warp-kmeans

SPWM产生器，带有谐波分析等功能，精度高，功能全(SPWM generator with harmonic analysis function, high accuracy, the functional)

信号空间分集ssd的误码率分析，m语言实现，最大似然译码。(Ssd signal space diversity analysis of bit error rate, m language, maximum-likelihood decoding.)

IEEE 802.11ac 协议草案2012年5月版本。正式版本大概是2014年初才能确定。(IEEE 802.11ac draft version of the agreement in May 2012.)

说明：  GENE算法的应用，分割相关的肝脏图。用遗传算法找到最优阈值，然后选择canny算子(the application of GENE algorithm in matlab)

基于LMS和RLS的自适应滤波仿真与分析,内含详细说明(Based on LMS and RLS adaptive filtering simulation and analysis, containing detailed description of)

this code can rotate matixes and find the rotation angles

not so good BPSK software matlab

Custom tools for MATLAB supporting analysis and design of nonlinear control systems are introduced in this paper. The paper demonstrates their use to solve sample nonlinear control problems and presents some of the MATLAB algorithms involved

一束5W 的线偏振光以Φ = 45 度方位角振动，垂直入射到玻璃 - 空气表面，该光束波长0.6μm，玻璃介质折射率1.54 @0.6m，当入射角θ从0-70 度变化时，通过给定条件，分别完成如下要求： 画出该光束反射光的光强曲线（I-θ）； 分析该反射光束的偏振态变化，画出偏振方向变化曲线（φ-θ）和偏振光束相位变化曲线 （Φ-θ）。 （注：光束从光密到光疏的界面，在入射角θ 从0-70 度变化中，包括了临界角θc）(Bunch of linearly polarized light 5W to Φ = 45 degrees azimuth vibration, normal incidence to the glass- air surface, the beam wavelength 0.6μm, glass refractive index 1.54 @ 0.6m, when the incident angle θ changes from 0-70 degrees By the given conditions, namely the completion of the following requirements: Draw the reflected light beam intensity curve (I-θ) analysis of changes in the polarization state of the reflected beam, draw the polarization direction of the curve (φ-θ) and polarized beam phase curve (Φ-θ). (Note: the light beam from the optical density of the interface is sparse, the incident angle θ  variation from 0-70, including the critical angle θc))

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )