统计信号处理

独立分量分析（ICA）是一种新近发展起来的统计信号处理方法。

The independent component analysis ( ICA ) is a newly developed statistical signal processing method .

然后通过无线通信和统计信号处理理论，对脉冲无线电噪声分类、统计模型、APD统计参数的原理等进行了讨论。

Then through the wireless communications and statistical signal processing theory , the impulsive radio noise classification , statistical model , APD on the rationale of statistical parameters were discussed .

它以各传感器获取的图像作为输入条件，应用统计信号处理中的EM算法，求出针对不同传感器的噪声参数和模糊因子，通过迭代估计出融合的图像。

Using the EM algorithm in statistics , the fuzzy factor and noise parameters of corresponding sensor can be derived . And then by iteration operation , the fusion image is finally estimated .

近年来，统计信号处理已经成为无线通信发展中的一项关键技术，特别是被ISI和MAI严重污染的宽带多用户通信系统。

In recent years , the statistic signal processing has become a key technique in wireless communication development , especially the wideband multi-user communication system which was polluted by ISI and MAI .

基于统计信号处理的图像融合技术研究

Research for the Image Fusion Technique Based on Statistical Signal Processing

自适应滤波器是统计信号处理的重要组成部分。

Adaptive filter constitutes an important part of statistical signal processing .

基于多元统计信号处理的间歇过程监控方法研究

Monitoring method based on multivariate statistical signal processing for batch process

检测和滤波是统计信号处理的两个基本内容。

The detection and filtering are basic contexts of statistical signal processing .

一种基于统计信号处理和模糊数学的图像融合算法

A New Fusion Algorithm Based on Statistical Signal Processing and Fuzzy Mathematics

自适应滤波在统计信号处理领域中占有重要地位。

The adaptive filters constitute an important part of the statistical signal processing .

统计信号处理基础。

Fundamentals of statistical signal processing ii .

文章研究了统计信号处理方法在像素级图像融合中的应用。

In this paper , an image fusion technique based on statistical signal processing is studied .

基于小波的统计信号处理技术，一般都将小波系数建模为独立或联合高斯的，但这些模型对许多实际信号来说并不理想。

Wavelet based statistical signal processing techniques generally model the wavelet coefficients as independent or jointed Gaussian .

这些方法包括：统计信号处理，频域信号处理和时频域信号处理方法。

These methods are classified into three categories : statistical signal processing , frequency domain analysis and time-frequency analysis .

运用统计信号处理的理论，提出了一种确定小波包分解系数自适应阈值的方法。

This paper presents a new method of adaptive filtering via looking for the best threshold in wavelet domain adaptively .

在统计信号处理及其相关领域，多变量数据的描述和分析一直是人们广泛关注的研究课题。

In statistic signal processing and related areas , multivariate data analysis technique has attended wider attention in recent years .

基于统计信号处理技术的最大后验估计原理，提出一种新的自适应滤波方法。

An adaptive filtering method , based on maximum posterior estimation rule and statistical signal processing technique , is presented .

自适应滤波技术是统计信号处理的重要组成部分，它可以通过自身与外界环境的接触来改善自身对信号处理的性能。

Adaptive filter technique becomes an important part of statistical signal processing . It can improve its performance for Signal Processing through contact of itself with environment .

采用一项新的统计信号处理技术&独立成分分析提取心动周期信号子成分。

To extract sub-signal of heart period signal ( HPS ), a new statistical signal processing approach , namely independent component analysis ( ICA ) was addressed .

语音信号处理本身是一个涉及到传统数字信号处理、统计信号处理、模式识别与建模、发声学、语音语言学等多学科的综合技术。

Speech signal processing is a cross-discipline technology that includes traditional digital signal processing , statistical signal processing , system identification and modeling , acoustics and linguistics .

谐波恢复问题是信号处理领域的一个典型问题，同时也是统计信号处理研究的一个重要内容。

Harmonic retrieval ( HR ) problem in complex noise is one of the most encountered problems in the area of signal processing , and constitutes a significant part of statistical signal processing research .

自适应滤波器是一种功能非常强大的滤波器，是统计信号处理中的一个重要组成部分。它能根据某种准则的需要，进行参数自动调节，最终使滤波效果达到最佳。

Adaptive filter is a very powerful filter , and is an important part of statistical signal processing . It can automatically adjust the parameters according to the needs of a particular norm , eventually filtering to achieve the best results .

噪声背景中的二维谐波参数估计问题（通常称之为二维谐波恢复）是多维信号处理领域的一个典型问题，同时也是统计信号处理研究的一个重要内容。

The problem of two-dimensional ( 2-D ) harmonic parameter estimation in complex noise , usually called two-dimensional harmonic retrieval , is one of the most frequently problems in the field of multidimensional signal processing , and it is also an important problem in statistical signal processing .

本文利用图像处理和统计信号处理的技术，在视觉软件系统中实现了机器人和球的检测、识别、跟踪和预测功能，并对该软件系统的设计作了详细的介绍。

The functions of detection , recognition , tracking and prediction of the robots and the ball in the vision software system are realized by using the technique of image processing together with statistical signal processing . The details about the design of software system are presented .

高阶统计在信号处理的许多领域得到了广泛应用。

The higher-order statistics has found applications in the wide area of signal processing problem .

具体指的是通过图像处理的手段结合预测滤波、统计决策等信号处理方法寻找目标位置，获取目标移动轨迹实现目标定位和追踪。

The locating and tracking of objects are realized by image processing technology and filter technology in signal process .

近年来贝叶斯方法在图像和信号处理方面获得了广泛的应用，统计信号和图像处理中一个日益重要的话题就是非高斯信号特征和数据的建模。

In recent years Bayesian approaches have found an increased interest in the image and signal processing community . An increasingly important topic in statistical signal and image processing is the modeling of non-Gaussian signals features and data .

纹理分析具有许多不同的方法，其中统计分析法和信号处理法是两类最重要的方法。

Among many kinds of texture analysis methods , statistical analysis methods and signal processing methods are two typical methods .