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Description: 2010年IEEE中关于仿生学在通信领域中的应用的文章合集，涉及有线网络、光网络、传感器网络方面
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Description: 生物医学信号处理方面的IEEE文章，主要是研究ECG（心电信号）的，比较有价值-biomedical signal processing IEEE article, it is mainly the research ECG (ECG), quite valuable
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Author: 王嘉 |
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Description: Robotic project titles of all 2009 ieee project titles
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Author: guhan |
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Description: Complete titles of all vlsi projects of 2009 ieee papers
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Author: guhan |
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Description: isabel ieee conference 2010 in italy-isabel ieee conference 2010 in italy...........................
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Author: suckmeBalls |
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Description: This directory includes sources used in the following paper:
Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
This code has been tested under 64-bit Linux environment using MATLAB 7.4.0.287 (R2007a).
You will be able to regenerate experiment results in the paper. However, results may be
slightly different due to the randomness, the CPU speed, and the load of your computer.
-This directory includes sources used in the following paper:
Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
This code has been tested under 64-bit Linux environment using MATLAB 7.4.0.287 (R2007a).
You will be able to regenerate experiment results in the paper. However, results may be
slightly different due to the randomness, the CPU speed, and the load of your computer.
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Author: cc |
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Description: 人脸识别IEEE 2010论文，feature extraction use constraint approximation and supression-Face Recognition IEEE 2010 paper, feature extraction use constraint approximation and supression
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Author: 杜君卓 |
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Description: Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.
We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising.
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Author: johhnny |
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Description: 2010年IEEE 的signal processing杂志-IEEE 2010, the signal processing magazine
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Author: huan |
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Description: 基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。
该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。-Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010).
The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay.
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Author: zaaa |
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Description:
The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background.
Example: To create the fig 3,4 and 5 of the paper, call the routine:
Blind_recognition_STBC2_simulation_results(512,4, PSK ,4)
Reference:
[1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.
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Author: naarkhoo |
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Description: ieee 2010 papers - Biomedical IEEE 2010, Chennai Center "Last Bench".
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Author: Ashok |
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Description: Point Set Registration: Coherent Point Drift 的源代码-Source code of Andriy Myronenko, Xubo Song, "Point Set Registration: Coherent Point Drift," IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 Feb. 2010. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.46>
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Author: crsscm |
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Description: Ieee titles for engineering students
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Author: megala |
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Description: IEEE 802 标准进展情况，与智能电网和认知无线电相关-The progress of IEEE 802 standards, with the smart grid and related cognitive radio
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Description: 国际最新DNP3标准，供开发DNP3通信软件参考。-IEEE Std 1815-2010 DNP3 latest international standards.
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Author: 杨一 |
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Description: [2010.8.10]【IEEE标准电脑鼠走迷宫仿真】[8×8.16×16]
可走8*8 也可以走16*16
具体操作步骤有文档解释-[2010.8.10] [IEEE standard computer mouse maze simulation 8 × 8.16 × 16
Go 8* 8 can go 16* 16
The specific steps the document explains
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Author: 刘世泽 |
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Description: 最新IEEE电能质量标准IEEE Std1459-2010
Power Quality Measurement Under Non-Sinusoidal Condition -IEEE Std1459-2010
Power Quality Measurement Under Non-Sinusoidal Condition
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Author: hsf |
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Description: VLSI Implementation IEEE Papers 2010 to 2014
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Author: RITEN PATEL |
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Description: 典型测试系统3
(1) 如下图所示的IEEE 9节点电力系统：
2．元件参数
（1） 线路参数
线路号 长度（km） ro(Ω/km) xo(Ω/km) bo(1/Ωkm)
L1 25 0.131 0.4 2.98×10-6
L2 50 0.131 0.4 2.98×10-6
L3 45 0.105 0.393 3.04×10-6
L4 30 0.131 0.4 2.98×10-6
L5 35 0.105 0.393 3.04×10-6
L6 20 0.131 0.4 2.98×10-6
（2） 变压器参数
变压器 容量（MVA） 变比 Pk(kW) P0(kW) Uk% i0%
T1 50 121/10.5 250 55 10.5 1.5
T2 80 121/10.5 410 98 10.5 1.5
T3 50 121/10.5 250 55 10.5 1.5
(3) 节点参数
节点名 类 型 P (MW) Q (MVar) 电压 相角
1 PQ 35 18
2 PQ 30 16
3 PQ 40 20
4 PQ 25 12
5 PQ 20 10
6 PQ 15 6
7 PV 40 1.05
8 PV 45 1.05
9 平衡点 1.05 0.0(Typical test system 3
(1) The IEEE 9-node power system shown in the following figure:
2. Component parameters
(1) Line parameters
Line number (km) ro (_/km) XO (_/km) Bo (1/_km)
L1 25 0.131 0.4 2.98 x 10-6
L2 50 0.131 0.4 2.98 x 10-6
L3 45 0.105 0.393 3 3.04 x 10-6
L4 30 0.131 0.4 2.98 x 10-6
L5 35 0.105 0.393 3 3.04 x 10-6
L6 20.131 0.4 2.98 x 10-6
(2) Transformer parameters
Transformer Capacity (MVA) Variable Ratio Pk (kW) P 0 (kW) Uk% i0%
T1 50 121/10.5 250 55 10.5 1.5
T2 80 121/10.5 410 98 10.5 1.5
T3 50 121/10.5 250 55 10.5 1.5
(3) Node parameters
Node Name Type P (MW) Q (MVar) Voltage Phase Angle
1 PQ 3518
2 PQ 3016
3 PQ 4020
4 PQ 2512
5 PQ 2010
6 PQ 156
7 PV 40 1.05
8 PV 45 1.05
9 Balance Point 1.05 0.0)
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Author: GKen |
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