mimomo

一个matlab的基于SIFT算子的logo图像识别代码(A SIFT-based matlab operator identification code of the logo image)

说明：  利用matlab开发的mri图像分析工具包(the toolbox for MRI analysis with matlab)

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

This is a generic code for finding FFT of variable string size without using built-in MATLAB function.

该代码是matlab编写的C均值聚类算法，具有速度快，聚类效果好的特点(The matlab code is written in C means clustering algorithm, a fast clustering and a good effect)

差分运放的matlab仿真代码差分运放的matlab仿真代码(Matlab simulation of the op amp differential)

MATLAB / IMAGE PROCESSING / ACTIVE CONTOUR TOOLBOX Copyright (c) 2006, Eric Debreuve All rights reserved.

认知无线电频谱感知能量检测算法，噪声不确定(Cognitive radio spectrum sensing energy detection algorithm, noise uncertainty)

MATLAB编写的一个M文件，实现二分法求函数f在[a,b]上的一个零点，牛顿插值法(MATLAB prepared a document M, realize dichotomy for function f in [a, b] a zero, the Newton interpolation)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.