搜索资源列表
Error-analysis-of-structured-light
- 本文对应用于焊缝跟踪的结构光视觉传感器进行分析，包括传感器硬件系统结构误差、激光散斑噪声误差及镜头畸变误差等，并对不同结构方式下的视觉传感器建立了数学模型，具体分析了结构参数对其误差的影响，提出了结构光视觉焊缝跟踪传感器优化设计方法，对使用结构光的工作者减少误差非常有用-The corresponding for seam tracking of structured light vision sensor is analyzed, comprising the sensor hardware
hough
- matlab 椭圆拟合比较，一种新方法，减少噪点-Comparison of MATLAB ellipse fitting, a new method to reduce the noise.
Brain-Waves-Graph
- The third wave is produced by the brain. Frequency brain waves, in full waking state can vary 14 to 21 cycles per second that it is called beta brain waves. Hvshyaryman be low when for any reason, eg when lying down to sleep on the bed or floor
BP_Differ_Train
- BP神经网络算法用来拟合加噪信号，并以动量梯度下降算法和减少内存的Levenberg-Marquardt算法两种训练方法进行该实例下的性能对比-BP neural network algorithm used to fit the noise signal, and to reduce the momentum gradient algorithm and memory Levenberg-Marquardt algorithm two training methods to compare t
Image-Denoising
- 一个关于图像代码降噪的程序，从降噪的方面讲了很多知识，很值得学习-On a program to reduce the noise of image code, in terms of noise reduction of a lot of knowledge, is well worth learning
Bilateral_Filter
- 双边滤波算法，能够对图像进行处理，在保持图像细节的前提下，去除图像中的噪声，尤其是高斯噪声-Bilateral filter algorithm, which is used to processing picture. This algorithm can reduce the noise signal in the picture without losing the details of the picture, especially, the Gauss noise
noiqe
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
uhat
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
215063
- Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
zcvpp12
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
asxzee
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响-Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise
testMNF
- 最小噪声分离，能够实现高光谱遥感图像的MNF正逆变换，进行图像降维与重建(Minimum noise separation can realize the MNF positive and inverse transformation of hyperspectral remote sensing images, and reduce the image dimension and reconstruct the image)
FastICA_25
- 利用小波变换来降低信号中的噪声，通过仿真可以得出结果(Wavelet transform is used to reduce the noise in the signal)
speech reconstruction+SLP
- This paper proposes a new variant of the least square autoregressive (LSAR) method for speech reconstruction, which can estimate via least squares a segment of missing samples by applying the linear prediction (LP) model of speech. First, we show t
325224
- 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响(Design least-square deconvolution problem solving inverse filter, assume that the observation noise, in order to reduce the effects of observation noise)
EEMD
- EEMD函数代码，对信号进行自适应分解，通过多次加入噪声减少EMD边缘效应，提高分解效果(EEMD function code, adaptive decomposition of the signal, by adding noise several times to reduce the EMD edge effect, improve the decomposition effect)
ceemdan1
- CEEMDAN是对EEMD的改进算法，EEMD算法通过加入噪声来减小EMD的模态效应，CEEMDAN算法通过加入自适应的噪声来进一步减小模态效应，而且具有更好的收敛性。(CEEMDAN is an improved algorithm of EEMD, the EEMD algorithm by adding noise to reduce modal effects of EMD, CEEMDAN algorithm by adding noise adaptive mode to furth
3.20 基于Hough变换的人眼虹膜定位方法
- 针对利用Hough变换实现虹 膜定位时遇到的一些问题提出了相应的解决方案。为减少Hough变换的计算量,本算法采用了"先采样后变换"、"由粗到精"的方法;为提高可靠性、减小噪 声影响,算法利用了虹膜内外边界之间的耦合关系以缩小在边界参数空间内的搜索范围。在MAT-LAB软件环境下的试验表明,算法取得了良好的效果。(Aiming at some problems encountered in iris location using Hough transfo
PCA
- 高光谱遥感与传统的单波段、多光谱数据相比，波段量大量增加、波段宽度极大降低，对地面目标的光谱特性的测度更加细致，然而波段的增多必然导致数据量急剧增加、计算量增大、信息冗余增加以及统计参数的估计偏差增大。因此，对高光谱数据进行降维处理具有重要意义。一方面，降维能够使图像远离噪声，提高图像数据质量；另一方面，能够去除图像中的无价值波段，减少波段数，从而降低计算量，提高运算效率。主成分分析是常用的高光谱数据降维处理方法之一。(Compared with the single band, hypersp
ChaoticSignalBasedonWaveletTransform.rar
- 基于小波多分辨率分析的思想，提出一种降低混沌信号噪声的方法。首先对一个混沌时间序列进行小波分析，得到信 号在各个尺度上的不同特性;再对各个高频细节信号进行二次小波去噪;最后对二次小波去噪后的信号进行线性叠加，达到 提取真实信号的目的(Based on the idea of wavelet multiresolution analysis, a method to reduce the noise of chaotic signal is proposed. First, the wavel