在采样频率为1Hz,数据长度为1000点和信噪比为10dB的条件下,进行PPS信号的DPT迭代检测-the sampling frequency of 1Hz, data length of 1,000 points and 10dB signal-to-noise ratio for the conditions, PPS signal for the detection of DPT iterative 下载
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用fdtd方法 模拟集成光学离子交换中扩散离子浓度的分布 进而求得折射率的分布。更创新性加入了 可变扩散系数 条件(绝对原创), 下载
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常规小波阈值去噪方法是在假定小波系数独立的条件下进行处理的,没有考虑到小 波系数在相邻尺度上的相关性.因此,也同样受到去噪和保留有用高频信息两难的困扰- 下载
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基于小波变换模极大的多尺度图像边缘检测matlab源代码,该算法采用的是样条小波,为了更好的检测边缘,用多孔算法代替了mallat算法。该算法和mallat快速算法主要区别: 1 多孔算法不需要抽取偶数样本,所以奇异检测定位更准确,相应的重构是不需要插零。2 多孔算法需要对滤波器进行伸缩。-based on wavelet transform modulus maxima of multiscale edge detection Matlab source code, The algorithm used is kind of wavelet, in order to better detect the edge of porous algorithm instead of Mallat algorithm. The algorithm and fast algorithm Mallat major difference : an algorithm porous not even take samples So singular position detection more accurate, the corresponding Reconstruction interpolation is not zero. Two porous algorithm need to filter extendable. 下载
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cp0801_pathloss为UWB信道损耗计算函数,利用a=(c/(d^gamma))计算出信道增益,然后对函数的输入信号幅度进行变换得到输出结果。 cp0801_Gnoise1和cp0801_Gnoise2为产生AWGN的函数,分别为Eb/No和Ex/No条件下AWGN的产生-cp0801_pathloss for UWB channel depletion calculation function, use a = (c / (d ^ gamma)) calculated Channel Gain, then the function of the input signal range for transform output. Cp0801_Gnoise1 and AWGN cp0801_Gnoise2 to generate the function, for Eb / No and Ex / No conditions for the selection of AWGN 下载
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我们给出一个模板 和一幅图象 。不难发现原图中左边暗,右边亮,中间存在着一条明显的边界。进行模板操作后的结果如下: 。 可以看出,第3、4列比其他列的灰度值高很多,人眼观察时,就能发现一条很明显的亮边,其它区域都很暗,这样就起到了边沿检测的作用。 为什么会这样呢?仔细看看那个模板就明白了,它的意思是将右邻点的灰度值减左邻点的灰度值作为该点的灰度值。在灰度相近的区域内,这么做的结果使得该点的灰度值接近于0;而在边界附近,灰度值有明显的跳变,这么做的结果使得该点的灰度值很大,这样就出现了上面的结果。 这种模板就是一种边沿检测器,它在数学上的涵义是一种基于梯度的滤波器,又称边沿算子,你没有必要知道梯度的确切涵义,只要有这个概念就可以了。梯度是有方向的,和边沿的方向总是正交(垂直)的,例如,对于上面那幅图象的转置图象,边是水平方向的,我们可以用梯度是垂直方向的模板 检测它的边沿。 例如,一个梯度为45度方向模板 ,可以检测出135度方向的边沿。-we give a template and an image. It is not difficult to find the maximum were left dark, right-liang, in the middle there is a clear boundary. After the template for the operation results are as follows :. Can be seen, three, four out other than the gray value is much higher, eye observation, we can obviously found a bright side. Other regions are dark, and this has played a role in the detection of 2500. Why is this the case? A closer look at the template on which to understand it. It means the right to the point o gray minus left point as a gray value of the point of gray values. In a similar gray area, do so as a result of the point of gray values close to 0; And near the border. gray values jump significantly changed, the results do make the point very gray value, and this appeared to 下载
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干涉仪测向具有精度高、速度快的特点,在无源探测定位系统中具有广泛的应用。传统干涉仪依靠短基线保证无模糊测向范围,依靠长基线保证测向精度,采用整数阶基线比。该方法在宽带应用条件下难以实现,且对天线阵的安装位置非常敏感。本课题研究分数阶干涉仪测向的算法,同时实现宽带、高精度、无模糊的要求,并研究不同分数比、相位测量误差对测向精度的影响,进行仿真验证。 -interferometer is measured to high accuracy and fast, in the passive position detection system has wide application. Rely on traditional interferometer no guarantee short baseline measurement to the scope of fuzzy, relying on long baseline measurement to ensure accuracy, using integer band than the baseline. The method in broadband applications under difficult conditions and the right antenna installation location is very sensitive. The research fractional interferometer to test the algorithm, while achieving wide-band, high-precision, without ambiguity, and different than the scores, phase measurement error to the measurement accuracy of the impact simulation test. 下载
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遗传算法程序 主要程序 ga.m 遗传算法核心程序 BinaryExample.m 二进制编码应用程序 FloatExample.m 浮点编码的应用程序 相关算子及函数 initializega.m 种群初始化函数 simpleXover.m 用于二进制编码的简单交叉算子 arithXover.m 用于浮点编码的算术交叉算子 binaryMutation 用于二进制编码的变异算子 nonMutation.m 用于浮点编码的非均匀变异算子 roulette.m 轮盘选择算子 normGeomSelect.m 标准化几何分布排序选择算子 maxGenTerm.m 以最大进化代数为判别条件的进化终止函数 calcbits.m 计算二进制编码染色体串长度的函数 f2b.m 由浮点表达到二进制表达的转换函数 b2f.m 由二进制表达到浮点表达的转换函数 parse.m 字符串识别函数 delta.m 非均匀变异的变异量计算函数 exampleFn 一个二元函数 startup.m 进行路径设置-Genetic Algorithm main proceedings ga.m GA BinaryExample core program. m binary floating-point applications FloatExample.m coding applications relevant operator and function initializega.m Stocks initialization function for binary series simpleXover.m Codes simple crossover operator arithXover.m for floating-point arithmetic coding crossover operator binaryM utation for binary coding mutation operator nonMutation.m float for the non-coding Uniform mutation operator roulette.m roulette selection operator normGeomSelect.m standards Sort of geometric distribution maxGenTerm.m selection operator algebras with the greatest evolutionary criterion for the evolution of termination calcbits.m calculation function binary coding chromosome length of the string from the floating-point functions f2b.m 下载
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在本问题的求解中,修桥和挖隧道是两个相类似的求解过程,我们将求解过程分为两个部分:第一、对河岸边一固定点 ,将桥修在 处时,求解由起始点 到经固定点 到居民点 的最短路线。第二、如何确定 的位置,使得总路线的费用最小。我们分别用了两个模型来进行这两部分内容的求解。模型一、针对坡度的限制,利用小区域内的局部最优来达到全局最优。模型二、列出点 有一定的位移时,可以减少的费用 的函数方程,然后利用河岸附近等高线较紧密,公路不能沿偏离等高线方向前进的特性,求出减少的费用 的条件极值,从而确定最佳修桥地点 。最后,我们利用模型一、二的原理对隧道部分的公路做了同样的优化设计,然后得出总的修路费用估计为324万元,较合理。最后,我们对整个做法的误差及合理性做了分析。-in solving this problem, building bridges and two tunnels are dug similar to the solution process, we will be solving process is divided into two parts : the first, on the banks of the river a fixed point of the bridge repair in the Department, from the starting point to solve by the fixed point to settlements in the shortest routes. Second, how to determine the location, making the cost of the smallest general line. We were using the two models, both part of the solution. One model, the slope of the restrictions against use of the local small areas to achieve optimum global optimum. Model 2, listing a certain point of displacement, can reduce the cost of the equation, and then using the riverbank near the contours more closely, not along the highway from contour direction of the character 下载
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考虑L的三个不同值:L=256(3个数据段),L=128(7个数据段)和L=64(15个数据段)。各自的谱估计图如上图所示。可以明显的看到,加窗明显的减小了频谱上的假谱峰,但也更加进一步平滑了谱峰。所以,对于L=64的情况,在ω=0.8π的谱线可以很确定的辨认,但是那两个靠近的谱峰不容易区分。对于L=128的情况,这种情况提供了在分离和检测间最好的均衡。当然,对于在L=256时的情况,效果是更好的,能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外,还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等,在功率谱估计上也能取得较好的结果。 -consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power 下载
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