fan_motor

Calculation of diffraction efficiency of sinusoidal grating.

Matlab,Image Processing,including Mean Value Filtering,MidValue Filtering,Laplacian Transformation,Locating Center of Stripes.With GUI Interface

calculating the binaural cross-correlogram of a sound. The toolbox incorporates functions for: signal generation (e.g., bandpass noise, pure tone, complex tone, Huggins pitch) plotting and playing of signals calculation & post-processing of the correlogram frequency or delay weightings calculation of centroid or peak locations.

基于LMS的自适应信道均衡，训练序列采用QPSK信号，从星座图可直观的观察结果(LMS-based adaptive channel equalization, the training sequence using QPSK signal constellation can be observed from the observation)

matlab下偏最小二乘回归模型 交叉有效性验证，及奇异点发现 (matlab partial least-squares regression model of cross-validation, and the singular points found)

说明：  一个完整的OFDM仿真程序，采用QPSK调制，有信道估计，大家交流下！(A complete OFDM simulation program, using QPSK modulation, a channel estimation, to share next!)

这个与上一个是连着的matlab程序，是lorenz.rar的一部分。(This with a connection for the matlab, is part of the lorenz. Rar is.)

v-blast结构的迫零检测 无干扰消除和理想干扰消除对比(v-blast ZF )

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论(Draw the theoretical curve between input SNR and detection probability)

Return mahalanobis distance of two data matrices A and B (row = object, column = feature)