trafik

通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。 (Through the adaptive FIR filter, constantly modify the system function, with unknown system parameters to the full approach, so that error, and achieve the purpose of system identification.)

说明：  用神经网络中的PCA算法对人脸图像进行压缩及恢复(PCA with a neural network algorithm for image compression on the face and back)

学校电子设计竞赛时做的一个小DDS系统,功能较全,基于DSPBuilder,在MatLab R2009b中仿真通过(Electronic Design Competition when schools do a small DDS system function than the whole, based on DSPBuilder, in the simulation in MatLab R2009b by)

说明：  add noise to a signal

malab有限差分应用,应用于有限差分方程计算。(finite different method.)

It is a ant colony optimization based algorithms.

matlab 工具箱，学习matlab 必用的。。。。。。。。( Chaos-Toolbox-Ver.2.0 matlab。。。。。。。。。。。。。。。)

窄带信号生成，生成窄带信号，可以自己调节信号的基础信息(Narrow-band signal generation)

说明：  模拟退火计算最优系统维护时间，系统强度与衰减符合高斯分布，cpp文件用来比较蒙特卡洛方法与用分布计算的区别(Monte Carlo Method for Calculating Optimal System Maintenance Time)

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 )