fundamentals_of_sensor_network_programming

NLOS identication in ultra-wideband systems based on received signal statistics

说明：  pscad的实验教程，很详细，有很多注意的小细节(the experiment examples for pscademtdc)

Describe: Then a voice feature extraction procedures source, in addition to containing matrix and vector operations, it also includes many voice feature extraction algorithm, including : Formant (formant) extraction

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)

MIMO-OFDM系统空频分组码的研究与实现,2006年清华大学电子工程系硕士学位论文(MIMO-OFDM space-frequency block coding system of the Research and Implementation, Department of Electronic Engineering, Tsinghua University in 2006 a master' s degree thesis)

python datamining python 数据挖掘实战(python datamining Data mining practice useful code in study)

S57国际标准规范,开发电子海图必备的资料(S57 International standards, develop the information necessary for electronic chart)

The silde introduces about digital filter bank- an important concept in contemporary communication. Also, concept of L-band filters or Nyqist filter is introduced here.

用python爬虫抓站的实用技巧，学习python爬虫抓站的实用知识(Practical Skills of Python Crawler Grab Station)

说明：  基于matlab机械故障诊断教程，里面涵盖了很多程序，都可以直接用，还有模式识别，遗传算法、粒子群、支持向量机等，适合研究故障诊断方向使用(Based on the matlab mechanical fault diagnosis tutorial, it covers many programs that can be used directly, as well as pattern recognition, genetic algorithms, particle swarms, support vector machines, etc., suitable for research on fault diagnosis.)