搜索资源列表
DownUpSampling_ByFactor2
- 该代码实现了以2为因子的图像升采样和降采样功能。-The code implements a 2-liter for the factors sampling and down-sampling the image function.
recognition
- this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements i
Sample-subset-partitioning
- 近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法 。-selecting a representative subset in NIR data using SPXY， the random sampling，and Kenn
a
- 专门讲解matlab做曲线拟合的一个教程，有示例程序的讲解，希望对大家有用-Devoted to curve fitting matlab to do a tutorial, a sample program to explain, hope to be useful
SMI
- 块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical
SHT
- shtXX 实际应用样例，有详细中文说明，已经调试验证过-shtXX the practical application of the sample, a detailed explanation in Chinese, has been verified debugging
sample-count
- 对样本进行主成分分析： 把原来多个变量划为少数几个综合指标的一种统计分析方法，是一种降维处理技术-Principal component analysis on the samples: the original more than one variable is designated as a few indicators of a statistical analysis method, a dimensionality reduction processing technology
MATLAB-sample-round
- 用nurbs矩阵形式的导数微分方程绘制一个半圆曲线-With nurbs matrix forms of derivative differential equation draw a semicircle curve
sample-GA-ysz-asal
- the rar file consist GA codes in matlab, for a single multivariable objective function. annd implemented using the golden function
Sample
- 求一段信号的样本熵Sample entropy，很实用-For a period of signal sample entropy
sample-theory-demo
- 抽样定理演示程序，能清楚看到当抽样速率大于2fs时恢复模拟信号的过程和当抽样频率小于2fs时频率混叠的过程。同时还包括频率抽样过程的演示。非常详尽。通过此演示程序，你肯定能明白抽样定理这一通信领域基本的原理！-The sampling theorem demo program, you can clearly see that when the recovery process of the analog signal sampling rate greater than 2fs and fre
Nearest-neighbor-clustering-method
- 近邻聚类法的代码实现。对样本按距离进行分类，将距离近的归为一类，直到截止阈值，以循环迭代实现。-Code of the nearest neighbor clustering method. Be classified according to the distance of the sample, a distance nearly normalized loop iteration until the cut-off threshold.
Time-Series-in-Matlab
- time series In this example we will use a synthetic data set. To create our synthetic data we will make our unit of time 1000 years = 1 ky and sample a 500,000 year record in 2 ky increments. We first create a vector containing the times:-time series
SSM_code-sample
- this code is an example of using SSM to make a meanshape in hdr images.
Generate-a-random-sample-of-size-n-from-a-finite-
- Generate a random sample of size n a finite mixture estimate of the Old Faithful Geyser data-Generate a random sample of size n a finite mixture estimate of the Old Faithful Geyser data
Design-a-CQMFB
- 设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。-Design a CQMFB, low pass filter H_0 (z) the h
tensor_unfold-sample
- 之前上传的 Tensor_unfold 包含两个文件，分别用于张量的展开和重排，但有的读者对函数的变量意义及调用格式有疑问。现在原始文件的帮助部分增加的输入及输出变量的说明，并以单独文件（sample.m）给出的具体的调用示例，一并上传，以供广大读者参阅。-The previous Tensor_unfold contains two files to be used unfold and refold a tensor, but some readers have questions for
Latin-Hypercube-sample
- 拉丁超立方采样方法是一种科学的试验设计方法，其采样点具有分布均匀，具有代表性等特点。-Latin hypercube sampling method is a scientific method of experimental design, Its sampling points are distribution, representative and so on.
The-sample-entropy
- 样本熵是时间序列复杂度的一种度量，在上个世纪末期由几位非线性动力学研究者提出。样本熵比近似熵更具有相对一致性，在分析生物信号序列的复杂度分析中已经获得成功应用。-Sample entropy is a measure of time sequence complexity, nonlinear dynamics in the late last century by a few researchers have proposed.Sample entropy than approximate e
cross-sample entropy
- 一种复杂性测度，用来计算两个信号之间的交叉样本熵。(A kind of complexity measure to calculate the entropy of cross sample)