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mypower
随机信号的功率谱估计,包括间接法,直接法,weltch法等(Random signal power spectrum estimation)
- 2010-01-11 21:54:28下载
- 积分:1
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dec2hexWithSign
有符号的十进制数转十六进制数,以及CIC的simulink模型(dec to hex transfer)
- 2014-09-19 15:48:35下载
- 积分:1
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dec2bin
decimal to binery converter
- 2013-11-08 06:26:30下载
- 积分:1
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hough
hough变换的代码,用matlab7编的(hough transform code, matlab7 made by the)
- 2008-01-28 20:32:36下载
- 积分:1
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kde.tar
kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一(KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion)
- 2009-05-13 15:33:20下载
- 积分:1
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PWSK_DSP
matlab数字信号处理工具箱,包含数字信号处理常用的一些函数(matlab diginal signal processing tool box and include some useful function.)
- 2014-10-22 19:33:58下载
- 积分:1
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C_Builder_Insider_th_the_book_source_code
C Builder内幕随书的源代码C Builder Insider with the book s source code(C Builder Insider with the book s source code)
- 2010-08-18 06:25:29下载
- 积分:1
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偏微分方程数值解 ex3.1.1p
孙志忠书:偏微分方程数值解,第三章第一节:抛物方程的有限差分解法向前欧拉格式(forward euler difference scheme for parabolic problem)
- 2010-12-13 22:48:32下载
- 积分:1
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opc_DEMO
Matlab通过OPC方式与OPC服务器通讯。
1、opc_Comm_demo.m
Matlab通过OPC方式与OPC服务器通讯Demo
2、display_opcdata
在opc_Comm_demo.m中调用的子程序(Matlab via OPC and OPC server communication means. 1, opc_Comm_demo.m Matlab via OPC and OPC server communication mode Demo 2, display_opcdata call the subroutine in the opc_Comm_demo.m)
- 2010-02-20 10:44:44下载
- 积分:1
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BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分:1