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system-identification
递推最小二乘法是参数辨识中最常用的方法A 但容易产生参数爆发现象,文推导了一种更稳定的辨识方法用递推阻尼最小二乘进行系统辨识(Recursive least squares method is commonly used in the parameter identification method A but easy to produce A burst of parameter phenomenon, wen A more stable identification method was deduced using recursive damped least squares identification system)
- 2014-08-08 21:58:05下载
- 积分：1
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LDCP
a)Refer to the LDPC presentation slides provided, and use the input data provided below to decode the codeword
Repeat a) with new matrix H, codeword and σ^2 given below(a) Refer to the LDPC presentation slides provided, and use the input data provided below to decode the codeword Repeat a) with new matrix H, codeword and σ ^ 2 given below)
- 2014-11-12 08:21:03下载
- 积分：1
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HCL-Test-Paper-Pattern-(HR-Interview--Techincal-A
HCL Test Paper Pattern (HR Interview, Techincal And Aptitude)
Aptitude is an online round. There were only 2 rounds for us.
1.Aptitude(2 Apps for IT and CSE)
A. General aptitude(60 que in 50 min)
B. Technical Aptitude(Data Structures,C,OS)[25 que in 20 min]
- 2013-11-25 04:56:43下载
- 积分：1
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WVD
关于魏格纳分布的计算代码，可以得到IMF和各个特征频率以及进行希尔伯特变换。(About calculation code Wigner distribution can be obtained as well as the IMF and the individual characteristics of the frequency of the Hilbert transform.)
- 2014-01-14 17:50:29下载
- 积分：1
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15-05-0034-00-004a-ieee802-15-4a-channel-model-mat
matlab 源码 实现宽带通信中多入多出系统性能的最优化(matlab original code implement wimax system perform optical)
- 2010-09-19 19:00:24下载
- 积分：1
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Maximizing-AUV-Slow-Speed-Performance-
MIT_Maximizing AUV Slow Speed Performance (by Phillip J.LeBas)
- 2014-09-22 21:17:04下载
- 积分：1
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N-sparse
创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分：1
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dcsk
dcsk差分混沌相移键控 混沌调制解调 混沌信号生成 高斯噪声(dcsk chaos modulation awgn)
- 2021-03-24 10:19:14下载
- 积分：1
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pnn_lvq
lvq 算法 关于读取一个手写字体的数据库的代码的问题[图像图形(Identification of data sets, can be used as, the classification of experimental data. Category: Pattern Recognition)
- 2009-06-15 00:39:38下载
- 积分：1
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lfmfft
线性调频信号脉冲压缩MATLAB仿真程序(Linear FM Pulse Compression MATLAB simulation program)
- 2010-03-07 01:31:54下载
- 积分：1
