smooth

说明：  两份Matlab的资料，一个是关于如何与VC接口调用Matlab的程序；一个是介绍matlab如何使用(Matlab two information, one is on how to call Matlab and VC interface procedures one is to introduce how to use matlab)

说明：  LTE系统中Turbo译码MATLAB程序(turbo decoder in lte system)

this is audio retrieval based on the feature extraction such as FFT, STFT, and Power Spectral Density

最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

利用MATLAB进行测绘数据处理和分析，里边解压后有实际的程序，需要的可以用用(Use MATLAB for mapping data processing and analysis, after decompression inside there is a practical program that can be used with the required)

Denoising of Signals using customized thresholding

steganograghy tool,hidetext files in an image

自己练习用matlab语言编写的信号捕捉程序(Practice their own language with matlab signal capture process)

基于Kalman自适应滤波的QPSK信号系统逆辨识算法(Kalman Adaptive Filter Based on QPSK signal system inverse identification algorithm)

水面无人艇(Unmanned Surface Vehicle)的航迹控制对提升无人艇艇载设备 侦察观测效果以及多任务作战能力具有十分ffi要的意义。由于受到风、浪、流等 干扰环境影响,水而无人艇将产生六自由度的操纵运动,具有很强的非线性和随 机性。这将致使无人艇的航向航迹及姿态控制具有一定的难度,因此需要对水面 无人艇建立六自由度操纵模型,更好地实现对无人艇的控制。 采用经典的MMG分离建模思想,依托浜本刚实提出的水平附体坐标系,建 立水面无人艇的六自由度操纵运动方程。分析无人艇艇体、桨、舵所受的流动动 力和力矩,分别建立流体惯性力模型、流体粘性力模型、螺旋桨推力模型及舵机 模型。 考虑海况和气象环境的影响,分析风、浪作用于无人艇上的T扰力。将随机 风简化为定常风,建、风的干扰力数孕模型 采用傅汝德-克茁洛火(Froude - Krylov) 假设,研究规则波中无人艇受到的T扰力,述立波浪的r扰力数学投型。 在数学模型的站础上述立?于MATLAB/Simulink的仿i t校型,并进行典型的 冋转试验,分别分析不同海况下的无人艇的问转情况。无人艇丨 丨主航行时,在不 同海况下,绘制出其航速及船摇炻的变化曲线。通过总结分析,推论出多种海况 (The course and track control of unmanned surface vehicle (USV) is important to improve the observational effect of the recon reconnaissance equipment and the multi- -mission operational capability. Because of the effects of wind, wave and flow, the unmanned surface vehicle will produce six degrees of freedom movement which has randomicity and nonlinearity. It is difficult of the course, track and attitude control of unmanned surface vehicle, so six degrees of freedom movement model is built for the better control of unmanned surface vehicle. According to the classic MMG s separated modeling theory and the horizontal body axes system which was developed by Hamamoto, this thesis describes a six degrees of freedom motion equation of unmanned surface vehicle. Through analyzing the hydrodynamic force and moment, the fluid inertia force model, the fluid viscous force model, propeller thrust model and steering gear model are built respectively. Considering )