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Hidden_Markov_wavelet_denoising_matlab_program
介绍了小波隐马尔可夫去噪的matlab程序(Introduced the wavelet denoising matlab Hidden Markov process)
- 2009-10-19 00:31:18下载
- 积分：1
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Power-Flow-Calculation-Methods
介绍了配电网基本的几种潮流计算算法以及其基本思路(Weakly Meshed Distribution Power Flow Calculation Methods)
- 2011-04-19 17:34:24下载
- 积分：1
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chapter1_10
Modern wireless device have sleep mode which greatly reduce the duty cycle of the power supply.Consider the effect of different duty cycles and transmit times to see the wide range of battery lifetimes one may expect before recharging.
results is being plotted of battery lifetime as a function of the duty cycles & duration of the wake up mode.
- 2013-10-07 22:36:13下载
- 积分：1
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1111
卡尔曼滤波的MATLAB实现 卡尔曼滤波的原理和实现代码
(Kalman filter MATLAB and implementation of the principle of Kalman filtering code)
- 2013-12-20 20:51:09下载
- 积分：1
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CT-MONO2-16-brain
watershed programming
- 2010-10-27 15:31:35下载
- 积分：1
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Matlab-Laser-Toolbox-0.1beta
Laser Toolbox provides several functions and scripts for analysis and visualization of laser beam properties, as well as, functions to calculate the interaction (e.g. induced temperature by absorbed laser energy in a solid) in a material.
- 2017-11-24 06:45:06下载
- 积分：1
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ber_ldpc2
ber_ldpc G(F)non bariny LDPC code
- 2013-12-23 15:35:51下载
- 积分：1
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Sect6_3figs
阵列处理第六章第三节 demo 源代码 matlab code(array processing matlab code)
- 2012-04-27 09:10:36下载
- 积分：1
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code
多传感器信息融合技术相关的代码，适用于初期和中期学习参考(Multi-sensor information fusion technology related code, suitable for early and mid-study reference)
- 2015-04-20 22:47:48下载
- 积分：1
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MUSIC
MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)
- 2014-02-19 13:23:48下载
- 积分：1
