LFMfunct1-(2)

概率统计 matlab求解 参数估计 假设检验 方差分析等(Probability and Statistics matlab to solve the parameter estimation and hypothesis testing analysis of variance)

说明：  灰色关联度算法，灰色系统分析方法针对不同问题性质有几种不同做法，灰色关联度分析(GreyRelationalAnalysis)是其中的一种(Grey algorithm, gray system analysis methods for different nature of the problem there are several different approaches, gray correlation analysis (GreyRelationalAnalysis) is one of them)

生成shepp-logan 三维头模型，从官网下载(Generate Shepp-Logan 3D head model, download the official website )

matlab fem beam to solve displace

Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.(Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations.)

二级倒立摆的实例，以及详细的MATLAB代码(Two examples of inverted pendulum, as well as detailed MATLAB code)

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。 (Kalman Filter is a highly efficient recursive filter (autoregressive filter), It can complete a series of noise measurements included (in English : measurement). Dynamic System estimated the state.)

This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA. Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.

genetic algorithm matlab toolbox

OFDM_basic, Wireless communication