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cr_sender
扩频同步时频域二维分布
R=[x,y]
surf(R)
x:-5:0.1:5
y:-0.01:0.005:0.1(Synchronous time-frequency domain spread spectrum two-dimensional distribution of R = [x, y] surf (R) x:-5:0.1:5 y:-0.01:0.005:0.1)
- 2007-09-10 02:19:49下载
- 积分:1
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nonlinerls
说明: 恒模信号估计。估计载波的频率和振幅。估计恒模信号的相位和振幅(Constant modulus signal estimation. Estimated carrier frequency and amplitude. Estimated constant modulus signal phase and amplitude)
- 2008-10-27 09:38:10下载
- 积分:1
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SNR
资料中介绍了几种经典信噪比估计算法的编码并进行比较,包括误差矢量幅值法、最大似然估计、迭代法以及奇异值分解法。(Data introduces several classical coding SNR estimation algorithm and compared, including error vector magnitude, maximum likelihood estimation, iterative method and singular value decomposition.)
- 2021-04-10 10:18:59下载
- 积分:1
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uwb4
uwb信号中高斯脉冲的产生,频谱等等的程序(Gaussian uwb pulse signal generation, spectrum of procedures and so on)
- 2009-03-29 21:07:03下载
- 积分:1
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PN_sequences1_final
说明: PN code generation for any length of generator polynomial
- 2020-10-09 16:47:36下载
- 积分:1
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my_function_library
说明: 二维直方统计图
网格为基础的,简单好用( imput:
(1) x(i), y(i) point position data
(2) bin grid number for x and y direction
(3) lowx, highx, lowy, highy
outpu:
(1) matrix X, Y for 2 dimension
(2) histogram value)
- 2009-08-18 03:05:16下载
- 积分:1
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132131312312
% 用途:选列主元Gauss消去法解线性方程组ax=b
% 格式:x=nagauss2(a,b,flag) a为系数矩阵,b为右端列向量,flag若为0,则显示中间过程
% 否则不显示,默认值为0,x为解向量
( Usage: Selected Principal Gauss elimination method solution of linear equations ax = b format: x = nagauss2 (a, b, flag) a for the coefficient matrix, b for the right side column vector, flag if it is 0, it shows the middle Otherwise, the process does not appear, the default value is 0, x for the solution vectors)
- 2006-11-22 12:55:26下载
- 积分:1
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a1
说明: face detction...................................................
- 2015-02-09 11:25:30下载
- 积分:1
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2rar
用matlab写的最近邻和K近邻法分类器,简单易懂,适合初学者(Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners)
- 2021-04-06 20:39:02下载
- 积分:1
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ILC-Method
迭代学习控制应用于多输入多输出模型,采用s函数与simulink模型结合方式(iterative control)
- 2013-08-14 16:22:48下载
- 积分:1