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7758521
说明： 一个EXIT图的MATLAB仿真程序，已经经过了测试时正确的，可以使用，EXIT图可以有效的分析LDPC，TURBO码的度分布问题(An EXIT figure of MATLAB simulation program, had already passed the test, can use correctly, the analysis of EXIT figure can effectively TURBO yards of degrees, LDPC distribution problems
)
- 2011-03-29 11:02:30下载
- 积分：1
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Tut2_-_z_transform
DSP course Tut2_-_z_transform
- 2011-11-07 23:46:54下载
- 积分：1
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Time-distance-curve-equation
通过计算垂直缆地震产生各种波的时距曲线公式，画出其波形(By calculating Time-distance curve equation of various waveforms produced by vertical earthquakes，and draw them with matlab )
- 2013-12-06 17:07:36下载
- 积分：1
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xiaojiaodumusic
对不理想环境下信号MUSIC算法在小角度时的分辨能力进行仿真。(The signal is not an ideal environment on the MUSIC algorithm in the resolving power of a small angle to simulate.)
- 2011-05-14 18:41:45下载
- 积分：1
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chapter11
matlab神经网络43个案例分析源码11，关于连续Hopfield神经网络的优化—旅行商问题优化计算
(matlab neural network source code 11 43 case studies, optimization on a continuous Hopfield neural network- the traveling salesman problem optimization)
- 2014-11-04 21:18:22下载
- 积分：1
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mcjsmbuf
数据模型归一化，模态振动，采用的是脉冲对消法，含噪脉冲信号进行相关检测,分析了该信号的时域、频域、倒谱，循环谱等,使用起来非常方便。( Normalized data model, modal vibration, It uses a pulse of consumer law, Noisy pulse correlation detection signal, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Very convenient to use.)
- 2016-03-21 21:50:08下载
- 积分：1
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br_mapping.m
speech recognition, br recognition
- 2010-12-03 18:28:58下载
- 积分：1
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SMIsuanfashixian-zishiyingboshu
信号叠加单频噪声，并利用SMI算法在16个天线阵元数条件下计算阵列方向图(Superposition of single frequency noise signal, and the SMI algorithm using 16 antenna elements in a number of conditions calculated array pattern)
- 2011-06-22 13:53:48下载
- 积分：1
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Ambiguity_Barker
巴克码模糊图与模糊度图代码，可以直接运行！(Barker code fuzzy and fuzzy graph code
)
- 2012-08-04 20:58:30下载
- 积分：1
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MatlabSpiderToolbox
Matlab人工智能学习包，由世界领先的德国马普所制作(The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.)
- 2009-11-13 23:57:06下载
- 积分：1
