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wireless-matlab-0.5
simulator of wireless sensor network
operates under matlab(simulator of wireless sensor networkoperates under matlab)
- 2009-01-17 01:57:49下载
- 积分：1
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DLL__MatrixVB
基于DLL的VB和MATLAB混编实例，有图形输出和仿真结果(DLL based on the mixed VB and MATLAB examples has graphics output and simulation results)
- 2008-03-20 17:27:16下载
- 积分：1
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fiubai_v81
这是一个好用的频偏估计算法的matlab仿真程序,基于多相结构的信道化接收机，窗函数法设计一个数字带通FIR滤波器。( This is a useful frequency estimation algorithm matlab simulation program, Channelized receiver based on multi-phase structure, A window function design FIR digital band-pass filter.)
- 2021-04-09 13:29:00下载
- 积分：1
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_050412Wiley.Fundamentals.of.Global.Positioning
一本介绍GPS原理和内核算法的教程（
Matlab）(1 Introduction GPS principles and core algorithms tutorial (Matlab))
- 2007-09-04 11:34:13下载
- 积分：1
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erciduoxiangshi
二次多项式拟合的程序，如果想要深入学习的话，我还有很多程序，可以和我联系！(to study)
- 2010-09-27 09:04:10下载
- 积分：1
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GPC_matlab
matlab实现的广义预测控制算法 可供参考(matlab implementation of generalized predictive control algorithm for reference)
- 2010-02-24 15:37:02下载
- 积分：1
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2ASKPSKFSK
实现2ASK、2FSK、2PSK的调制与解调功能(2ASK, 2FSK, 2PSK modulation and demodulation functions)
- 2012-10-10 20:26:10下载
- 积分：1
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kaerman
用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。(Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.)
- 2013-11-25 19:34:21下载
- 积分：1
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NOMA_OFDM_2017
说明： NON ORTHOGONAL MULTIPLE ACCESS WITH SIC
- 2020-11-16 19:59:40下载
- 积分：1
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automatic-Emotion-predictor-sytem
A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
- 2013-11-26 22:40:05下载
- 积分：1
