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dtmf
• To design a GUI in MATLAB for Dual-Tone Multi-Frequency (DTMF) telephone key pad, including DTMF Signal generator and DTMF tone detector
• To simulate the DTMF signals with noise based on the specifications given.
• To decode and display the DTMF signals by using FFT algorithm
- 2007-07-28 18:17:44下载
- 积分：1
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HS
说明： Harmony Search Optimazation
- 2016-02-03 14:17:50下载
- 积分：1
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lanlan
sample visua basic hoc tap bao cao
- 2014-09-25 23:32:33下载
- 积分：1
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zinv
AN MATLAB DESIGN OF PV ARRAY
- 2013-05-02 18:14:16下载
- 积分：1
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comb
这是关于没分燃烧的udf，同学们可以借鉴，利用的是二阶矩模型(this is a combustion udf,which was using the second ju model ,you can use it for referance)
- 2014-01-22 20:27:14下载
- 积分：1
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lpc_comparator
This example program demonstrates how to use the on-chip Comparators
of the Philips LPC767/768/769 Devices. (This example program demonstrates how to use the on-chip Comparatorsof the Philips LPC767/768/769 Devices.)
- 2007-11-22 21:07:02下载
- 积分：1
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MATLAB
MATLAB中单边离散指数序列和高斯分布序列的信号产生和合成程序(Index of MATLAB in the unilateral series and Gaussian distribution of discrete sequence of signal generation and synthesis procedures)
- 2010-10-25 13:28:22下载
- 积分：1
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dm_encoder
MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems.
- 2009-12-09 08:20:58下载
- 积分：1
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Steganography_Example
This programe hides secret data inside a carrier file using LSB technique. This is example of Steganography
- 2009-06-10 23:18:02下载
- 积分：1
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ExtendedKalmanFilter
Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter.
Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )
- 2012-05-14 22:14:04下载
- 积分：1
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