IGES-Standard-Protocol-for-Feature-Recognition-CA

LTE eea3 eia3 zuc等算法的详尽描述，其中包含有实现源码，测试例。均来自标准文档。 (A detailed description of LTE eea3 eia3 zuc algorithm, which includes the source code, test cases. From the standard document.)

将混合有白噪声的两个信号的频率提取出来，适合初学matlab的使用(Will be mixed with white noise, the frequency of two signals is extracted, the use of matlab for beginners)

To encode a binary data using runlength encoding with setting the count buffer to limit to a required datatype size value. If image use reahape to make it to row.

low pass filtering and global communication and wiener filter

Electronic Communication Systems的Matlab源码，对该书的学习很有帮助(Electronic Communication Systems of the Matlab source code of the book very helpful to study)

根据BS公式，通过Mente Carlo模拟对欧式期权进行定价的源码。即使不是做期权定价的，该源码也是一个非常好的理解如何做Mente Carlo模拟的实例。(Based on the Black-Scholes formula, codes for pricing the European options through the Mente Carlo simulation. It is a very good example for your understanding of how to do Mente Carlo simulation, even if you do not engage in the option pricing.)

百分位数绘图程序Percentile drawing program(Percentile drawing program 百分位数绘图程序)

使用SGP模型进行轨道计算的matlab源码 使用两行星历TLE(Simplified perturbations models are a set of five mathematical models (SGP, SGP4, SDP4, SGP8 and SDP8) used to calculate orbital state vectors of satellites and space debris relative to the Earth-centered inertial coordinate system. This set of models is often referred to collectively as SGP4 due to the frequency of use of that model particularly with two-line element sets produced by NORAD and NASA.)

最小二乘法的Matlab参数辨识程序,用于对模型的识别。(Least squares method of Matlab parameter identification program )

Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).(Piled images Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).)