chap10

重采样，轮廓波变换，新型技术……Matlab轮廓波工具箱有用(backsample)

newmark方法求解非线性振动duffing方程(newmark method for solving nonlinear vibration duffing equations)

I have provided the code for watermarking and calculatuin of MSE , PSNr and comparison.

一级倒立摆的pid控制，利用simulink(An inverted pendulum pid control using simulink)

The This snisotropic diffusion tensor filtering package is a free (GPL) MATLAB program that implements the non linear 1D 2D and 3D image and signal processing algorithm. It features an easy-to-use user interface, and a computationally powerful algorithm.

实现了图像的加水印，去噪，加噪声等功能，BP神经网络用于函数拟合与模式识别，LDPC码的完整的编译码。( Realize image watermarking, de-noising, plus noise and other functions, BP neural network function fitting and pattern recognition, Complete codec LDPC code.)

ridgelet 变换源代码,图象处理方面有广泛应用空间- MATLAB source code that implements the finite ridgelet transform in the paper "The finite ridgelet transform for image representation". (Ridgelet transform source code, image processing has wide application space- MATLAB source code that implements the finite ridgelet transform in the paper )

用matlab实现的能分类的神经网络源码(Using matlab implementation of the neural network can be classified source)

基于Matlab中的simulink画一行随机数的频谱(Based on the spectrum of the random number draw a line in Matlab Simulink)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)