kernel-fusion

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

说明：  使用vivado HLS工具实现的直方图均衡化(EqualizeHist with vivado HLS)

将需要处理的图像进行九等分，输出分割的图像并确认是否保存。——By LPETERPAN(Will need to deal with the image of nine equal, the output image segmentation and confirm whether to save.—— LPETERPAN)

仿真一篇国际学会论文。主要是分割粘连细胞图像。(Simulation of an International Society papers. Mainly adhesion cell image segmentation.)

自己编写图像平滑算法：均值滤波和中值滤波，设置不同的均值滤波模板，以得到最好的图像输出结果。(I have written the image smoothing algorithm: mean filter and median filter, mean filter set different templates to get the best image output.)

运动模糊图像 图像复原 维纳滤波复原 逆滤波复原 VC++6.0程序 代码(Motion-blurred image restoration image restoration Wiener filtering inverse filtering to recover VC++ 6.0 code)

张量投票算法,对连接断裂的线段有很好的效果(Tensor Voting)

不同信噪比下周期FRFT和FRFT两种方法对LFMCW信号的检测能力对比(FRFT different SNR period and the comparison of the two methods FRFT LFMCW signal detection capability)

信息检索和自然语言处理中经常会使用这些参数:准确率（Precision）、召回率（Recall）以及综合评价指标（F1-Measure ） (These parameters are often used in information retri and natural language processing (Precision), recall rate (Recall), and comprehensive uation index (F1-Measure). )

通过Matlab实现维纳滤波及逆滤波复原图像 不使用matlab自带函数 而是自编程序实现(Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program)