proficient-in-matlab

the file explains How to use matlab

该程序完成一个16电平PAM数字通信系统的仿真，并测量了它的误码率。首先产生信息符号序列，该序列被当做4个信息比特一组，将16组符号映射到16个信息幅度。检测器计算距离，输出与真正传输的信息符号序列作比较，然后将差错计数。( This procedure completes a 16 level PAM digital communication system s simulation, and has surveyed its error rate. First has the message digit sequence, this sequence is treated as a 4 information bit group, maps 16 class symbols to 16 information scopes. The detector estimated range, the output and the true transmission s message digit sequence does compares, then counts the mistake. )

改进的matlab导航算法文件，实现更搞笑的导航解算(improved matlab navigation algorithm, more effecient navigation computation is implemented)

说明：  用于根据 三维 数据 点 计算平面度 的 matlab 程序。(According to data points for three-dimensional flatness of matlab calculation procedures.)

Image Enhancement. Takes lenna image as input, applies low pass filter, median filter, weighted and center weighted median filter. Plots the output for each image

实验指导　低通采样定理实验 FFT频谱分析实验 IIR滤波器设计实验 窗函数法FIR滤波器设计 频率采样法FIR滤波器设计实验(Experimental guide low-pass sampling theorem FFT spectrum analysis experiment experiment experiment IIR Filter Design Window Function FIR filter design frequency sampling FIR filter design experiment)

说明：  QASK的实现。用matlab程序 通信调制基础(QASK implementation. Modulation based communication program with matlab)

说明：  Matlab中的fft分析含噪声的信号，其中有直接FFT，时域同步平均后FFT，频域同步平均后FFT(Matlab s fft analysis with noise signals, which have a direct FFT, time-domain synchronous average, after the FFT, frequency domain synchronization for after averaging FFT)

是matlab写的求解哈夫曼编码的程序。(is written in Matlab for Huffman coding procedures.)

该程序实现多特征自适应阈值算法，两个matlab文件，一个为函数，该函数求出信号的特征量值并通过梯度下降法训练出其初始阈值，另一个为主函数，调用该函数文件；该程序将4路信号，每一路信号的特征量值及其自适应阈值求出来，并一起画出图来。(The program features multi-adaptive threshold algorithm, two matlab files, one for the function,the function seek out characteristics value and initial threshold value of the signal by gradient descent , the other main function, called the function file the program seek out four signals , characteristics of each road and the adaptive threshold value,then draw them together on the map.)