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CDMA_Simulation
This matlab file simulates CDMA system, Modulator and Demodulator modules are also available for download
- 2010-11-23 07:22:03下载
- 积分：1
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filter_design
Filter design using Hamming window
Filter Design using Kaiser window
Filter design using Bilinear Transformation of butterworth filter
- 2009-07-10 01:08:52下载
- 积分：1
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NN_UKF
神经网络（NN）结合无迹卡尔曼滤波（UKF）实现状态预测，使用的是matlab，需要结合其他理论学习，压缩包中有相应的链接，其他可自行下载(Neural Networks (NN) combine unscented Kalman filter (UKF) implement state prediction, using matlab, requires a combination of other theories of learning, compressed package the appropriate link to download other)
- 2015-11-16 01:11:11下载
- 积分：1
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GMDH
this is simple sample of Group Method of Data Handling(GMDH) neural network
main file: GMDH.m
- 2011-01-24 01:08:19下载
- 积分：1
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Gauss-lzyxq
数值分析基于Matlab环境下的Gauss列主元消去法源代码(Numerical analysis based on Matlab environment Gauss elimination pivot column source code)
- 2011-06-17 08:35:48下载
- 积分：1
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hogfeatureextract
histogram of gradient matlab code for target tracking applications
- 2015-01-26 00:41:28下载
- 积分：1
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minFD
用最速下降法求解多维函数的极值
function [x,minf]=minFD(f,x0,var,eps)
目标函数：f
初始点：x0
自变量向量：var
精度：eps
目标函数取最小值时的自变量值：x
目标函数的最小值：minf( With the steepest descent method for solving the multi-dimensional function of the extreme value function [x, minf] = minFD (f, x0, var, eps) target function: f Initial Point: x0 argument vector: var Accuracy: eps target function takes the minimum value of the independent variable values: x minimum target function: minf)
- 2015-05-31 14:43:54下载
- 积分：1
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3.bsxfun
bsxfun, 一個matlab中十分常用的函數. 可以快速地對matrix進行接位複合運算~~(bsxfun, a very commonly used in the matlab function. can quickly take place on the matrix for composite operator ~ ~)
- 2009-05-26 23:18:32下载
- 积分：1
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RLSS
说明： 一个有用的自适应算法，递推最小二乘算法。(a useful adaptive algorithm,RLS.)
- 2009-07-24 10:27:28下载
- 积分：1
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RLS
仿真对象如下：
其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。
选择如下辨识模型：
加权阵取Λ = I。
衰减因子β = 0.98，数据长度 L = 402。
辨识结果与理论值比较，基本相同。辨识结果可信
(he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)
- 2012-12-28 15:49:33下载
- 积分：1
