fdtd3D wire antenna

实现CDMA系统的RAKE接收,比较最大比合并、等增益合并、、选择合并接收算法的性能，采用3条多径，每条多径之间延迟半个码片，信源输入采用16位WALSH码扩频(Realize RAKE receiver CDMA system to compare maximal-ratio combining, and so gain the merger, and select to receive the combined algorithm, using more than three tracks, each multi-path delay between the half-chip, input source code using 16 WALSH Spread Spectrum)

图像颜色空间转换，包括RGB、YUV、YCbCr等色彩空间分量之间的变换(Image color space conversion, including conversion between RGB, YUV, YCbCr color space component)

GMSK信号的MATLAB编程，包括高斯滤波器的产生和编码(GMSK signals in MATLAB programming, including the generation and coding of Gaussian filter)

MATLAB PROGRAM FOR BISECTION METHOD

通过基2 实现fft变换 可自定义输入变量 带有详细注释(Achieved through the radix-2 fft transform the input variables can be customized with detailed notes)

bpsk性能仿真，误码分析，matlab(bpsk performance simulation, error analysis, matlab)

通过编程得到正交的1egendre(N)函数序列(Orthogonal sequence of Legendre (N) functions obtained by programming)

说明：  用于计算高频下的金属介电常数，主用侧重应用于有限元分析仿真中金属材料的物理属性。(The metal used to calculate the high frequency dielectric constant, the main emphasis used with finite element analysis simulation of the physical properties of metal materials.)

Non-decimated wavelet transform, redundant wavelet transform, stationary ％ wavelet transform(Non-decimated wavelet transform, redundant wavelet transform, stationary wavelet transform)

虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )