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modale1
power system optimal control with neural nehtwork
- 2014-10-28 20:09:08下载
- 积分：1
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kuihiu_v64
小波包分析提取振动信号中的特征频率，采用累计贡献率的方法，相关分析过程的matlab方法。( Wavelet packet analysis to extract vibration signal characteristic frequency, The method of cumulative contribution rate Correlation analysis process matlab method.)
- 2016-06-03 16:51:25下载
- 积分：1
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OFDM_16QAM
OFDM 16QAM Simulink model
- 2009-07-14 17:03:30下载
- 积分：1
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cyclic_cross_correlation
说明： 循环平稳时间序列的循环互相关的matlab程序(Cyclostationary time-series of the cycle of inter-related procedures matlab)
- 2008-10-03 20:48:50下载
- 积分：1
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lobpcg
Conjugate gradient method
- 2011-06-05 03:27:28下载
- 积分：1
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DIGITAL-COMMUNICATION
Given k = 4 n = 7 and
G= 1 1 0 1 0 0 0
0 1 1 0 1 0 0
1 1 1 0 0 1 0
1 0 1 0 0 0 1
i. produce 16 possible message blocks
ii. produce all the pertaining codeword vectors
- 2011-08-26 10:00:54下载
- 积分：1
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caseNPG
NPG power system data
- 2013-11-27 18:34:08下载
- 积分：1
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Filtro-3-vias
This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. The transmitter?s symbol period is T and set to a value of 100 ms. The symbol period at the receiver is Tr. The model will produce six windows: Two constellation plots and two eye diagrams (for the real part only), at the output of the matched fi lters and after the recovery loops a plot of the phase error (output of the NCO) and a plot of the fractional timing error (used in the interpolator). The frequency off set at the receiver is denoted by deltaf. The model simulates the transmission of 8000 QPSK symbols.
- 2015-02-03 08:10:37下载
- 积分：1
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MATLAB/Simulink搭的三相电压锁相环模块 PLL
自己用MATLAB/Simulink搭的三相电压锁相环模块，输出幅值相位和频率(Use their own MATLAB/Simulink take the three-phase voltage phase-locked loop module, the output amplitude phase and frequency)
- 2020-06-27 02:20:02下载
- 积分：1
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Face_recognition
基于matlab的人脸识别分析，参考文献为：
[1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and
Gestures (Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures)
- 2010-07-06 10:15:33下载
- 积分：1
