搜索资源列表
基于EKF的多MEMS传感器姿态测量系统.caj
- 摘 要:姿态信息是飞行控制中最关键的参数之一,因此姿 态测量成为飞行控制系统首要解决的问题。利用多MEMS 传感器研制了一种微型姿态测量系统。利用三轴MEMS加 速度计和三轴MEMS陀螺数据,由方向余弦矩阵的姿态表 示形式推导了扩展Kalman滤波方程,解算出飞行器的俯仰 角和横滚角;设计专家系统判断飞行器的运动状态,并根据 该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足 静态情况和动态情况的使用;利用空速和高度数据对俯仰 角进行修正,利用GPS解算航向角。将实验结果与国外最新 的商用自动
RIPText
- 用来测试压缩感知中构造的测量矩阵的RIP的-this .m file is used to check the senging matrix RIP in CS
Measurements
- 压缩感知中一种测量方法。介绍如何构造测量矩阵。-Compression in a perceptual measurement method. Introduce how to construct measurement matrix.
calculate_F
- 计算用于双目视觉的基本矩阵，以此进行三维重构和坐标点测量-calculate F
l1magic-1.1
- 利用TV算法实现两幅图像的融合，融合规则采用最大值选取规则，测量矩阵采用傅里叶星型抽样模型-TV algorithm using two images of fusion, fusion rule with the maximum selection rule, measurement matrix Fourier sampling model star
formwei
- 坐标转换,空间坐标转换，用的是罗德里格矩阵模型，可实现摄影测量大角度转换-coordinate translation
xunhuan
- 将toeplitz矩阵作为压缩感知测量矩阵，并对其进行性能评估。-Toeplitz matrix as the measurement of compressed sensing matrix, and its performance evaluation.
Wavelet_OMP_single_layer_2
- 基于omp重构算法的压缩感知的正交化高斯测量矩阵的图像压缩算法-Based on omp restructuring algorithm compression sensation orthogonalization Gauss measurement matrix image compression algorithm
CS_OMP(change)
- 压缩感知用于信号重构恢复的程序，包括测量矩阵的修改-Compressed sensing for signal reconstruction recovery procedures, including measurement matrix changes
cs-matrix-of-measurement
- 文章是基于压缩感知理论的测量矩阵的研究。测量矩阵的选择是压缩感知理论的关键点，直接关系到信号重建效果的好坏！-Article is based on the theory of compressed sensing matrix measurement research. Measurement matrix of choice is the key to the theory of compressed sensing point, signal reconstruction is direc
compressive-sensing
- 关于图像分块压缩感知，及测量矩阵加权的三篇文章-Three articles on the image block compressed sensing, and measurement matrix weighted
CSlunwen
- 关于压缩感知理论的测量矩阵和重构算法分析！-Measurement matrix and reconstruction algorithm about CS
RIP_fi
- 计算压缩感知的测量矩阵和稀疏基的RIP因子。-This file aims to calculate the RIP factor or the measurement matrix and sparse base in compressive sensing field.
A-global-reconstruction-model
- 已有的基于分块压缩感知的图像重构模型采用相同的测量矩阵以块 ×块的方式获取数据，解决了传统ＣＳ方法中测量矩阵所需存储量较大的问题，但由于采用分块重构，没有考虑 到图像的全局稀疏度，出现了大量的块效应。-Current image reconstruction models using block compressed sensing
aaa
- 自己翻译的一篇最新外文文献《使用部分随机循环测量矩阵的1-bit压缩感知的频谱侦测网络系统》-Own translation of a the latest foreign literature " some random cycle measurement matrix 1-bit compressed sensing spectrum sensing network system
混沌序列测量矩阵
- 关于混沌序列测量矩阵构造可以得到伪随机性很好的混沌序列测量矩阵，是实现压缩感知降维测量的方便工具(As for the construction of chaotic sequence measurement matrix, a chaotic sequence measurement matrix with good pseudo randomness can be obtained. It is a convenient tool for compressed sensing and dim
Fourier
- 利用傅里叶矩阵构造压缩感知测量矩阵恢复重建概率(Using the Fourier matrix to construct a measurement matrix to recover the reconstruction probability)
CS-Mtx
- 压缩感知中压缩测量的几种测量矩阵的构造，包括伯努利矩阵，循环矩阵和部分傅里叶矩阵等。(Several measurement matrices for compression measurement in compressed sensing are constructed, including Bernoulli matrix, cyclic matrix and partial Fourier matrix.)
Gradient算法
- 生成压缩感知测量矩阵，对稀疏的离散数字信号进行压缩(Compressed sensing measurement matrix is generated to compress sparse discrete digital signals)
确定性矩阵
- 压缩感知，确定性测量矩阵构造，matlab语言编程(Compressed sensing, construction of deterministic measurement matrix)