median_and_mean_filter

用不加权的递推最小二乘法进行参数估计，用于系统辩适、仿真(Using non-weighted recursive least squares parameter estimation method for systems dialectical relevance, simulation)

用Maple和Matlab解决科学计算问题(with Maple and Matlab scientific computation to solve problems)

说明：  关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)

灰色预测的模型，我们用它做过东北三省的数学建模比赛并取得不错的成绩。(The grey prediction model, we use it for the mathematical modeling contest in the three provinces of Northeast China and achieved good results.)

仿真比较4-QAM和4-FSK调制信号在RAYLEIGH衰落信道下的误符号率和误比特率性能(4-QAM and 4-FSK modulation signal simulation comparison in Rayleigh fading channel under the symbol error rate and bit error rate performance)

语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。(speech enhancement algorithms, based on LsA- MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also eliminate the noise.)

matlab处理图像代码，很不错，值得看看(matlab image processing code, very good, worth a look)

共振解调的过程如下：首先对采集到的信号进行傅里叶变换，然后利用传感器自身的谐振频率进行分析，对滤波后的信号进行包络，包络以后去除了高频部分，得到包络信号，再对改进的包络信号进一步进行低通滤波，最后对最终得到的信号进行傅立叶变换求其频谱图。共振解调的原理及其过程可以用图2 来进行表述。(The process of resonance demodulation is as follows: First, Fourier transform is performed on the collected signal, and then the resonance frequency of the sensor is used for analysis. The filtered signal is enveloped, and the high frequency part is removed after enveloping to obtain an envelope. The signal is further subjected to low-pass filtering on the improved envelope signal. Finally, the spectrum of the resulting signal is Fourier-transformed. The principle of resonant demodulation and its process can be expressed in Figure 2.)

matlab中PDE工具箱的帮助文件pde.pdf的例子全部用代码实现,花了我一个月的时间,有限元应用程序(matlab in PDE toolbox pde.pdf Help file with examples of all the code, I spent a month s time, the finite element applications)

backpropagation algortihm for fisher data