Kalman

介绍windows程序运行原理，讲述详细，涉及到windows运行的基本流程，让读者可以总体把握，比较适合初学者阅读使用。(Introduction windows program operating principle, tells in detail, the basic process involves running windows so that the reader can grasp the whole, more suitable for beginners to read to use.)

基于 嵌 入式系 统 理 论和 容 错系 统 体系 结 构， 结 合故障 一 安 全电 路的 设计 理念， 给出 了 一 种 嵌 入式 二乘 二 取 二容 错计算 机 联锁系 统的 硬件 设计. 深 入阐 述了 系 统 硬件电 路的 设计理论依据和工 作原 理， 同 时 给出了 设计中 的 元 件选型. 通过功能 测试， 系 统设计符 合故障 一 安全的 设计原则， 理论 计 算 表明， 其可 靠 性、 安全 性 达 到 铁 路 信号系 统 要求(Based on the theory of embedded systems and fault-tolerant system architecture, combining design fail-safe circuitry, gives a socketed Take two squares two-in fault-tolerant computer interlocking system hardware design. Further expounded on system hardware circuit design theory and work Design principles for the principle, and gives the design of the component selection through functional testing, failure of a safety system designed to meet the theoretical Calculations show that the reliability, security, railway signaling system requirements to achieve)

LTE的详细讲解，对于OFDM等进行了讲解，对于LTE初学者有很大的帮助。(LTE detailed explanations, for OFDM, etc. were explained, the LTE is very helpful for beginners.)

该程序可以用于产生LFM信号，并输出在理想和加噪情况下分别经过匹配滤波器后的结果。(The program can be used to generate LFM signal, and outputs the noise in the ideal case and processing each of the results after the matched filter.)

Vega相关资料，网上搜集并整理的，希望对初学者有所帮助。(Vega-related information, online collection and sorting, and want to help beginners.)

基于粗糙熵和K-均值聚类算法的图像分割 (Based on Rough Entropy and K-means clustering algorithm for image segmentation)

利用matlab求解系列商用车的操纵稳定性，其结果收敛性良好。(Using matlab to solve a series of commercial vehicle handling and stability, the result of good convergence.)

说明：  太阳黑子的时间序列用最小二乘法模型定阶的C语言程序(Sunspot time series model using the least square method to determine the order of the C language program)

IFFT 基于matlab实现，可用于OFDM前导训练序列的生成(IFFT OFDM preamble training sequence can be used to generate based on matlab implementation)

这是一个基于DTW的语音识别算法，由matlab实现，相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)