energy11111111

插补函数GUI，对大家很有用的，就是一个GGUI 和一个(Mtalab GUI)

说明：  MPM matlab的算法实现，在ｍａｔｌａｂ环境下实现了ＭＰＭ算法(matlab ＭＰＭ)

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.

DFIG PID CONTROL ,MODELING DFIG IN STATE SPACE MODELAND CONTROL WITH PID CONTROL

水声声速剖面反演的MATLAB仿真。用了比较基本的滤波方法ENKF。(Water sound velocity inversion sectional MATLAB simulation. With a relatively basic filtering method ENKF.)

用c语言和matlab联合编程求解非线性薛定谔程序，应用CUDA并行技术(nonlinear schrodinger equation solver)

递推偏最小二乘法的源程序，确定转换参数，解释原始信号和噪声(Using a sequence of data to trace-back parameter of a transfer function. explain step-by-step easily to this time the original signal+noise MATLAB 7.1.0 (R14SP3) identification, parameter, recursive, rls )

matlab 短时傅立叶变换的实现，用于学习，采用mesh画图(Matlab short-time Fourier transform to achieve for learning, the use of mesh drawing)

判断一个样本服从那种分布的例程,包含正态分布、指数分布等(judge which distribution did a sample follows)

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)