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- This is the Perlin Noise Function. 这个就是柏林噪声函数。
- Each successive noise function you add is known as an octave. 每个你所叠加的噪声函数就是一个倍频。
- Soft Noise, Hard Noise: The Noise function works with two methods. 软硬噪声:噪声函数以两种方法工作。
- Detail; determines the number of times the noise function will be applied. 细节;确定噪声作用是应用的的次数。
- Feature Size Frequency; determines the amount of "noise grains" to be applied to the map by the noise function. 特征大小频率;确定多少数量"噪声"由噪声功能应用到这张地图。
- To create a Perlin noise function, you will need two things, a Noise Function, and an Interpolation Function. 为了创建一个柏林噪声函数,我们需要两个东西,一个噪声函数和一个插值函数。
- Blurring; sets the number of times the smoothing filter is applied to the noise function. 模糊;设置光滑的过滤器向噪声作用被应用的次数。
- Now that you know all that, it's time to put together all you've learned and create a Perlin Noise function. 既然你知道了全部这些,现在是时候把他们组合在一起了,你将学会并创建一个柏林函数。
- I.e. every time you pass the same number to the noise function, it will respond with the same number. 例如,每次你传入一个相同的数到噪声函数里,它将每次也返回相同的随机数。
- The digital-to-analogue converter of 14 bit (DAC) resolution enlarged dynamic limits and improvement noise function. 14比特的数模转换器(DAC)分辨率扩大了动静规模和改善了噪声机能。
- On the right, you can see a little diagram illustrating the difference between smoothed noise, and the same noise function without smoothing. 在右面(这里看下面),你可以看见一个小的图展示了不同平滑函数的区别,和同样的一个噪声但未进行平滑处理。
- In this paper, a procedural texture mapping method based on Perlin noise function is designed and implemented on an FPGA programmable board. 在FPGA可编程硬件平台上设计实现了基于珀林噪声函数的过程性纹理生成算法。
- Environmental noise functional regionalization of Qujing urban area is studied. 对曲靖市城区进行了环境噪声功能区划分;
- Wavelet decomposition technology has powerful removing noise function,and the preoperative methods based on the wavelet technology is applied for the monitoring data. 从小波分解技术的强大的去噪功能出发,提出了基于小波技术的监测数据前处理方法。
- The Perlin Noise function recreates this by simply adding up noisy functions at a range of different scales. 柏林噪声函数通过直接添加一定范围内,不同比例的噪声函数来重现这种现象。
- Now, you needn't actually write lots of noise functions, one for each octave, as the pseudo code seems to suggest. 当然,你并不需要真的写为每个倍频很多噪声函数,伪代码中好象只是建议这么做。
- A loud noise from the street diverted my attention. 街上一阵喧闹声转移了我的注意力。
- However, you can create Perlin Noise functions with different characteristics by using other frequencies and amplitudes at each step. 尽管如此,你可以通过在每步使用其他的频率和振幅来创建不同特征的柏林噪声函数。
- The noise awoke her from her revery. 这声音把我她从沉思中惊醒。
- That noise is driving me frantic. 那种噪音真要把我弄疯了。