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最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )

基于matlab/Simulink的动态仿真与控制的学习资料，有多章的相关学习内容。(Dynamic simulation and control matlab/Simulink learning materials, a number of chapters related learning content.)

针对带有时变时滞和时滞非线性耦合系统的,时滞范围相关混沌同步方法(delay-range-dependent chaos synchronization appproach under varying tiime-lags and delays nonlinear coupling)

说明：  这里面包括近百个matlab常用函数的例程，是学习matlab的好帮手。(This includes nearly one hundred matlab routines of commonly used functions, a good helper to learn matlab.)

a face detection algorithm based on template matching

说明：  OFDM自适应算法对比，将chow算法 hudges算法 fisher算法的各种信道条件统一化进行对比其优劣，可在其中修改初始条件以观察其在不同信道条件下的算法优劣(OFDM adaptive algorithm compared to chow fisher algorithm algorithm algorithm hudges various channel conditions to compare the pros and cons of harmonization, which modify the initial conditions in order to observe channel conditions in different advantages and disadvantages of the algorithms under)

m.file match algorithm for image processing applications

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DVT + DSTATCOM MODEL USING SIMULINK

此代码仿真了一个语音输入输出系统，语音信号经过AD转换后，经过DSSS调制解调后，通过DA转换还原输入的声音，每一步的的波形都可以观测，对实际DSSS系统设计有很大的参考价值(This code simulation of a voice input and output systems, speech signal after AD conversion after DSSS modem through DA conversion to restore the input voice, each step of the waveform can be observed, the actual design of DSSS systems have great reference value)