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fuzz5
模糊聚类算法在选取划分上的实例应用，绝对源码，绝对可用(fuzz cluster algorithm applying on zoning pariton.)
- 2011-01-30 07:54:58下载
- 积分：1
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digitalmodulate
各种调制方式的matlab源码bask.m, bfsk.m, bpsk.m, msk.asv, msk.m, qpsk.m, raymodel.m(various forms of Matlab modulation source bask.m, bfsk.m, bpsk.m. msk.asv, msk.m, qpsk.m, raymodel.m)
- 2007-03-20 21:32:49下载
- 积分：1
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EKF
说明： 扩展卡尔曼滤波例程，data为数据，EKF是处理数据的函数(Extended Kalman filter routine, data for the data, EKF is a function of processing data)
- 2011-03-02 16:52:43下载
- 积分：1
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fz
matlab进行偏最小二乘的四种分组方法(Four grouping method of partial least squares matlab)
- 2015-04-15 10:50:41下载
- 积分：1
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yiulie
验证可用，分析了该信号的时域、频域、倒谱，循环谱等,构成不同频率的调制信号。( Verification is available, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Constituting the modulated signals of different frequencies.)
- 2016-11-20 16:54:38下载
- 积分：1
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leeteawonfastiva
韩国lee tea won博士的fast iva的论文以及matlab源程序 (Lee Teawon s fast independent vector analysis for convolution BSS. )
- 2010-11-04 19:24:15下载
- 积分：1
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goldensectiondichotomy
一个黄金分割法,可以运行，不过只是最终结果，想要中间过程就得自己想办法了，我也不会了。两个二分法可以(A golden section method, you can run, but only the final result, like the middle of the process would have their own ways, and I will not. 2 dichotomy can be)
- 2010-02-02 17:58:52下载
- 积分：1
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Microphone-volume-level
Noise Detection (Microphone volume level) - Windows Phone Silverlight.zip MSDN源代码(Noise Detection (Microphone volume level)- Windows Phone Silverlight.zip)
- 2015-12-23 17:10:56下载
- 积分：1
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xiaoshijv
用来说明小波消失矩作用的程序，也是用一维信号(used to illustrate the role of vanishing moments procedures, as well as one-dimensional signal)
- 2006-10-17 19:53:12下载
- 积分：1
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基于GMM的说话人识别
语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)
- 2019-04-06 10:53:48下载
- 积分：1
