基本的天体动力学

线性方程组的cg解法matlab，可以用于cg方法来计算线性方程组(Cg solution of linear equations matlab)

for detecting fingerprint core using orientation field estimation

智能算法中的遗传算法实现最优化的文件，对原始的算法有所改进(Intelligent algorithm genetic algorithm to optimize the file to the original algorithm improvements)

用于LED的准直透镜设计，最小的准直角度可以达到10度以内。(Collimating lens for LED design, the smallest collimator angle can reach 10 degrees.)

说明：  dfig有功无功解耦控制matlab模型(Matlab model of DFIG active and reactive decoupling control)

是信号处理的基础，重要参数的提取，有CDF三角函数曲线/三维曲线图，包括最小二乘法、SVM、神经网络、1_k近邻法,各种kalman滤波器的设计，空间目标识别，采用PM算法。

通过多尺度小波变换获取图像边缘的软件包，可以用来分割图像(Through a multi-scale wavelet transform to obtain the image edge of the package)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

1 录入一段语音，对其进行时域频域处理，通过变频、变速达到变声目的，且使处理后的语音信号不影响正常收听与理解。 2 用图形用户界面（GUI）对上述变声前变声后进行时域频域图形输出，不同的频率、速度有不同的输出，且对前后波形进行比较 (1 entry a voice, the frequency domain and time domain by frequency conversion variable speed, processing to make the treatment and voice purpose, after the speech signal shall not affect the normal to listen to and understand. 2 with the graphical user interface (GUI) voice of the above voice before after the frequency domain in the time domain graphics output, different frequency, speed have different output, and compared before and after waveform )

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)