Description: 频域不同导频密度的信道估计在被研究，并且在高低时延信道其信道估计被固定了导频分配时域。频域信道估计是基于插补，多项式的广义线性模型（或最小二乘法）和维纳滤波（或线性最小均方误差法）的方法。时域的信道估计是用线性插补完成的。我们通过测量在基于克拉克散射模型的瑞利衰落信道上并带有QPSK调制的粗误码率，已经比较了所有这些方案的结果。-Different pilot density in frequency domain channel estimate to research, and its high and low delay channel estimation channel was fixed allocation of time-domain pilot. Frequency domain channel estimation is based on interpolation, polynomial generalized linear model (or least squares) and the Wiener filter (or linear minimum mean square error method) method. Time domain channel estimation is done using linear interpolation. We are by measuring the scattering model based on Clark and Rayleigh fading channels with QPSK modulation bit error rate of crude, has compared the results of all these programs. Platform: |
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Author:雨儿 |
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Description: 通过使用插值计算的方式，计算金融波动过程的维纳现象。-Calculated by using the interpolation method to calculate the Wiener process, the phenomenon of financial volatility. Platform: |
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Author:keke |
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Description: 有源码，适合学习C++的人
一、 读入一幅灰度图象，编写程序显示图象中任一象素点的灰度值。
二、 编程实现RGB彩色空间到HSV彩色空间的转换，并通过调整H、S、V的值实现图像亮度、色度和色饱和度的调节。
三、 1.灰度线性变换、分段线性变换
2.灰度直方图均衡、规格化
3.图象卷积：各种模板实现低通、高通滤波
4.图象中值滤波、最大值滤波、最小值滤波、模板选择滤波
5.伪彩色图象增强
四、 1.图象的加、减、乘、除和逻辑运算。
2.图象的镜像变换、图象的缩放（灰度插值）变换
五、 编程实现图象的FFT变换和反变换
六、 用逆滤波方法和维纳滤波方法恢复运动模糊图象（加噪声和不加噪声）
七、 编写程序实现灰度图象的分割：
1、阈值化算法：手动阈值、自动阈值(大津阈值)
2、区域生长
3、区域分裂合并-There is source code for learning C++ people one reads a grayscale image, write a program to display the image in any one pixel gray value. Second, the programming RGB color space to the HSV color space conversion, and by adjusting the H, S, V values achieve adjust image brightness, color and color saturation. Third, 1 gray linear transformation, piecewise linear transformation 2. histogram equalization 3. image normalized convolution: a variety of templates for low pass, high pass filter 4. image median filtering, the maximum filter minimum filtering, template selection pseudo-color image enhancement filter 5. four, plus 1 image, subtract, multiply, divide, and logic operations. 2. The image of image transformation, zoom images (grayscale interpolation) into five, programming image of FFT and inverse transform six, inverse filtering method and Wiener filtering method to restore motion blur image (plus noise and without noise) Seven, programming Grayscale image segmentation: 1, thresho Platform: |
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Author:zl |
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Search - interpolation wiener