ruihua

MATLAB初学者 MATLAB初学者 包好了一些用matlab解微分方程的源程序(MATLAB beginner beginners MATLAB wrap some source code for solving differential equations using matlab)

中值滤波的matlab实现,根据K-means算法对图像进行滤波等功能(The K-means filte base on matlab.)

说明：  《高阶谱分析》例题5.4，根据零极点分布建立传递函数，求解冲击响应和系统输出，求解高阶矩或累计量，计算倒谱参数。( Higher-order spectral analysis, Example 5.4, according to the distribution of zeros and poles of transfer function to establish, to solve the impact of response and system output, for solving high-order moment or cumulant calculated cepstrum parameters.)

任意几何形状和阵元指向性的传感器阵列优化波束形成方法(Arbitrary geometry and element directivity optimization of the sensor array beamforming method)

在matlab中使用牛顿插值完成对多项式插值的拟合(Using Newton' s interpolation in matlab to complete the fitting of polynomial interpolation)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

DRROBOT I90的基本應用以及智慧型影像錄相機無線移動系統(The basic application DRROBOT I90, and intelligent video recorder wireless mobile systems)

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with equal gain combining

用与语音信号处理中的预处理中MATLAB原代码 (Used with the voice signal processing Preprocessing the original MATLAB code)

说明：  具有遗忘因子的最小二乘算法实现的一个案例，包含了仿真模型及M文件，且M文件配有详细的注释，通俗易懂。(Least squares algorithm with forgetting factor to achieve a case, including the simulation model and the M file, and the M file with detailed notes, easy to understand.)