matlab-gpc

对与滤波器系数的量化以及对于多抽样率滤波器的仿真(Quantified with the filter coefficients and for the simulation of multirate filter)

这是一个耗时巨长的程序，很费脑筋，所以大家一定要珍惜，希望对大多数人有所帮助，如有问题，可以联系我591805444（QQ）(This is a time-consuming giant long procedures, is very annoying task, so we must cherish, hope to most people help, if there is a problem, can contact my 591805444 (QQ))

Rake Receiver implementation in MATLAB. A DS-CDMA system is used to model the mobile environment.

说明：  好东西 ，是关于离散卡尔曼滤波的。大家看了就知道了(good stuff is on the discrete Kalman filter. We read on to know the)

文字分割 ，进行基本的文字分割，为后继的步骤做工作(Text segmentation, a basic text segmentation, to do work for the subsequent steps)

dsp matlab book for engineering dsp

迭代自组织数据分析，是本科毕设的题目，使用高阶累积量对MPSK信号进行调制识别。( Iterative self-organizing data analysis, The title of the commercial is undergraduate course you Using high-order cumulants of MPSK signal modulation recognition.)

说明：  倒立摆，Inverted Pendulum ，是典型的多变量、高阶次 ，非线性、强耦合、自然不稳定系统。倒立摆系统的稳定控制是控制理论中的典型问题 ，在倒立摆的控制过程中能有效反映控制理论中的许多关键问题 ，如非线性问题、鲁棒性问题、随动问题、镇定、跟踪问题等。因此倒立摆系统作为控制理论教学与科研中典型的物理模型 ，常被用来检验新的控制理论和算法的正确性及其在实际应用中的有效性。从 20 世纪 60 年代开始 ，各国的专家学者对倒立摆系统进行了不懈的研究和探索。(Inverted pendulum is a typical multivariable, high order, nonlinear, strongly coupled and naturally unstable system. The stability control of inverted pendulum system is a typical problem in control theory. Many key problems in control theory can be effectively reflected in the control process of inverted pendulum, such as nonlinear problem, robustness problem, servo problem, stabilization, tracking problem, etc. As a typical physical model in the teaching and research of control theory, inverted pendulum system is often used to test the correctness of new control theory and algorithm and its effectiveness in practical application. Since the 1960s, experts and scholars from all over the world have made unremitting research and Exploration on the inverted pendulum system.)

直扩超宽带的simulink仿真程序，绝对原创。(DS-UWB the simulink simulation program, an absolute original.)

低通滤波器，用Matlab编程实现低通滤波器的功能(Low-pass filter, using Matlab programming function of the low-pass filter)