fwdzigzagfunction

对ofdm系进行了仿真，信号的传输过程和接收过程(simulation of ofdm system ,include signal transmission ,reception)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

这是我自己用MATLAB编写的一个源程序，是保存在WORD里面的，里面有源程序和实验步骤，可以下载下来实验，大家也可以对这个程序进行改进(This is my own written using MATLAB source is saved in WORD inside source and experimental steps, which can be downloaded experiments, we can improve this program)

Stability criteria Nyquist plot in Matlab.

基于MATLAB的fastica算法的实现,有完整源代码。这是一个关于盲源分离独立成分分析方法fastICA的软件包，给大家分享一下，完整的matlab代码。(MATLAB-based fastica algorithm, a complete source code. This is a blind source separation independent component analysis (ICA) of the package, to share with you, complete matlab code.)

说明：  UUV 编队模型，matlab仿真程序。。。(UUV formation model, matlab emulator.)

完整的Kalman Filter、EKF、IEKF、Unscented Kalman Filter及Particle Filter滤波程序。(The complete Kalman Filter, EKF, IEKF, Unscented Kalman Filter and Particle Filter filtering procedure.)

FSK跳频通信系统的扩频通信原理和过程仿真，包括调解，扩频，接扩，解调全过程。对初学者有一定意义(FSK frequency hopping spread spectrum communication system simulation communication principles and processes, including mediation, spreading, then expanded, demodulation entire process. Some significance for beginners)

说明：  相量测量工具的优化配置，相量测量装置的功能，向量测量装置的用途(Optimal pmu Placement)

thie mscript compute formant frequencies via lpc algorithm,formant frequencies are important in speech analysis.