MLNB

目前公认最好的神经网络工具箱，学习性能非常好，是机器学习及人工智能，自动控制，拟合，回归预测的好工具(Currently accepted best neural network toolbox, learning performance was very good machine learning and artificial intelligence, automatic control, fit, return a good tool for forecasting)

为提高常规MUSIC算法的分辨率，仿真了求根MUSIC算法。注释详细，适合初学者(In order to improve the resolution of conventional MUSIC algorithm, simulated Root MUSIC algorithm. Detailed notes, suitable for beginners)

本文介绍了使用MATLAB编写时间序列的方法，本文介绍了使用MATLAB编写时间序列的方法，(This article describes the preparation of time series using the MATLAB method of preparation of this article describes the use of MATLAB time series methods)

ostu算法实现的红外目标提取，打包文件中含有完整的matlab程序实现，还有运行图片(ostu infrared target extraction algorithm, the archive file contains the complete matlab program implementation, as well as running pictures)

武汉大学遥感信息工程学院MATLAB期末的大作业，对遥感影像进行处理并且进行统计求方差平均数，并绘制图像(Great job of Remote Sensing Information Engineering, Wuhan University MATLAB end of remote sensing image processing and statistical variance of the average demand and draw the image)

Syplify经典英文教程。内含众多实验例程，Lab 1 Basic Synplify Run；Lab 2 Analyzing Critical Path and Assigning Timing；Lab 3 FSM (Finite State Machine) Compiler Constraints and Attributes(Syplify classic English tutorial. Contains numerous experiments routine, you can help learners to quickly grasp Syplify tips, is a rare foreign experiments tutorial.)

利用FFT方法和维纳-辛钦定理自相关函数获得功率谱的对比。(Using FFT method and Wiener- Khintchine theorem to obtain the autocorrelation function of the power spectrum contrast.)

三次样条插值的源程序，程序稍稍长了点 希望大家能用到(cubic spline interpolation of the source, procedures slight hope everyone can wait to)

这是一个优化IIR滤波器的源码,能设计出8个极点8个零点的IIR优化滤波器(This is a source optimized IIR filter can be designed eight against eight pole optimization of IIR filter)

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)