matlab__api

比较采用干扰消除和无干扰消除的V-BLAST系统误帧率与SNR的关系曲线。系统参数：收发天线个数M=4，N=6；设定发送信号总功率P=1；设定每一帧中的符号数Nframe=100；调制方式为16QAM；信道为不相关瑞利衰落信道。(Was used to compare the interference canceller and V-BLAST system without interference cancellation, the frame error rate and SNR curve. System parameters: the number of transmit and receive antennas M = 4, N = 6 set to send the signal power P = 1 set the number of symbols in each frame Nframe = 100 modulation for 16QAM channel is not related to Rayleigh fading channel.)

segmentation The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s).

《网络控制系统》张庆灵 邱占芝 科学出版社，书中的第九章——系统仿真分析，非常详细的介绍了matlab工具箱Truetime的内容，作为教程，简介，入门都可以(" Network control system," Zhang Ling Qiu Zhanzhi Science Press, the book' s ninth chapter- the system simulation, a very detailed description of the matlab toolbox Truetime content, as a tutorial, introduction, entry can be)

运用非线性系统产生混沌吸引子的MATLAB源代码。(The use of non-linear system chaotic attractor of the MATLAB source code.)

说明：  hallen equation :this equation is modeled as matrix equation (the voltage is equal two the current multiplied by resistance),the object is to find the current distribution.

包含了巴特沃斯滤波、维纳滤波、求灰度直方图、灰度变换、灰度图像变成RGB图像(Contains the butterworth filter, wiener filtering, gray histogram, gray level transformation, gray image into RGB image)

希尔伯特黄变换的matalb实现程序，包括emd分解、峰值检测等小程序，可用于模态参数估计。(Hilbert Huang Transform matalb implementation procedures, including emd decomposition, a small peak detection procedure can be used for modal parameter estimation.)

Greedy Group Sparsity Promoting Optmization

包含仿真结果的16QAM系统的仿真报告，每一部分给予详细说明(Contains simulation results of 16QAM system simulation reports, each giving details)

it is a knn classfier,can classfier some datasets.than you