QAM128_DP_trans_detail

说明：  根据张贤达版《现代信号处理》中几种经典的自适应滤波器算法，包括LMS, NLMS, RLS, Kalman, 解相关LMS, 以及相互进行对比，并画出对比图(Adaptive filter, LMS, NLMS, RLS, Kalman, etc.)

matlab高斯消去法，帮助解决方程求解问题基础方法(Matlab gaussian elimination)

IConDate

通过粒子群算法对理想滤波器进行设计，估计出滤波器的参数。(to design a filter based on particle swarm algorithm.)

魔兽世界模型观察器 魔兽世界模型察看器4.8e(含源码) [9M](World of Warcraft World of Warcraft model viewer Model View browser 4.8e (with source) [9M])

说明：  集成的代码，可以用各种基础分类器集成，随机抽样本和随机抽特征，或者对样本或特征加权集成(The integrated code can be integrated with various basic classifiers, random samples and random features, or weighted samples or features.)

USART-ATMEGA16A.rar是ATMEGA16的升级版本ATMEGA16A的串口的使用介绍，包括硬件设置和源代码-USART-ATMEGA16A.rar upgrade is the ATMEGA16 serial ATMEGA16A use, including hardware setup and source code

该程序是基于STM32外部触发计数器的测频程序代码，可以测量的范围是0-100MHZ误差1 不到。(The program is based on the STM32 external trigger counter frequency measurement program code, can be measured in the range of 0-100MHZ error of less than 1 .)

微软资深讲师 的关于IE浏览器安全保护的视频讲座-Microsoft senior lecturer in the IE browser on the safety and protection of video lectures

说明：  Noguchi, Hiroshi & Mori, Taketoshi & Sato, Tomomasa. (2011). Human daily behavior accumulation in real home environment via distributed sensors in a long term. This paper reports the case study about long-term sensor data accumulation of natural human behavior in a real home environment. Human behavior measurement in long term and in the real environment is difficult because of devices, software and system problems. We rented an apartment and introduced 4 sensor modules (pyroelectric sensor module, proximity sensor module, electric current sensor module and LRF module) into the rooms. The systems for data collection from modules, database system for long-term accumulation and sensor data visualization software for behavior annotation are also developed. We measured the sensor data during 4 years continuously. This data will assist to develop methods for typical behavior extraction, behavior recognition and anomaly behavior detection.