simple_OFDM-master

这是用于计算转子——轴承系统不平衡响应的程序，转子用集总参数法简化，轴承支撑为各项同性支撑(This is used to calculate the rotor- bearing system unbalance response procedure, the rotor with a simplified lumped parameter method, the bearing support for the homosexual support)

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)

通过EMD和wavelet对加噪信号去噪，改善信噪比后进行互相关，提高时延估计精度(To enhance the prediction of time delay,using EMD and wavelet methods to denoising the signal.)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

matlab 软件接收机 完成跟踪和捕获 以及定位解算功能 包括运行需要的中频数据(matlab SOFTWARE RECEIVER)

用matlab实现了16-QAM的调制解调过程，效果良好。(Achieved using 16-QAM matlab modulation and demodulation process to good effect.)

用于时间序列的去噪以及预测，基于独立成分分析的最小二乘时间序列方法。(Noising for time series and forecasting, time series least squares method based on independent component analysis.)

data converters by maloberti

暗示大家说的教案设计的就撒娇的就撒娇大家(js)

说明：  包含一篇英文文章，基于ML定时同步和信道估计，内含此文章算法代码( including a English paper and its simulition code)