zhuantai_j

newton steepest descent quazi newton

QPSK调制下在AWGN和Rayleigh衰落信道下的仿真以及误码率计算，包含完整的报告说明(QPSK modulation in AWGN and Rayleigh fading channel simulation, as well as bit error rate calculation, the report contains a complete description)

matlab实现牛顿插值，一个简单的程序(matlab implementation of Newton interpolation, a simple procedure)

matlab仿真PID控制一书源代码，测试了部分代码，可以正常运行。(matlab simulation of PID control, a book source code, test some code, you can run.)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

船舶在波浪上运动的RAO运动响应因子计算，基于MTALAB的计算程序(Wave on the movement of ships in motion RAO response factor calculation, based on the calculation procedure MTALAB)

直流电机PI控制器稳态误差分析，自动控制的简单应用。(PI controller, DC motor steady-state error analysis, the simple application of automatic control.)

结构系统失效模式可靠性Monte-Carlo法 结构系统失效模式研究与可靠性分析(Structural system reliability failure modes Monte-Carlo method structural system reliability analysis and failure mode study)

Hand Gesture Recognition NOTES: 1) For the details of the algorithm investigate the following images: -AlgorithmOverall.jpg -MKRoDAlgorithm.jpg 2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0 3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL. 4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y". ---------------------------------------------------------------- Use execHGR.m inside the Project folder in order to execute the program. I hope you will enjoy it.

Beschreibung zur wind turbine Tool Box