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well_2_sats
this is a well data number 2 for RPH sample, stored in las format
- 2013-09-01 00:47:13下载
- 积分：1
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IM
modeling of Induction Motor using, voltage, flux and torque equations
- 2013-09-26 04:24:50下载
- 积分：1
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analog-lab_suresh-sir
analog communication lab experiments and source codes using MATLAB
- 2011-01-24 19:47:31下载
- 积分：1
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robotPIDcotrol
说明： 机器人PID控制仿真 控制律设计 以及收敛性分析(robot PID control )
- 2009-08-23 23:17:31下载
- 积分：1
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MIMO-OFDM-matlab-codes
一系列详细介绍MIMO和OFDM仿真技术的MATLAB程序，价值很高啊。(A detailed simulation of MIMO and OFDM MATLAB programs, high-value ah.)
- 2011-10-07 07:31:57下载
- 积分：1
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BSSGUIlunwen
盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)
- 2017-09-20 11:01:09下载
- 积分：1
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MATLAB-Codes
time series prediction use ANN
- 2013-12-17 19:06:53下载
- 积分：1
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psoSVM
粒子群优化支持向量机代码，可用于预测分析(Particle swarm optimization support vector machine code, can be used for predictive analysis)
- 2017-08-08 13:42:42下载
- 积分：1
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P201009054
NN算法实现数字卡片的识别，输出0-9的奇偶识别，Matlab下实现(NN algorithm identification card number, the output parity 0-9 recognition, Matlab to achieve)
- 2010-10-24 10:58:56下载
- 积分：1
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Wav_denoise
对于原始图像中只含有较少的高频噪声，采用合适的小波分解洗漱阈值量化方法进行去噪(For the original image only contains less high frequency noise, the use of appropriate wash wavelet thresholding denoising method)
- 2013-09-03 20:45:43下载
- 积分：1
