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FDIbasedonSIRlikelihood
基于粒子滤波的故障检测,使用似然函数作为检测函数(Particle filter-based fault detection, the use of likelihood function as a detection function)
- 2009-05-20 21:01:51下载
- 积分：1
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matlab第n位平面
matlab 程序例子(利用matlab 求位平面)(Matlab procedures example (using Matlab for bit-plane))
- 2005-06-03 22:57:31下载
- 积分：1
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DSG3
tsoruce code for the steam section in parabolic trough collector
- 2011-09-01 19:44:22下载
- 积分：1
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doppler-compensation
雷达信号的多普勒补偿问题，对雷达整个的工作过程进行了仿真，多普勒进行了估计和补偿(Doppler radar signal compensation, work on the radar the whole process was simulated Doppler estimation and compensation were)
- 2014-02-27 15:31:10下载
- 积分：1
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noise_reduction
设计音频降噪算法，并用MATLAB仿真实现。
1）读入一段音频后添加噪声，必须包括两种不同的噪声，信噪比：0dB~10dB；
2）分别采用滑动平均滤波器，直接频域滤波，以及谱分析后设计滤波器滤波三种方法实现，并对比效果。
3）给出各种方案的设计依据、代码、频响曲线，以及输入输出对比图。(Audio noise reduction algorithm design, and use MATLAB Simulation.
1) Read after adding noise into an audio, it must include two different kinds of noise, SNR: 0dB ~ 10dB
2) respectively moving average filter directly in the frequency domain filtering, and the filter is designed to achieve three methods filter after spectral analysis and contrast.
3) Give the design basis, code, frequency response curve, and input and output comparison chart of the various programs.)
- 2015-10-25 11:03:34下载
- 积分：1
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ofdm_simu_matlab
这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。
(This is a relatively complete simulation of OFDM systems design,including coding,modulation,IFFT, up and down conversion, Gaussian channel model, FFT, PAPR suppression of synchronization, demodulation and decoding modules, and systems, including system performance simulation verifies the reliability of system design.)
- 2011-07-05 16:39:17下载
- 积分：1
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distfcm
求解各样本与各聚类中心的距离矩阵，只需输入样本和初始聚集中心。(Disfcm can solve distance.)
- 2014-09-05 15:53:24下载
- 积分：1
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SVM
In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.
- 2014-12-14 21:33:26下载
- 积分：1
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ica_for_pid_design
ica for pid design project
- 2014-09-15 02:03:04下载
- 积分：1
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code
function []= DWTSVD_JPEG(), jpeg and dwt compression matlabimages
- 2014-10-05 02:43:39下载
- 积分：1
