DistgshAnalysis.m

Probablistic neural network for classification

对qpsk一个整体的仿真，从源信号的生成，调制，加载波，解调等，步骤清晰，与通用教材原理图逐步仿真而来(Qpsk simulation of a whole, the signal generated from a source, modulation, plus carrier demodulation step clarity, and general simulation of materials gradually from the schematic)

简单的最小二乘逼近算法，用于系统辨识，方便修改噪声参数和系统参数，为系统辨识和仿真作业的源代码。(Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identification and simulation of the source code of operation.)

说明：  一种相位调制信号的多普勒补偿方法，希望对大家有帮助。(Doppler signal of a phase modulation compensation, we want to help.)

加窗傅里叶变换（windowed fourier transform_guassian）取高斯窗。(Windowed Fourier transform (windowed fourier transform_guassian) take the Gaussian window.)

the rar file consist GA codes in matlab, for a single multivariable objective function. annd implemented using the golden function

说明：  比较三种信道估计算法的MSE曲线，通过MSE来比较他们的性能(Compare MSE curves of three channel estimation algorithms)

说明：  KPCA实现数据降维，数据部分可以自己改，用的是TE故障中的一组数据(KPCA realizes data dimension reduction, and the data part can be changed by itself. It USES a set of data in TE fault)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

CMA算法实现自适应均衡器，对学习MATLAB软件，通信专业的人有用。(CMA adaptive equalizer algorithm, to learn MATLAB software, communications professionals who useful.)