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function3
The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
- 2011-02-12 00:12:28下载
- 积分：1
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NonlinearICA_Toolbox
说明： 非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数(independent component analysis (ICA))
- 2021-04-29 14:48:43下载
- 积分：1
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AM
说明： 基于simulink的AM调制与解调仿真(AM modulation and demodulation simulation based on simulink)
- 2013-04-11 19:29:12下载
- 积分：1
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LPRsystemforcarparkmonitoringsystem
This is a MATLAB coding for license plate recognition system.
- 2010-10-25 01:25:09下载
- 积分：1
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RF_circuit_design
射频电路设计的全部MATLAB计算仿真程序。(RF circuit design all MATLAB simulation program.)
- 2008-08-12 19:42:51下载
- 积分：1
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homework6
产生有色噪声污染的谐波，并设计带通巴特沃斯滤波器和切比雪夫I型滤波器(Colored noise pollution generated harmonics, and to design band-pass Butterworth filter and Chebyshev-I filter)
- 2010-07-22 16:20:48下载
- 积分：1
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svdmode
相空间重构及奇异值分解代码，可用于消噪处理，希望有所帮助(Phase space reconstruction and singular value decomposition code, can be used to eliminate noise processing, Hope that helps)
- 2011-07-20 11:46:05下载
- 积分：1
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PMSM-speed-sensorless-control-method
Permanent magnet synchronous motor speed sensorless control method
永磁同步电机的无速度传感器控制策略(Permanent magnet synchronous motor speed sensorless control method)
- 2013-05-04 00:39:28下载
- 积分：1
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denoise_julei
利用聚类算法和小波分析进行声发射信号的阈值去噪
(The use of clustering algorithms and thresholding wavelet analysis of acoustic emission signals)
- 2014-01-06 09:54:50下载
- 积分：1
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census
it much easier to vary the parameters and see the results, but the underlying mathematical principles are unchanged. It shows that using polynomials of even modest degree to predict the future by extrapolating data is a risky business.
- 2010-06-01 03:58:50下载
- 积分：1
