Form1.cs是應(yīng)用聚類算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通過兩個(gè)參數(shù)EPS和MinPts調(diào)節(jié)聚類。
DBSCAN.cs是實(shí)現(xiàn)文件，聚類算法的進(jìn)一步信息請(qǐng)參考“數(shù)據(jù)挖掘”或者相關(guān)書籍
聚類示例數(shù)據(jù)來自于sxdb.mdb，一個(gè)Access數(shù)據(jù)庫(kù)
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
