work

Mie theory code for simulating optical scattering by small particles

In a series of papers in recent years new structures for coherent M-PSK (M-ary Phase Shift Keying) receivers were suggested. These include structures for carrier phase detectors for the carrier PLL (Phase Lock Loop), carrier PLL lock detectors, symbol timing error detectors, symbol synchronization PLL lock detectors, carrier and symbol PLL loop filters, and SNR (Signal to Noise Ratio) estimators

采用matlab对基于CDMA的3径信道的RAKE接收机的性能进行仿真(Use of matlab' s three tracks based on CDMA channel simulation of the performance of RAKE receiver)

DOA（波达方向）估计程序和数据，关于阵列雷达的信号处理的程序，采用的方法为capon、esprit、根music(DOA (DOA) estimation procedures and data on the array radar signal processing procedures, the method used for the capon, esprit, roots music)

求模糊控制器的梯型隶属函数优化后的最小目标值 请大家指教(Ladder for the fuzzy controller membership functions optimized minimum target U.S. advice please)

宽带天线的表面电流，辐射功率和方向图的计算，包含频率扫描(wideband antenna: surface currents,radiation pattern and the calculation of power, including the frequency sweep)

this file implement weighted linear method in pattern recognition

CVX的使用方法 它是一种很有用的MATLAB设计工具(CVX to use it is a very useful design tool MATLAB)

cdma系统的调制解调仿真,及其各信噪比的比较。(cdma a step-by-step method, which makes implementation and debugging much easier.)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)