FEM

16QAM +AWGN added+BER(16QAM+AWGN added+BER)

matlab的小波边缘提取函数，多层提取，运行后，效果不错，(wavelet edge detection function)

AWGN信道环境下，信道编码的性能分析（包括误码率BER和开销即运行时间），运用了Hamming Code Golay Code Circle Code and Converlute Code(channel encode including Hamming Code Golay Code Circle Code and Converlute Code in AWGN channel)

说明：  最小二乘法的matlab程序，以此来进行最小二乘法的仿真。(Least squares matlab program, the least square method in order to carry out the simulation.)

此为非数据辅助的频偏估计算法的MATLAB仿真(data supporting this non- Offset Estimation Algorithm MATLAB)

免疫算法，可以实现过程优化，计算快捷，简单方便。功能强大(Algorithm, can achieve process optimization, computational fast, simple and convenient. Powerful)

energy management in smart grid

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

这是一个matlab图像运算包，多幅图像的数学运算，包括图像的代数运算、图像的逻辑运算、图像的块和邻域操作、图像几何运算等(This is a matlab image computing package, multiple images of mathematics, including algebra images, images of logical operations, the image of the block and neighborhood operations such as geometric operations)

How to solve PDEs (Partial Differential Equations) in Matlab using analytical and numerical methods.