theimageedgedetection

this is GUI based SVM

说明：  1．什么是卡尔曼滤波器（What is the Kalman Filter?） 2．卡尔曼滤波器的介绍（Introduction to the Kalman Filter） 3．卡尔曼滤波器算法（The Kalman Filter Algorithm） 4．简单例子（A Simple Example） 5. 用matlab做的kalman滤波程序,已通过测试 还有下面一个 Matlab源程序，显示效果更好。 (1. What is a Kalman filter 2. Introduction to the Kalman Filter 3. The Kalman Filter Algorithm 4. A Simple Example 5. Kalman filter code with matlab, has been tested.Another Matlab code shows better.)

可靠的指纹图像细化处理算法，采用opta(Reliable fingerprint image thinning algorithm, using opta)

松下内部话机编程手册,TDA100/200最新版本5.0(pt programing manual for panasonic tda5.0)

4-ary LDPC matlab code

matlab写的元胞自动机，有GUI可以方便的使用(matlab write cellular automata, there can easily use GUI)

说明：  it is the matlab model for simulation of the class A chopper with full details of parametrs

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

理想，Buuterworth 高斯低通滤波(Ieal, butterworth gaussian low pass filter)

Rayleigh_Clarke瑞利衰落的clarke仿真以及pe_bit误比特率的计算(Rayleigh_Clarke Rayleigh fading clarke simulation and pe_bit The bit error rate calculation)