Description: A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.-A one-dimensional calibration object con sists of three or more points with Conic kno wn relative positions. It is generally believe d that a camera can be calibrated only when a 1D ca libration object is in planar motion or rotates around a Platform: |
Size: 2402644 |
Author:王峰 |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134537 |
Author:zhang |
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Description: A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.-A one-dimensional calibration object con sists of three or more points with Conic kno wn relative positions. It is generally believe d that a camera can be calibrated only when a 1D ca libration object is in planar motion or rotates around a Platform: |
Size: 2402304 |
Author:王峰 |
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Description: 对线性均衡、判决反馈均衡和最大似然序列估计均衡等三种方法的实现和误码率的分析。-Of linear balanced, decision feedback equalizer and maximum likelihood sequence estimation of three methods such as balanced realization and BER analysis. Platform: |
Size: 101376 |
Author:冯巍 |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. Platform: |
Size: 102400 |
Author:Lee |
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Description: Matlab程序，用于比较线性均衡器、判决反馈均衡器(DFE)、盲最大似然序列估计均衡器(MLSE)等误码率性能。-Matlab procedures used to compare the linear equalizer, decision feedback equalizer (DFE), Blind maximum likelihood sequence estimation equalizer (MLSE), such as bit error rate performance. Platform: |
Size: 148480 |
Author:yyc |
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Description: 在实时平台上,高斯混合模型(GMM)具有计算有效性和易于实现的优点。最大似然规则中,模型参数不
断更新,但由于爬山特征,任意的原始模型参数估计通常将导致局部最优 遗传算法(GA)适于求解复杂组合优化问
题及非线性函数优化。提出了基于说话人识别的可以解决GMM局部最优问题的GMM/GA新算法,实验结果表明,
提出的GMM/GA新算法比纯粹的GMM算法能获得更优的效果。
- In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits. Maximum likelihood rule, the model parameters are not
Broken updates, but due to climbing features, any of the original model parameter estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question
Title and non-linear function optimization. Proposed speaker recognition based on GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the
Proposed GMM/GA new algorithm than purely GMM algorithm can get better results. Platform: |
Size: 4448256 |
Author:于高 |
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Description: echniques for multi-user detection in OFDM / MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of the received signals based on received power, and this fact is exploited by the techniques discussed below. This project is going to focus on some of the more recent advances in some of the non-linear multi-user detection (MUD) techniques. A brief summary of the various techniques are given below. (Maximum Likelihood detection is not discussed here because of the computation complexity involved.)-echniques for multi-user detection in OFDM/MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of the received signals based on received power, and this fact is exploited by the techniques discussed below. This project is going to focus on some of the more recent advances in some of the non-linear multi-user detection (MUD) techniques. A brief summary of the various techniques are given below. (Maximum Likelihood detection is not discussed here because of the computation complexity involved.) Platform: |
Size: 63488 |
Author:Todd |
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Description: 本演示程序分别就线性，判决反馈，和最大似然估计均衡器的进行了误码率性能仿真。-This demo program in respect of linear, decision feedback, and the maximum likelihood estimation equalizer BER performance simulation carried out. Platform: |
Size: 102400 |
Author:miaoyi |
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Description: The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and
one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the
QSTBCs transmission without any channel knowledge at the transmitter and in the second part we analyze
transmission with QSTBCs assuming partial channel state (CSI) information at the transmitter.
For both cases, the QSTBCs are studied on spatially correlated and uncorrelated frequency flat MIMO
channels applying a Maximum Likelihood receivers as well as a low complexity linear Zero-Forcing
receivers. The spatial correlation is modelled by the so-called Kronecker Model. Measured indoor channels
are also used in our simulations to show the performance of the QSTBCs in real-world environment Platform: |
Size: 1024 |
Author:hammad |
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Description: 模式识别实验验程序
极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis Platform: |
Size: 48128 |
Author:肖达 |
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Description: 介绍了一种基于词网的最大似然线性回归无监督自适应算法，并进行了改进。根据解码得到的词网估计变换参数，词网的潜在误识率远小于识别结果，因此可以使参数估计更为准确。传统的一个很大缺点是计算量极大，较难实用，对此本文提出了两个改进技术：1利用后验概率压缩词网；2利用单词的时间信息限制状态统计量的计算范围。实验测定,误识率比传统相对下降了。-Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down. Platform: |
Size: 225280 |
Author:自然快乐 |
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Description: ：自适应技术在近年来得到越来越多的重视，其中应用广泛的包括,-.、,//0，该技术利用少量特定
人数据就可以调整码本，快速地提升识别性能，它要求原始的码本有很好的说话人无关性。本文介绍了结合
,//0 自适应的说话人自适应训练（1234536 -74289:3 649<9<=，以下简称1- ）算法，这种方法将每个说话人码本
视为说话人无关码本经过线性变换的结果，在此基础上训练的说话人无关码本更有效剔除了说话人相关信
息，因此在说话人自适应中时能根据特定数据调整更好地逼近说话人特性，从而有更好的性能表现。-Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down. Platform: |
Size: 220160 |
Author:自然快乐 |
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Description: G.723语音编码器是一种用于多媒体通信，编码速率为5.3kbits/s和6.3kbit/s的双码率编码方案。G.723标准是国际电信联盟（ITU）制定的多媒体通信标准中的一个组成部分，可以应用于IP电话等系统中。其中，5.3kbits/s码率编码器采用多脉冲最大似然量化技术（MP－MLQ），6.3kbits/s码率编码器采用代数码激励线性预测技术。-G.723 is a speech coder for multimedia communications, coding rate 5.3kbits/s and 6.3kbit/s dual-rate coding scheme. G.723 standard is the International Telecommunication Union (ITU) standard for multimedia communications in the development of a component can be used in IP telephony systems. Which, 5.3kbits/s bit rate coder using multi-pulse Maximum Likelihood Quantization (MP-MLQ), 6.3kbits/s bit rate coder uses Algebraic Code Excited Linear Prediction. Platform: |
Size: 16825344 |
Author:郝芸 |
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Description: 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the training samples, and
the representation fi delity is measured by the � 2-norm or
� 1-norm of coding residual. Such a sparse coding model
actually assumes that the coding residual follows Gaus-
sian or Laplacian distribution, which may not be accurate
enough to describe the coding errors in practice. In this
paper, we propose a new scheme, namely the robust sparse
coding (RSC), by modeling the sparse coding as a sparsity-
constrained robust regression problem. The RSC seeks for
the MLE (maximum likelihood estimation) solution of the
sparse coding problem, and it is much more robust to out-
liers (e.g., occlusions, corruptions, etc.) than SRC. An
effi cient iteratively reweighted sparse coding algorithm is
proposed to solve the RSC model. Extensive Platform: |
Size: 1216512 |
Author:刘大明 |
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Search - maximum likelihood linear