matlab_yichuangongjuxiang

Characteristics of the closed one-dimensional object 2

说明：  模式识别中边缘直方图特征提取。。。。每张图片可以得到 一个80维的向量(Pattern Recognition Feature Extraction of Edge Histogram. . . . Each picture can get a 80-dimensional vector)

生成一段线性调频信号，并用脉冲压缩技术对信号进行接收，得到脉冲的时延信息(Generate a linear FM signal, and pulse compression technology to receive the signal pulse delay)

产生16路信号，画出16路原始信号的频谱叠加图以及滤波器响应，并画出结果信号的时域和频域波形(Generate 16-channel signal, draw 16 original signal spectrum overlay and a filter response, and draw result signals in time domain and frequency domain waveforms)

说明：  网格码，主要是进行TCM码编制。希望对大家有用。(Grid code, mainly for the preparation of TCM codes. Hope to be useful.)

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)

分析了灰度图像的脂质体，并产生不同的大小和形状参数。(This function analyses grayscale .tif images of liposomes (or any round shaped particles). This function applies to the image: 1. Histogram Equalization. 2. Low Pass Filter (variable size, default size 12). 3. Illumination Equalization (default size 120). 4. Thresholding (user input). 5. Removing Edge Particles (user input). 6. Removing Edge Particles (by size, user input). 7. High Pass Filter (default size 3). 8. Size Analysis. Default: Orientation , MinorAxisLength , MajorAxisLength , Centroid , Area . 9. Final artifact removal (user input). The output is a .txt file with a table containing all the parameters. An example is provided with the code. )

一篇经典的基于RBPF的目标跟踪论文，引用率很高。希望对大家有帮助。(A Rao-Blackwellized Particle Filter for EigenTracking)

analyse the coherence of two signals.

the matlab code of fading channel