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matlab 2010 latest updated software

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

THIS is the program for a law companding...

一种声音合成的算法研究，可用Matlab方法验证(A sound synthesis algorithm used Matlab method validation)

针对五单元圆型天线阵干涉仪测向系统，分别对等基线和不等基线的结构和相位模糊进行了分析；通过对多基线测量数据的加权处理提高测向精度，提出了权系数的选择方法和测向信号处理算法，其中包括相位差估计、角度变换、解模糊和接收通道误差校正等；计算机仿真结果表明两种结构基线的测向精度非常接近，在全方位、超短波频段内的最大测向误差小于0.10。(eee)

QPSK modulation using a prbs data input

说明：  一种基于JAKE模型的改进的瑞利衰落信道仿真(A model of the Rayleigh fading channel simulation)

结合30个案例详细介绍了matlab神经网络的原理及应用(Principle and application details matlab neural network combined with 30 cases)

遮挡因子及角闪烁模型 输入：时延tau，脉冲重复周期tr，脉宽tp 输出：遮挡因子F(Occlusion factor and angle scintillation model input: the delay tau, the pulse repetition period tr, pulse width tp output: occlusion factor F)

对块匹配中的全局搜索进行改进，只用搜索整幅图像的一半像素，与全局搜索（FS）相比，精度没有降低而时间减少了一半。(improved from full search, the matching time-consuming is nearly half of FS, but the matching accuracy is not reduced.)