chirp

Designing Broadband Matching Networks (Part 2: Amplifier)

matlab在概率论中应用书籍，提供了30个例子，对概率论专业的学生有帮助(matlab，probability theory)

利用最小二乘法进行拟合多元非线性方程，微分方程组数值解方法，最小均方误差等算法的MSE的计算。( Multivariate least squares fitting method of nonlinear equations, Numerical solution of differential equations method, Minimum mean square error MSE calculation algorithm.)

％ because we do not truncate and shift the convolved input ％ sequence, the delay of the desired output sequence wrt ％ the convolved input sequence need only be the delay ％ introduced by the ideal weight vector centred at n=5( Because we do not truncate and shift the convolved input sequence, the delay of the desired output sequence wrt the convolved input sequence need only be the delay introduced by the ideal weight vector centred at n = 5)

这是一份有关matlab中文教材程序代码，希望通过此文件可以使大家更好的学习matlab。(This is a Chinese teaching materials about matlab code, hope that through this file can make everyone better learning matlab)

This is the best program for spectrogram

PN_GEN: This is a matlab function generates the Pseudo Noise sequnece of length (N)according to Generation Polynom and input state. Inputs: G - Generation Polynom, Zin - Initial state of Shift register N - The length of PN sequence Outputs: y - The resulting PN sequence Z - The output state of Shift register

一个车牌识别程序的word文档，文档有注释的matlab程序(A license plate recognition program word document, the document annotated matlab program)

第一个是标准差，用于算数学模型均值，评价模型的平均量 第二个熵，用于评价信息量的大小，熵越大信息量越大。 第三个用于pcnn模型,评价是否接近理论模型,残差越小，就越接近理论模型(The first is the standard deviation, the mathematical model is used to calculate the mean, the average amount of uation model. The second entropy, to uate the size of the amount of information, the greater the entropy the greater the amount of information. The third for PCNN model, uation is close to the theoretical model, residual error is smaller, the more close to the theoretical model)

说明：  实现分段函数的图形绘制，包括三角函数，直线等。对于初学者有一定的引导作用。(To achieve sub-function graphics rendering, including trigonometric functions, linear, etc.. For beginners there is a certain guide.)