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非线性生成学习模型源码 MATLAB有DEMO，通俗易懂，移植性较好(err)

很多mtalab关于数据分析的源代码，欢迎各位童鞋下载(Many mtalab data analysis on the source code, to welcome you to download children s shoes)

OFDM信号瑞利衰落信道的matlab仿真代码，,包括一个word文档和仿真程序。(OFDM signals in Rayleigh fading channel simulation matlab code, including a word document and simulation program.)

TFIDF计算方法详细解释，代码解释很多，也有帮助文档(TFIDF calculation method explained in detail, explain a lot of code, but also help documentation)

空间目标识别，采用PM算法，是国外的成品模型，数值分析的EULER法。( Space target recognition algorithm using PM, Foreign model is finished, EULER numerical analysis method.)

An easy implementation of the classic philosopher s dinner.

丁星版《MATLAB杆系结构分析》内容全面详尽，涉及了平面刚架及空间刚架的静力分析和动力分析。随书光盘中附有书中涉及的所有Matlab源程序和例题。本代码为光盘源码。(D Star Edition "MATLAB analysis of truss structures" comprehensive and detailed, involving a plane frame and space frame analysis of the static and dynamic analysis. CD-ROM with the book to all involved with the book and Matlab source code examples. The source code for the disc. )

基于卷积编码的MPSK系统性能仿真，利用MATLAB对MPSK系统进行了仿真，分析了系统性能(MPSK convolution coding system based on performance simulation using MATLAB for MPSK system simulation, analysis of system performance)

米波雷达低仰角DOA估计及阵列通道误差校正 (VHF radar and an array of low-elevation DOA estimation error correction channel)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)