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4下载：
OFDM系统中ZF均衡和MMSE均衡算法源码-OFDM system ZF equalization and MMSE equalization algorithm source code
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Cohen-Southerland线段裁剪算法的Matlab程序-Cohen-Southerland Line Clipping Algorithm in Matlab procedures
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基于divide and conquer策略的Sutherland-Hodgeman多边形裁剪算法的Matlab程序-Divide and conquer strategy based on the Sutherland-Hodgeman polygon clipping algorithm of Matlab procedures
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2下载：
音频保留法降低OFDM信号的峰均功率比，其中使用CLIPPING方法寻找峰值消除信号。-tone reservation for papr reduction of ofdm signals.
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ofdm中的PAPR问题的CLIPPING方案的BER-ofdm in the PAPR problem CLIPPING program BER
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Matlab code of Tone Reservation Via Clipping.
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This M Code simulate the effects of clipping and filtering on PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel
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this clipping code for papr reduction in matlab.In this code clipping is fillowed by filtering to reduce inband interference.Simulated results are in the form of graphs to compare performance-this is clipping code for papr reduction in matlab.In this
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Write MATLAB code that will do the following.
(a) Image resizing into sizes 2X, 5X, 10X, 0.1X, 0.25X.
(b) Image rotation with and without clipping in angles 100, 600, 900, 1100, 1500
(c) Image flipping in x and y axis.
(d) Image zooming.
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分别取长度N=160和N’=N+K的矩形窗函数作用于语音信号上，首先对其进行中心削
波，比较削波前和削波后语音信号波形，并使得削波后的信号进行乘积并求和，计算延迟为0<K<160时的相关值，并且用得到的相关值来检测语音信号的基音周期，用MATLAB画出图形。
-Length N = 160 were taken and N = N+ K rectangular window function in the role of the speech signal, the f
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Matlab code which implements MB-OFDM transmission block as per ECMA 368 standard.
OFDM over frequency selective wireless channels
simulation code for Peak-to-Average Power Ratio (PAPR) reduction in MIMO OFDM/A system using CMA
This is an OFDM s
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这是一篇论文，将的是利用自相关函数及三电平削波方法实现周期语音信号基频提取算法及语句(In this paper, the method autocorrelation function and three-level clipping are used to extract the fundamental frequency of periodic speech signal)
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采用基于梯度的算法，通过matlab实现高动态范围成像。高动态范围图像，相比普通的图像，可以提供更多的动态范围和图像细节，根据不同的曝光时间的低动态范围图像，利用每个曝光时间相对应最佳细节的低动态范围图像来合成最终高动态范围图像，能够更好的反映人真实环境中的视觉效果。这里采用的高斯模糊展示了高动态范围图像中超出取值范围的数值也是有用的，即使它们在转换成低动态范围图像的时候通常都要被裁掉。在原始的高动态范围图像中，这些像素都有非常大的亮度值。当图像模糊的时候，周围的像素亮度被“拉高”并且在色度映射
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