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analogue-modulation-recognition
- 针对盲模拟调制信号的自动识别算法,利用了盲信号识别中常用的gamma、ap、dp、P等参数,并附送dsb、lsb、usb、am、fm信号的生成程序-Automatic analogue modulation recognition using MATLAB. There is also a function to generate dsb,lsb,usb,am,fm signal
ffff
- 通信 信号识别 最后程序运行后得到一图形 用于辨识-phone
jcsb
- 文中研究了6种常用数字调制信号识别的特征参数集,并采用决策树判别方法进行分类识别。仿真结果表明,在SNR≥5dB时,识别正确率在99 以上,且当SNR≥20dB时,识别正确率达到100 。其特点是,算法简单,识别正确率高,达到了自动分类识别的目的,并有利于实现识别的实时化。-In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulatio
Untitled8_2PSK
- 2PSK的调制,波形生成,滤波器生成,信号识别-2PSK modulation, waveform generation, the filter generation, signal recognition
Untitled_am
- AM信号的生成,图形生成,滤波器生成,信号识别-AM signal generation, pattern generation, the filter generation, signal recognition
Untitled_fm
- fm信号的生成,图形生成,滤波器生成,信号识别-fm signal generation, graphics generator, the filter generation, signal recognition
bpsk-cyclic-spectrum
- BPSK信号循环谱,里面有他的切面图,用于与其他信号识别-BPSK signal cyclic spectrum, his cutout for recognition with other signal
multiScale_KalmanFilter
- 用多尺度卡尔曼滤波法,对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme
non-Gaussian-noise-Identification
- 该文提出一种基于广义分数阶傅里叶变换和分数低阶Wigner-Ville 分布的数字调制识别新方法,该方法提取广义分数阶傅里叶变换的零 中心归一化瞬时幅度谱密度的最大值和分数低阶Wigner-Ville 分布幅度的最大值作为识别特征参数,并采用判决树分类器,实现了非高斯噪声下数字调制信号识别。-This paper presents a generalized fractional Fourier transform and fractional lower order Wigner-Vill
OFDM
- 基于OFDM的盲信道估计与信号识别的算法,很基本的内容,特别是盲信道估计-Blind channel estimation based on the OFDM signal recognition algorithm, the basic content, especially blind channel estimation
Emd111
- 一种实现数据经验模态分解得到IMF分量以进行信号识别的方法-Data empirical mode decomposition IMF components for signal recognition
svd
- 奇异值分解,也叫奇异值降维,能够用在信号识别上。-Singular value decomposition, also called the singular value dimensionality, can be used in the signal recognition.
Speech-signal-classification-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech re
classification-of-Speech-signal-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果-Recognition is the speech characteristic signal in the field of speech recognition is an i
juanji
- 卷积积分的MATLAB实现 相关函数与卷积的关系及MATLAB实现 通过实验熟悉自相关和互相关性质在周期信号识别、延迟信号检测、CDMA中的应用。-Convolution integral correlation function of MATLAB and MATLAB convolution relationship through experiments familiar autocorrelation and cross correlation properties of the p
classification
- 调制信号识别,利用设计的算法识别出调制信号。-Modulated signal identification, the use of algorithms to identify the design modulated signal.
HMM
- 隐马尔可夫模型源代码,对于语音信号识别有很好的作用-Hidden Markov model source code for speech signal recognition have a good effect
BP
- 语音信号识别 BP神经网络的研究 只需要简答的修改就可以了-Speech signal recognition BP neural network research
BPDLX
- 语音信号识别 BP神经网络的研究 只需要简答的修改就可以饿了-Speech signal recognition BP neural network research
ssa
- 即奇异谱分析,广泛应用于信号识别与预测。-SSA, that singular spectrum analysis, widely used in signal recognition and prediction.