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chp2-5
精通matlab图像处理的配套光盘内有2-5章的程序代码(matlab,image process)
- 2010-05-08 14:48:02下载
- 积分:1
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APF_Threelevel_OK6
自己搭建的三电平二极管钳位式有源滤波器,采用双闭环控制方法,利用SVPWM作为触发脉冲(Built their own three-level diode clamp active filter, the use of double closed-loop control method, the use of SVPWM as a trigger pulse)
- 2017-05-11 09:20:11下载
- 积分:1
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Tsai
说明: 相机标定,Tsai 算法,Matlab实现(Camera calibration, Tsai algorithm, Matlab achieve)
- 2008-09-19 18:44:39下载
- 积分:1
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fast_marching
在Juan Cardelino发布的FMM(fast marching methos)2维程序基础上改写的3维程序。并改写成适合复杂速度模型,可用于地震旅行时计算。大模型3d算法在matlab下计算速度较慢,根据源码中的注释很容易改写成c程序。(3D FMM program revised from Juan Cardelino s 2D version. The program can calculate the seismic traveltimes in 3D complex model)
- 2021-04-10 10:28:59下载
- 积分:1
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2dpsk
用matlab实现2dpsk的图形仿真最基础的东西(Graphics with matlab simulation to achieve 2dpsk the most basic things)
- 2011-06-11 17:27:36下载
- 积分:1
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af-dfincooperationcommunication
协作通信中的af-df转发源码,matlab版本
(Cooperative communications forward in af-df source, matlab version)
- 2010-12-04 12:58:14下载
- 积分:1
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attach
说明: MATLAB 代码 包括对scm 和scme信道的实现代码,附加端口说明(MATLAB code included scm and scme channel implementation code, additional port description)
- 2010-04-23 22:02:55下载
- 积分:1
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lsqcurvefit
非线性曲线拟合是已知输入向量xdata和输出向量ydata,并且知道输入与输出的函数关系为ydata=F(x, xdata),但不知道系数向量x。今进行曲线拟合,求x使得输出的如下最小二乘表达式成立:
min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment:
min Σ (F (x, xdatai)-ydatai) ^ 2)
- 2014-09-20 12:35:52下载
- 积分:1
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MATLAB_QAM
接收机解调形成的16-QAM符号,通过仿真来估计误符号率(receiver decodes the signal of 16-qam, simulate the ber per signal)
- 2009-04-01 20:38:48下载
- 积分:1
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lpc
线性预测分析是最有效的语音分析技术之一,在语音编码、语音合成、语音识别和说话
人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是:一个语音信号的
抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样
值的均方误差达到最小,可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of linear prediction of speech is: a voice signal sample values can be approximated by a linear combination of a plurality of sample values of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)
- 2014-11-23 19:56:59下载
- 积分:1