bootrsp

智能天线中的d music 算法，可以实现波束赋形，权值优化等(smart antenna d music )

工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t output: X = N-by-p vector of the reorthogonalized sine taper(engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper)

本文利用MATLAB从预处理、边缘检测、车牌定位、车牌切割，字符分割、字符识别等几个方面，具体介绍了数字图像处理中车牌自动识别的原理。(In this paper , Principle of automatic license plate recognition in digital image processing is specially introduced using MATLAB from some perspectives , which conclude processing , edge detection , license plate location , license plate cutting , character segmentation ,character recognition. )

讲述了频域模板匹配的原理及算法，将图像转到频域进行处理可以提高匹配的精度(About the frequency domain template matching principle and algorithm, the image to the frequency domain processing can improve the matching precision)

齿轮啮合刚度曲线,用来计算齿轮啮合动力学作为参考的一个很不错的例子。(It is a similar method,you can change some one from it.)

Mapping and Demapping technique for Alamouti coding in Matlab command line.

本程序是关于matlab系统的ofdm的源代码及仿真分析(This program is about matlab ofdm system and simulation analysis of source code)

平坦衰落信道的MATLAB仿真（有多普勒频移） (Flat fading channels MATLAB simulation (with Doppler shift))

说明：  路径规划算法，传统人工势场法，可实现全局路径避障。(The path planning algorithm, the traditional artificial potential field method, can realize the global path obstacle avoidance.)

使用基于峭度的FASTICA盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。(FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty.)