6

说明：  用于计算Delta机器人在三维空间中的工作区域(Calculating the Working Area of Delta Robot in Three-Dimensional Space)

该算法详细仿真了EKF、UKF以及PF三种方法，进行了对比，只需简单的调整参数就可以观察在不同条件下的滤波效果。(The algorithm detailed simulation of the EKF, UKF and PF three methods were compared, a simple adjustment of parameters can be observed under different conditions of the filtering effect.)

jpeg的matlab代码 (jpeg of the matlab code)

计算最速下降法和黄金分割法的程序，计算结果精确。(Calculation of the steepest descent method and the golden section method of procedure, precise results.)

基于Matlab的移动通信中多径衰落信道的仿真(Matlab-based mobile communications in the multipath fading channel simulation)

Neural Networks second edition simon hoykin matlab

qpsk调制解调 脉冲成型 信道噪声 抽样 检波(qpsk modem pulse shaping)

说明：  BP神经网络的语音特征信号分类算法，采用归一化算法及变学习率学习算法(BP neural network speech characteristic signal classification algorithm, using a normalization algorithm and the learning algorithm learning rate change)

svpwm file with control unit file can be executed in matlab for space vectir pwm

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)