codes-for-numerical-analysis

this is apiby8D8psk captured signal for those who wants to check their algorithm for modulation classification and symbol rate estimation symbol rate used 1Mbps fs=20 or 40 MSPs and fc=5 MSPS

教您如何用matlab使用贝叶斯网络工具箱。(Teach you how to use the Bayesian network toolbox of matlab.)

MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码(MATLAB implementation of the ellipse fitting based on least-squares algorithm for the source code directly)

RLS算法的MATLAB仿真程序，仅供参考。(Direct RLS)

说明：  应用遗传算法解决多峰函数优化问题，气宗遗传算法的步骤很完备。(Application of genetic algorithms to solve multimodal function optimization, genetic algorithms gas were the steps are complete.)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

MATLAB 信号处理 带通、高通、低通滤波 FFT变换 显示并返回原始波形的FFT结果、滤波后的波形及滤波后的FFT结果(MATLAB signal processing band-pass, high pass, low pass filter FFT of the waveform display and return to the original results of the FFT, the filtered waveform and the filtered results of the FFT)

CW脉冲模糊图与模糊度图代码，可以直接运行！(CW- Pulse fuzzy and fuzzy graph code, you can directly run! )

LLE算法基于swiss roll与s-curve数据集的运行结果，选取的样本点数为N=2000、k=12、 d=2进行的降维运算的结果,由运算结果可知在不同的数据集上LLE算法依然能够很好地保持数据在降维前后结构的特点。(The LLE algorithm is based on the running results of Swiss Roll and S-curve data sets, and the number of selected sample points is the result of dimensionality reduction of N=2000, k=12 and d=2. It is known that LLE algorithm still can maintain the characteristics of the data before and after dimensionality reduction well on different data sets.)

MATLAB M FILES FOR CONTROL