matlab_oringin_code

PAM数字调制，matlab/simulink(PAM digital modulation, matlab/simulink)

DS-CDMA中匹配滤波器误码率分析，只是一直为零，感觉没有错阿。(DS-CDMA matched filter error rate analysis, but the zero, A feeling nothing wrong.)

对预处理及分割之后的图像进行识别 利用BP神经网络进行训练 学习(On after pretreatment and segmentation of image recognition using BP neural network for training study)

对DOA算法中的MUSIC算法进行了改进，使其对DOA的估计更准确,(Algorithm for DOA MUSIC algorithm has been improved to make it more accurate estimates for DOA,)

power flow solutions using Newton Raphson technique on IEEE 14, 30 and 57 bus system. useful for those who want to learn optimization technique in power system. if you find any difficulty mail me or any suggestion is welcome to improve this code.

This paper discusses the impact of HVDC on Power System Stability and proposes a new control mechanism based on Fuzzy set theory to augment dynamic performance of a multi-machine power system. To have good damping characteristics over a wide range of operating conditions, deviations in speed and acceleration of the machines are chosen as the input signals to the fuzzy controller. These input signals are first characterized by a set of linguistic variables using fuzzy set notations .The fuzzy relation matrix allows a set of fuzzy logic operations that are performed on controller inputs to obtain the desired output. The effectiveness of the proposed controller is demonstrated by a multi-machine system example. The performance of this fuzzy controller, in comparison to the conventional fixed gain controller, demonstrates the efficacy of this new fuzzy PID controller. Index Terms—HVDC, Eliminated variable

用MATLAB编写实现图像几何校正的程序。采用控制栅格的方法。(Prepared using MATLAB for Image geometry correction procedures. Using the control grid method.)

超声2维成像，运用DAS算法，算法比较简单，可供初学者看看。(2-dimensional ultrasound imaging, the use of DAS algorithm, the algorithm is relatively simple for beginners to see.)

频域子空间算法 能实现多输入多输出的matlab源代码(Frequency domain subspace algorithm can achieve multiple input, multiple output matlab source code)

自适应K-均值聚类算法,能够随着聚簇数目的变化而自动调整聚类数，以最合适的聚簇数目来进行数据分类。(Adaptive K-means clustering algorithm, the number can be clustered with the changes in the number of clusters is automatically adjusted to the most appropriate number for clustered data classification.)