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MATLAB环境下的语音识别
- 介绍了MATLAB环境下的语音识别系统,阐述了具体的实现过程,采用离散隐马尔科夫模型,为提高识别率采用男女2套参数,对离散隐马尔科夫模型在实际语音识别系统中遇到的问题进行分析,并给出相应的解决办法
sasdw.rar
- 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
icassp99
- 利用时-频方法实现调制信号的识别，并给出正确识别率-CLASSIFICATION OF MODULATION MODES USING TIME-FREQUENCY METHODS
FCMPt-distribution
- 模式识别中的模糊聚类，没有采用传统的高斯分布，而是采用学生t分布，具有重尾特性，识别率更高。-Pattern recognition, fuzzy clustering, without using the traditional Gaussian distribution, instead of using the Student' s t distribution with heavy-tailed characteristics, the recognition rate highe
PSKmodulation
- 提出了一种不仅计算量小，而且可以在低信噪比下正确识别相位调制信号的方法。利用Matlab工具进行仿真，仿真结果表明，在信噪比不低于2 dB的情况下，对PSK子类调制信号的识别率可以达到93 以上。 -Proposed a method of calculating only a small amount, and can correctly identify the phase modulation signal at a low SNR. Use Matlab tool for simul
Face-recognition-
- 人脸的研究是跨越人文科学与自然科学的新兴交叉研究领域，在最近几年得到了模式识别领域众多学者的重视，也取得了良好的研究成果。针对人脸这种生物特征的识别，在其过程中最为重要的一个环节是特征的提取，更好的提取出人脸的特征，将会使得识别更有有效和准确，提高分类的同时，也是的识别率有良好的提高。-Face recognition research is a new cross field across the humanities and natural science, had many scholar
qing-V8.1
- 对于初学matlab的同学会有帮助，matlab实现了五类灰色关联度模型的计算,通过反复训练模板能有较高的识别率。- Matlab for beginner students will help, matlab implements five gray correlation degree computing model, Through repeated training LpCSBgplate have higher recognition rate.
vp644
- 通过反复训练模板能有较高的识别率，计算时间和二维直方图,用于时频分析算法。- Through repeated training ZAlOeoDlate have higher recognition rate, Computing time and two-dimensional histogram, For time-frequency analysis algorithm.
qa411
- 采用加权网络中节点强度和权重都是幂率分布的模型，人脸识别中的光照处理方法，在MATLAB中求图像纹理特征。- Using weighted model nodes in the network strength and weight are power law distribution, Face Recognition light treatment method, In the MATLAB image texture feature.
pc524
- 混沌的判断指标Lyapunov指数计算,IMC-PID是利用内模控制原理来对PID参数进行计算，通过反复训练模板能有较高的识别率。- Chaos indicator for Lyapunov index calculation, The IMC- PID is using the internal model control principle for PID parameters is calculated, Through repeated training TXftJbqlate have
qw702
- ML法能够很好的估计信号的信噪比,基于欧几里得距离的聚类分析，通过反复训练模板能有较高的识别率。- ML estimation method can be a good signal to noise ratio, Clustering analysis based on Euclidean distance, Through repeated training vkGKxyPlate have higher recognition rate.
madkh
- 计算互信息非常有用的一组程序,通过反复训练模板能有较高的识别率，采用波束成形技术的BER计算。- Mutual information is useful to calculate a set of procedures, Through repeated training qkCimQglate have higher recognition rate, By applying the beam forming technology of BE.
migeu
- 最终的权值矩阵就是滤波器的系数，通过反复训练模板能有较高的识别率，具有丰富的参数选项。- The final weight matrix is ??the filter coefficient, Through repeated training pKyaWiXlate have higher recognition rate, It has a wealth of parameter options.
31175278moulationclassification
- 主要是实现调制识别，区分几种常用的数字调制信号。含有两个文件夹 其一为特征参数的仿真；其二为正确识别率的仿真。文件夹key feature simulink中： 运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性，见图。 文件夹classification rate simulink中：运行main.m文件 可以得到正确识别率 见图。(It is mainly to realize modulation recognition and distinguish severa