Mersad_LPR

经典的功率谱估计，平均周期图法实现，已经加上了详细的注释(Classical power spectrum estimation, the average periodogram implementation, has added a detailed comment)

MAtLab PLOTTING: A SIMPLE EXAMPL TO SHOW THE EASINNESS OF PLOTTING USING MATLAB AND OCTAVE

The example below encodes one message words using Reed-Solomon encoder. It then corrupts the code by introducing two errors in the codeword, Then BerMass tries to the connection weight vector A and its roots R that it used to know error location.

求解数独的小程序 其中采用了图形界面，对初学者可以参考图形界面的编写方法。 求解数独算法比较简单，但是其中注释很少 (A small program to solve Sudoku Which uses a graphical interface, a graphical interface for beginners can refer to the preparation method. Sudoku solving algorithm is relatively simple, but very few comments which)

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

对leach协议的改进，改变产生簇头的方式，距离bs越近，成为簇头的概率就越大。(Improvement on the leach protocol to change the way the cluster head generated from the bs the more recent, as the greater the probability of cluster head.)

信号去噪的基本步骤： （1）信号的小波分解； （2）小波分解高频系数的阈值量化； （3）信号的小波重构。使用分解的低频系数以及阈值量化后的高频系数进行小波重构。 (The basic steps of signal denoising:( 1) of the wavelet decomposition of signals ( 2) the high frequency coefficients of wavelet decomposition threshold quantization ( 3) the signal wavelet reconstruction. Using the decomposition of the low frequency coefficient and threshold quantization the high-frequency coefficient after wavelet reconstruction.)

a radial basis function network is an artificial neural network that uses radial basis functions as activation functions.

语音处理工具箱，用于matlab环境下，Mike Brookes编写，用于压缩和识别(Speech processing toolbox for matlab environment, Mike Brookes prepared for compression and recognition)

详细介绍超宽带无线电的各个模块和MATLAB实现(Details of the various ultra-wideband radio modules and MATLAB to achieve)