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工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)

MATLAB实现功率谱估计的程序最大熵谱法,Brug法和Levinson法。(MATLAB realize the power spectrum estimation procedure for maximum entropy spectral method, Brug law and Levinson Law.)

Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algorithm 4.5 Newton Interpolation Polynomial Algorithm 4.6 Chebyshev Approximation

用matlab实现模糊神经网络，在非线性系统中的应用(Achieved with matlab neural network, nonlinear system)

mainMIMO_OFDMA_2Tx_SER.m: 主程序，设置各种参数 gendata.m: 生成原始信息数据的程序 mod_2Tx_STBC_DFUSC.m：调制程序 gen_SUI_CorrCIR.m: 生成信道冲击响应的程序 get_perfectCE_2x2.m: 生成理想信道估计值的程序 chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序 addAWGN_2x2.m: 添加高斯白噪声的程序 dem_DFUSC_2x2_STBC.m: 接收端解调主程序 ls_freq.m: 频域LS算法 ls_time_2x2.m: 时域LS算法 ML_decision.m: Alamouti最大似然检测算法">

Transformada discreta de Fourier

灰色预测模型在Matlab的语言编程(基于GM（1，1）模型)(GM（1，1）)

This example application shows you how to use Real-Time Workshop Embedded Coder to target a dual core Blackfin microprocessor. The complete build is managed by a template makefile and control over the memory regions is provided by custom storage classes. The example imposes a top level architecture on the model to define the split of model code between the two cores. This document describes a complete run-through of the model from Simulink simulation to code simulation using VisualDSP. I think it will take about 1 hour to go through the example once you have VisualDSP installed.

说明：  matlab的学习ppt，浅显易懂，使用方便，编程的时候查阅非常有用。(learning matlab ppt, easy to understand, easy to use, when the inspection program is very useful.)

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