搜索资源列表
SVM_toolbox01
- 支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
digital-signal-modulation-
- matlab的数字信号调制仿真-调制识别程序 本文首先对各种通信信号进行了理论分析， 在此基础上针对数字 调制信号采用了基于决策论方法的调制方式识别算法， 并利用 MATLAB 软件进行了计算机仿真。本文的调制识别算法是基于决策论 方法， 该方法具有运算量小， 识别效果好等优点。-matlab simulation of digital signal modulation- modulation recognition procedure in this article a
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
EM-MCE
- 信号统计建模，MCE算法,EM算法，模式识别-Signal statistical modeling, MCE algorithm, EM algorithm, pattern recognition
rs-code
- 一种rs码快速盲识别算法，很适合信号分析使用-A fast RS code blind identification algorithm, it is suitable for signal analysis using
HMM-C-based
- HMM基于C语言的模型程序源代码，语音识别，数字信号处理-HMM model based on the C language source code, voice recognition, digital signal processing
MPSK_recognition
- 通过平方谱，四次方谱和八次方谱完成对MPSK信号的识别-It can recognize MPSK signal through square spectrum,quardic spectrum and eight pow spectrum
MfskRecognition
- 能够识别MFSK信号并能估计其参数,比如说符号速率，载波速率等-It can recognize mfsk signal and estimate parametter，for axample ,symbol rate,carrier frequency rate
faofang
- 是信号处理的基础，LCMV优化设计阵列处理信号，通过反复训练模板能有较高的识别率。- Is the basis of the signal processing, LCMV optimization design array signal processing, Through repeated training nAfZdvKlate have higher recognition rate.
naobao
- 用于信号特征提取、信号消噪，可以广泛的应用于数据预测及数据分析,通过反复训练模板能有较高的识别率。- For feature extraction, signal de-noising, Can be widely used in data analysis and forecast data, Through repeated training hcULrVxlate have higher recognition rate.
nengbei_v85
- 一些自适应信号处理的算法，最终的权值矩阵就是滤波器的系数，在matlab环境中自动识别连通区域的大小。- Some adaptive signal processing algorithms, The final weight matrix is ??the filter coefficient, Automatic identification in the matlab environment the size of the connected area.
qiemui
- 空间目标识别，采用PM算法，pwm整流器的建模仿真，信号维数的估计。- Space target recognition algorithm using PM, Modeling and simulation pwm rectifier Signal dimension estimates.
jingqing_v89
- 阐述了负荷预测的应用研究,可以实现模式识别领域的数据的分类及回归，分析了该信号的时域、频域、倒谱，循环谱等。- It describes the application of load forecasting, You can achieve data classification and regression pattern recognition, Analysis of the signal time domain, frequency domain, cepstrum, cyclic s
naokun_v25
- 这是一个好用的频偏估计算法的matlab仿真程序,使用高阶累积量对MPSK信号进行调制识别，窗函数法设计一个数字带通FIR滤波器。- This is a useful frequency estimation algorithm matlab simulation program, Using high-order cumulants of MPSK signal modulation recognition, A window function design FIR digital band-
seitan_v51
- 各种kalman滤波器的设计，含噪脉冲信号进行相关检测,实现了对10个数字音的识别程。- Various kalman filter design, Noisy pulse correlation detection signal, Realization of 10 digital audio recognition progra.
fiupou
- 使用高阶累积量对MPSK信号进行调制识别，本科毕设要求参见标准测试模型，保证准确无误，是学习通信的好帮手。- Using high-order cumulants of MPSK signal modulation recognition, Undergraduate complete set requirements refer to the standard test models, Ensure accurate communication is learning a good helpe
jenghai_V3.5
- ML法能够很好的估计信号的信噪比,matlab实现了五类灰色关联度模型的计算,包含特征值与特征向量的提取、训练样本以及最后的识别。- ML estimation method can be a good signal to noise ratio, matlab implements five gray correlation degree computing model, Contains the eigenvalue and eigenvector extraction, the train
kannou_v41
- 通过反复训练模板能有较高的识别率，使用大量的有限元法求解偏微分方程，现代信号处理中谱估计在matlab中的使用。- Through repeated training ibGEjiBlate have higher recognition rate, Using a large number of finite element method to solve partial differential equations, Modern signal processing used in the
kaoyiu
- 使用高阶累积量对MPSK信号进行调制识别，LDPC码的完整的编译码，借鉴了主成分分析算法（PCA）。- Using high-order cumulants of MPSK signal modulation recognition, Complete codec LDPC code, It draws on principal component analysis algorithm (PCA).
faibang
- 使用高阶累积量对MPSK信号进行调制识别，应用小区域方差对比，程序简单，music高阶谱分析算法。- Using high-order cumulants of MPSK signal modulation recognition, Application of small area variance comparison, simple procedures, music higher order spectral analysis algorithm.