tutorial2

点目标线性调频连续波fmcw差频信号仿真(Point target fmcw difference frequency signal simulation)

ber bpsk ofdm rayleigh channel

Shows the frequency spectrum and shows all occuring doh notes in the time domain.

汽车车牌识别matlab程序代码，能够对汽车车牌图片进行识别(car license identification)

矢量算法，计算声源位置。速度比较快，精度很高。(Vector algorithm to calculate the location of a sound source. Relatively fast speed, high precision.)

语音识别matlab源代码，包括预处理、特征提取、训练识别(Speech recognition matlab source code)

这是包含pca和ppca等诸多源程序的工具箱，希望大家喜欢。(This is the PCA and PPCA includes many source code of the toolbox, I hope everyone likes.)

Strapdown inertial navigation system，捷联惯导系统原理，作者：陈哲(Strapdown inertial navigation system, the principle of SINS, Author: Chen Zhe)

用matlab实现smith圆图的基本思路和指导。(Using matlab circle diagram smith realize the basic ideas and guidance.)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)