniques increase the class separability and optimize the clustering procedure. Speaker-dependent (SD) and speaker-independent (SI) experiments are performed to evaluate the performance of the proposed method. The experiment results show that the proposed method is capable of reaching the word error rate of 3.76 % in SD case and 6.60 % in SI case. Such a system can be suitable for being embedded in personal digital assistant(PDA), mobile phone and so on to perform voice controlling such as digit dialing, calculating, etc.  相似文献   

3.
The problem of inter symbol interference (ISI) in wireless communication systems caused by multipath propagation when using high order modulation like M-QAM is solved. Since the wireless receiver doesn't require a training sequence, a blind equalization channel is implemented in the receiver to increase the throughput of the system. To improve the performances of both the blind equalizer and the system, a joint receiving mechanism including variable step size (VSS) modified constant modulus algorithms (MCMA) and modified decision directed modulus algorithms (MDDMA) is proposed to ameliorate the convergence speed and mean square error (MSE) performance and combat the phase error when using high order QAM modulation. The VSS scheme is based on the selection of step size according to the distance between the output of the equalizer and the desired output in the constellation plane. Analysis and simulations show that the performance of the proposed VSS-MCMA-MDDMA mechanism is better than that of algorithms with a fixed step size. In addition, the MCMA-MDDMA with VSS can perform the phase recovery by itself.  相似文献   

4.
The problem of soft-input soft-output (SISO) detection for time-varying frequency-selective fading channels is considered. Based on a suitably-designed factor graph and the sum-product algorithm, a low-complexity iterative message passing scheme is proposed for joint channel estimation, equalization and decoding. Two kinds of schedules (parallel and serial) are adopted in message updates to produce two algorithms with different latency. The computational complexity per iteration of the proposed algorithms grows only linearly with the channel length, which is a significantly decrease compared to the optimal maximum a posteriori (MAP) detection with the exponential complexity. Computer simulations demonstrate the effectiveness of the proposed schemes in terms of bit error rate performance.  相似文献   

5.
The application of low complexity and low order robust regression algorithm in channel estimation with 16QAM over fading channel for DS-CDMA is presented in this paper After initial channel estimation with classical methods, channel gains estimated are filtered by linear or conic regression algorithm within a given regression length Simulation results show that this method offers up to 0,3 dB gain in a DS-CDMA system. The length and order of regression algorithm are two key parameters, which affect the system performance significantly and the optimal values of which depend on the speed of mobile station. It is demonstrated that this improved method can track fading channel accurately and outperforms over classical methods substantially by selecting appropriate parameters of regression algorithm under a certain channel environment.  相似文献   

6.
A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior knowledge. Based on the learned prior information the learning rules of single channel BSS are presented by maximizing the joint log likelihood of the mixed sources to obtain source signals from single observation, in which the posterior density of the given measurements is maximized. The experimental results exhibit a successful separation performance for mixtures of speech and music signals.  相似文献   

7.
The development and application of new reliability models and methods are presented to analyze the system relia- bility of complex condition monitoring systems.The methods include a method analyzing failure modes of a type of redundant con- dition monitoring systems (RCMS) by invoking failure tree model,Markov modeling techniques for analyzing system reliability of RCMS,and methods for estimating Markov model parameters.Furthermore,a computing case is investigated and many conclu- sions upon this case are summarized.Results show that the method proposed here is practical and valuable for designing condition monitoring systems and their maintenance.  相似文献   

8.
Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively, it can improve image visual effect. The objective of this work is to implement the image enhancement to gray scale images using different techniques. After the fundamental methods of image enhancement processing are demonstrated, image enhancement algorithms based on space and frequency domains are systematically investigated and compared. The advantage and defect of the above-mentioned algorithms are analyzed. The algorithms of wavelet based image enhancement are also deduced and generalized. Wavelet transform modulus maxima(WTMM) is a method for detecting the fractal dimension of a signal, it is well used for image enhancement. The image techniques are compared by using the mean(μ),standard deviation(?), mean square error(MSE) and PSNR(peak signal to noise ratio). A group of experimental results demonstrate that the image enhancement algorithm based on wavelet transform is effective for image de-noising and enhancement. Wavelet transform modulus maxima method is one of the best methods for image enhancement.  相似文献   

9.
Trajectory provides the most robust feature for activity recognition in far-field surveillance videos, in which increasing attentions have been given to the use of qualitative methods with symbolic rather than real-value features. Qualitative trajectory calculus(QTC) showed a good performance in pair-activity from video. However, QTC and similar works are not good at dealing with noise, since they are all considering short-term features. To deal with the problems mentioned above, two types of long-term features, including sub-trajectory feature and point-trajectory feature, are designed. The sub-trajectory feature is a long-term feature in a coarse granularity, while the point-trajectory feature is a long-term feature in a relatively fine granularity. Using the sub-trajectory feature, a couple of trajectories are segmented into sub-trajectories and enveloping boxes are used to substitute the original sub-trajectory for capturing the major attributes. The point-trajectory feature describes the relationship between a single point in one trajectory and all parts of the other trajectory. The experiments on the human activity classification data demonstrated that our proposed methods are better than the original QTC and previous short-term features.  相似文献   

10.
We propose a novel scheme based on clustering analysis in color space to solve text segmentation in complex color images. Text segmentation includes automatic clustering of color space and foreground image generation. Two methods are also proposed for automatic clustering: The first one is to determine the optimal number of clusters and the second one is the fuzzy competitively clustering method based on competitively learning techniques. Essential foreground images obtained from any of the color clusters are combined into foreground images. Further performance analysis reveals the advantages of the proposed methods.  相似文献   

11.
针对包含环境噪声和信道失真等噪声的语音处理问题,提出了一种基于自适应心理声学模型的智能语音识别系统,并建立了听觉模型.该模型将心理声学和耳声发射(OAE)合并到了自动语音识别(ASR)系统中,利用AURORA2数据库分别在清洁训练条件和多训练条件下进行试验.结果表明,所提出的特征提取方法可以显著提高词识别率,优于梅尔频率倒谱系数(MFCC)、前向掩蔽(FM)、侧向抑制(LI)和倒谱平均值及方差归一化(CMVN)算法,能够有效地提高智能语音识别系统的性能.  相似文献   

12.
CMA-DFE盲均衡算法在时变信道中有着广泛的应用.针对CMA-DFE盲均衡算法的缺点,提出一种改进型CMA-DFE盲均衡算法.该算法把CMA-DFE盲均衡算法中前馈滤波器和反馈滤波器更新方程中的迭代步长由原来的固定值改成可变值,从而进一步提高了CMA-DFE盲均衡算法的收敛性.仿真实验结果表明,与CMA-DFE盲均衡算法相比,改进型CMA-DFE盲均衡算法具有更好的均衡效果和收敛性能.  相似文献   

13.
The usage of conventional blind equalization algorithm is limited in the application of burst signal communication due to its dissatisfaction of fast equalization. Per-survivor processing (PSP) exhibits good performance of channel-tracking and solves the problem of decision delay, but it increases the computational complexity. In this paper, PSP is applied to realize the fast tracking of the channel parameter and the coefficients of the linear equalizer are obtained by combining the inverse non-minimum phase with FIR approximation methods. Then this algorithm may be switched over to DD-LMS to achieve fast blind equalization. Simulation results indicate that the algorithm is valid for the application of blind equalization in burst signal communication.  相似文献   

14.
针对符号间干扰信道的多天线分集接收问题,提出一种单输入多输出(SIMO)系统盲迭代均衡算法.该算法利用吉布斯样本法处理思路,在SIMO条件下推导了信道冲击响应、发送符号等未知参数的条件后验分布,根据该条件概率逐个参数进行随机采样,通过不断迭代更新来逼近最大后验概率(MAP)估计的结果.该算法的一个显著特点是具有软输入软输出(SISO)结构,因此在编码系统中可以与信道译码结合,通过联合迭代进一步提升均衡的性能.计算机仿真结果表明,在严重符号间干扰信道条件下,SIMO系统肓迭代均衡算法的性能非常接近于已知信道时迭代均衡算法的性能,距离理想无符号间干扰信道分集合成的性能差距只有约1 dB.  相似文献   

15.
提出了一种新的基于递归神经网络的快速收敛盲均衡算法。设计中采用观测信号的四阶统计量构造代价函数,简化了系统的复杂度;利用实时递归学习算法对系统参数进行动态调节。该算法具有镇定性,其收敛性能不会受到失真信道的影响,适用于均衡衰落性严重的信道。实验仿真结果表明对具有频率选择性衰落的非线性信道,该算法在收敛速度和对抗码间串扰方面都具有良好的性能。  相似文献   

16.
基于离散Hopfield神经网络的盲信号均衡新算法   总被引:1,自引:0,他引:1  
针对许多现有的盲均衡算法对发送信号,均衡器,信道等都有不同的要求,本文在利用接收数据正交补投影和发送信号属于有限字符集的先验知识之上,构造出直接待恢复盲信号的二次规划问题,推出了一种基于离散Hopfield神经网络直接盲信号均衡的新方法,该算法有效地克服了上述问题,在SIMO(单输入多输出)信道上的仿真结果表明:该算法收敛速度快,性能好。  相似文献   

17.
对于高功率放大器引起卫星信道非线性失真问题,提出了一种自适应进化粒子滤波盲均衡方法。该算法利用粒子滤波对信道参数及发送符号进行联合后验估计,通过对粒子自适应引导变异,克服了标准粒子滤波算法中样本退化的现象,使新方法具有更好的盲均衡性能。仿真结果表明,与标准粒子滤波相比,该方法能够更精确地估计信道参数,且误码率性能也有所改善。  相似文献   

18.
补零单载波频域均衡系统的盲信道估计方法利用系统固有的补零信息,在时域实现了频率选择性信道基于子空间的盲估计.证明了在符号定时精确已知时,时域估计方法和之前提出的频域估计方法的等价性,但与频域估计方法相比,时域估计表达武明显简单.仿真和分析显示该方法的性能优干传统的过采样盲信道估计方法,且对信道阶数过估计不敏感.  相似文献   

19.
文章提出了盲均衡的一种快速算法。该算法基于将通信信道建模成IIR信道,并在信道输出端过采样将信道转化成具有相同系数的AR子系统和SIMOFIR子信道的级联,通过对AR子系统和SIMOFIR子信道分别均衡实现IIR信道的盲均衡。仿真实验表明,在约25dB信噪比时,算法只需要少量的样本点即可快速收敛。  相似文献   

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