part3

求正弦信号fft，并利用该fft计算正弦信号的功率，信噪比等(Seeking sinusoidal signal fft, fft calculated using the sinusoidal signal power, SNR, etc.)

非平稳信号分析。STFT变换及其MATLAB实现，Garbor展开、Choi-Williams分布、Wigner-Ville分布及其MATLAB实现。(Non-stationary signal analysis. STFT transform its MATLAB implementation, Garbor start, Choi-Williams distribution, Wigner-Ville distribution and its MATLAB implementation. )

This is a categorized compilation of tips for the MATLAB programmer. Items to help you to browse through them and find information that is useful. Many of the tips include a reference to specific MATLAB documentation that gives you more complete coverage of the topic.

reads files and an offset to the coordinates of the selected objects

说明：  里面包含CAPON、ML、MUSIC、RLS、LMS、循环MUSIC等算法，及算法比较(CAPON、ML、MUSIC、RLS、LMS and Cylic-MUSIC)

计算LDPC码理论性能的MATLAB程序,有例子说明,对通信系统设计很有帮助!(Calculation of theoretical performance of LDPC code MATLAB procedures have examples to illustrate the communication system design helpful!)

用Newmark直接积分算法分析61杆桁架结构的动力学特性。(Conduct the dynamic response analysis for the 61 trusses structure by Newmark.)

说明：  只要检测到反电势过零点就可以得到转子的位置信号，就可以实现无刷直流电机的无位置传感器控制。(As long as the position of the rotor is detected by detecting the zero-crossing of the back-EM potential, the position sensorless control of the brushless DC motor can be realized.)

此文介绍了matlab的在系统仿真方面应用，以及如何利用simulink进行系统仿真(the document concerns with the study of matlab)

Euclidean Distance Transform has been widely studied in computational geometry, image processing, computer graphics and pattern recognition. Euclidean distance has been computed through different algorithms like parallel, linear time algorithms etc. On the basis of efficiency, accuracy and numerical computations, existing and proposed techniques has been compared. This study proposed a new technique of finding Euclidian distance using sequential algorithm. An experimental evaluation has shown that proposed technique has reduced the drawbacks of existing techniques. And the use of sequential algorithm scans has reduced the computational cost.