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CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology, including a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C.

matlab创始人moler的matlab书籍的(founder moler the matlab matlab books)

说明：  五点差分型多重网格方法：各种插值算子的比较）(Five-point difference-type multi-grid methods: a variety of interpolation operator of comparison))

初学者学习MATLAB的绝佳教程，全书英文，利于适应英文版本程序(MATLAB is a great tutorial for beginners to learn, the book in English, which will help to adapt to the English version of the program)

FFT分析程序，非常简单，适合对程序不了解的人快速使用(FFT analysis program is very simple and suitable for people who do not understand the program quickly use)

Spectral Efficiency in Large-Scale MIMO-OFDM Systems with Per-Antenna Power Cost

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages(The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages)

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.)

查看星号密码的代码，比较初级，只是发送一个消息，去掉其密码属性。(View an asterisk password code, compare the primary, only to send a message, remove the password attribute.)

在MATLAB环境下的基于分水岭的分割算法，对初学者很有帮助。(Watershed-based segmentation algorithm, useful for beginners in the MATLAB environment.)