chap_5

利用BP神经网络与RBF（径向基函数）网络对三类目标（W.zip, T.zip, B.zip）进行分类.(BP neural network and RBF (Radial Basis Function) network on three targets (W.zip, T.zip, B.zip) classification.)

相关分析过程的matlab方法，通过反复训练模板能有较高的识别率，IDW距离反比加权方法，使用混沌与分形分析的例程，均值便宜跟踪的示例，进行波形数据分析,基于chebyshev的水声信号分析。( Correlation analysis process matlab method, Through repeated training yqyQVtxlate have higher recognition rate, IDW inverse distance weighting method, Use Chaos and fractal analysis routines, Example tracking mean cheap, Waveform data analysis, Based chebyshev underwater acoustic signal analysis.)

匹配滤波的实际仿真程序。分别对宽带和窄带信号进行了仿真，并且求的滤波后信号的信噪比。(Matched filtering of the actual simulation program. Separately for broadband and narrowband signals, simulation, and after filtering for signal-noise ratio.)

小数据量计算利亚普诺夫指数(Liapunov index of small amount of data calculation)

matlab图像处理实例详解——数字图像的运算(matlab image processing example explanation- digital image computing)

说明：  word里面是粒子群算法的Pareto多目标函数优化的程序(Pareto multi-objective function optimization based on particle swarm optimization)

基于matlab的DSP（数字信号处理）学习资料(Matlab based on the DSP (digital signal processing) study data)

useful resources in matlab

自己编写的kalman滤波例子，实现对X,y坐标跟踪的例子，欢迎大家参考提意见(themselves prepared Kalman filtering example, the realization of X, y coordinates tracking example, Welcome reference comment)

设计音频降噪算法，并用MATLAB仿真实现。 1）读入一段音频后添加噪声，必须包括两种不同的噪声，信噪比：0dB~10dB； 2）分别采用滑动平均滤波器，直接频域滤波，以及谱分析后设计滤波器滤波三种方法实现，并对比效果。 3）给出各种方案的设计依据、代码、频响曲线，以及输入输出对比图。(Audio noise reduction algorithm design, and use MATLAB Simulation. 1) Read after adding noise into an audio, it must include two different kinds of noise, SNR: 0dB ~ 10dB 2) respectively moving average filter directly in the frequency domain filtering, and the filter is designed to achieve three methods filter after spectral analysis and contrast. 3) Give the design basis, code, frequency response curve, and input and output comparison chart of the various programs.)