yuyinxuebo

这个包中包含学习最小均方滤波的一个例子及其和其它滤波方法的一些比较。(This package contains the learning of least mean square with an example. And it compared least mean square method with other filtering methods.)

对初学者适合的matlab命令集学习，还是很不错的，查找语句时有帮助(Right of the matlab command set suitable for beginners to learn, still very good, to find statements from time to time to help)

一种产生M序列的代码程序。基于MATLAB编程(That produces the M-sequence code procedures. Based on MATLAB Programming)

Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer.

students learning code for practice

orthogonal variable spreading factor (OVSF) is an implementation of Code division multiple access (CDMA) where before each signal is transmitted, the spectrum is spread through the use of a user s code. User s codes are carefully chosen to be mutually orthogonal to each other. These codes are derived from an OVSF code tree, and each user is given a different, unique code. An OVSF code tree is a complete binary tree that reflects the construction of Hadamard matrices.

说明：  GDOP(Geometric Dilution of Precision) 几何精度因子是衡量一个定位系统精度的重要标准之一。 运行程序sGDOP.m可得到三站GDOP仿真结果，更改程序中s_x,y,z可以更改阵列的几何排列。运行程序fGDOP.m得到四站GDOP仿真结果。(GDOP (geometric division of precision) geometric accuracy factor is one of the important standards to measure the accuracy of a positioning system. Running the program sgdop. m, we can get the simulation results of three stations GDOP, and changing the geometry of the array by changing the program s _ x, y,z. Running the program fgdop.m, the simulation results of four stations GDOP are obtained.)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

OFDM-MIMO收发系统，The simulator GUI is started with command ui_start in Matlab command window.-,matlab,通讯编程/Communication(OFDM-MIMO transceiver system, The simulator, GUI is started with command ui_st art in Matlab command window .-, Matlab, Communication Programming/Communication)

包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression)