tspopf4.1_w32

to calculate mean varian for audio app

Filtering and system identification are powerful techniques for building models of complex systems in communications, signal processing, control, and other engineering disciplines.

股票数据爬虫，matlab版本，与网上同一类型的区别在于，能够直接运行，有一定的借鉴意义。(Stock data crawler, matlab version, with the same type of difference between online, can run directly, have certain reference significance.)

基于Matlab的循环码的编码与译码，内附源码的详细注释及其编译码的过程(Matlab code based on the cycle of encoding and decoding, containing detailed notes and source coding and decoding process)

最小二乘窄带干扰消除。有用信号是一个点状目标，产生窄带干扰采样，产生高斯白噪声，设计一个M=100个系数的单步(D=1)线性预测器，再用得到的线性预测器来消除图中被干扰的信号x(n)中的噪声。(Least Squares narrowband interference cancellation. The useful signal is a target point, narrow-band interference is sampled Gaussian white noise, the design of a M = 100 coefficients in a single step (D = 1) linear predictor, then the obtained linear prediction filter to eliminate the interference graph the signal x (n) the noise.)

详细介绍了拉盖尔自适应滤波器的实现过程和仿真。(Laguerre adaptive filter implementation process and simulation.)

读语音数据,数据放入了X,fs代表采样率，bit代表采样位数(Read voice data, the data is placed in the X-fs representative sample rate, bit representative sample median)

根据三次B样条公式，算出样条曲线，并取样，把三维坐标写进txt，再用matlab绘制三维三次B样条曲线(According to the cubic B-spline formula, calculate the spline curve, and sample, the three-dimensional coordinates into the txt, and then draw three-dimensional cubic B-spline curve)

模型跟踪 例题可以看看看 模型参考自适应控制本书从MATLAB仿真及可视化仿真的角度出发,系统地介绍了系统辨识与自适应控制的... ●第3章为模型参考自适应控制,(Model following examples can look at the book to see the model reference adaptive control MATLAB simulation and visual simulation point of view, the system introduces the system identification and adaptive control ... ● Chapter 3 for model reference adaptive control,)

用于进行声压转换的matlab文件，声压数据来源于ansys软件的计算后导出来的。(Used for sound pressure to convert matlab file, sound pressure data from the calculation software ansys guide out.)