demonregistrationversion8e

贝叶斯决策包含最小风险和最小错误概率两种情况的仿真(Bayesian decision-making included the minimum risk and minimum error probability of the two simulation)

this is a code for analytically showing energy consumption degradation with network coding in wireless sensor networks

说明：  非线性分类，SVM理论为基础，调整参数改变分类（聚类的）边界的松紧程度(Nonlinear classification, SVM theory, adjust the parameters to change the classification (clustering) the degree of elastic boundary)

BPSK调制解调，采用升余弦波形成形，误码性能分析(BPSK modulation and demodulation, the use of raised cosine waveform shaping, error performance analysis)

simulating center location(simulation)

statistical shape model AAM 2D example

simulation of 3_phase rectifier in matlab simulink

HCR protocol in MATLAB

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史，及其程序。(Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.)