Non-classical-receptive-n

Matlab参考书（word版），分章节，较PDF清晰多了。(Matlab reference (word version), sub-chapters, much clearer than the PDF.)

解决磁滞曲线matlab仿真问题，包含模型建立与分析，程序设计等(Solve the hysteresis curve matlab simulation problems, including model and analysis, program design, etc)

This shows the ask. fsk. psk modulation

demodulator AM using envelope detector

matlab经典绘图案例。包括三维曲面z=x^2+y^2的动画、正弦曲线的动画、切片图、向量图、三维彗星图、三角形网格图、三角形表面图、球面、等值线图、三维瀑布图、三维火柴杆图、三维散点图、柱形图、三维条形图、三维饼图、带形图、曲线图、高斯分布函数的曲面图、高斯分布函数的网格图、5阶高斯分布矩阵、梯度场矢量图、罗盘图、玫瑰花图、羽列图、数据向量的单轴对数坐标图、矩阵的条形图 矩阵的面积图、二维饼图、散点图、误差图、火柴杆图和碗状曲面图等等。 (Drawing matlab classic case. Including three-dimensional surface z = x ^ 2+ y ^ 2 animation, animated sine curve, slices, vector graphics, three-dimensional map comet, triangular grid map, triangular surface plots, spherical, contour, 3D waterfall, three-dimensional grid graph matchstick figure, three-dimensional scatter plot, bar chart, the three-dimensional bar charts, three-dimensional pie charts, strip charts, graphs, surface, Gaussian distribution function, the Gaussian distribution function, fifth-order Gaussian distribution matrix gradient vector field, compass, rose diagram, feather column chart, the data vector uniaxial logarithmic graph, bar graph matrix Area chart matrix, two-dimensional pie charts, scatter plots, error plots, matchstick figure and bowl surface map and so on.)

this file gives the parameters of a model estimated from given data. this is usfull in estimationa and forecasting

一个横向均衡器的MATLAB仿真，采用了自适应算法中的RLS算法(MATLAB simulation of a transverse equalizer, using the adaptive algorithm RLS algorithm)

Matlab和LabVIEW混合编程的实现 (Matlab and LabVIEW programming mixed implementation)

本代码为OFDM的原始MATLAB仿真代码，已通过验证为 好代码(The original MATLAB code for OFDM simulation code has been validated as a good source)

经典的多点法形状复原算法中的2点法的程序。本程序用频域法和积分法2种方法复原了同一形状。数据则由csv文件读入。(classic multi-point method shape the recovery algorithm 2:00 Act procedures. The procedure uses frequency-domain law and integration methods to recover two of the same shape. Data from csv file into.)