Commande_optimal

此程序有利于通信专业人士学习 IS-95标注。其中给出了物理层的仿真。(this program is conducive to communication professionals to learn IS-95 mark. Which is a simulation of the physical layer.)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)

对所采集到的非线性信号进行数据预处理,消除趋势项()

The code is available for direct input image and output image histogram code for reference. Environment: matlab

说明：  噪声射频干扰信号的matlab仿真实现，其中包含成像的提取程序(SAR radio frequency jamming signal)

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量中，估计动态系统的状态。(Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements, the estimated dynamical systems.)

是一个神经网络PID控制例子,控制对象为一个直升机俯仰轴的角度控制,数学模型为二阶传递函数.(Is an example of neural network PID control, control helicopter for a pitch axis angle control, the mathematical model for the second-order transfer function.)

This file include very useful matlab code to CDMA communication

matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较(realize the particle filter matlab source code, and more with some examples and compare the performance of Kalman filter)

the comb pilot aided channel estimation in ofdm modulation is considered. the power of pilot subchannels is under the control. The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.