3d-eddy-simulation-code

说明：  比较全面的ICA算法Matlab程序，可以作为ICA研究的基础(More comprehensive Matlab procedures ICA algorithm can be used as the basis of the study ICA)

用Matlab绘制心形图形的程序，图形很漂亮哦(Matlab draw heart-shaped graphics program, graphics is very beautiful, oh )

A MIMO multiplexing system with NT transmit and NR = NT receive antennas is designed. The main challenge for MIMO systems lies in the non-orthogonality of the transmission channel. This can be solved by turbo processing. Turbo channel encoder is used for converting the bits in its suitable form. Then different M-ary QAM is compared.

有关于图像分析的MATLAB软件,已经上机运行过,对MATLAB编程非常有用(Image AnalysisMATLAB on the image analysis software, has been running on the machine before, is very useful for MATLAB programming)

说明：  自己编的基于最抖下降法，mmse等算法的的自适应滤波器，均衡器matlab仿真程序。(own series based on the most shaking method, the algorithm mmse other adaptive filters, EQ Matlab simulation program.)

MATLAB图像分割提取算法源代码（示例车牌识别）(MATLAB image segmentation algorithm for extracting the source code (sample plate recognition))

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

堆栈自编码，通过两个稀疏自编码的堆叠和softmax分类模型，实现手写体的分类。(Stack self-encoding, since encoding by two sparse stack and softmax classification model to classify handwriting.)

power factor correction of AC to DC converter ,simulation with Matlab.

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