本程序實做MLP(Multi-layer perceptron)算法，使用者可以自行設定訓練數據集與測試數據集，將訓練數據集加載，在2、3維下可以顯示其分布狀態，并分別設定鍵節值、學習率、迭代次數來訓練其類神經網絡，最后可觀看辨識率與RMSE（Root Mean squared error）來判別訓練是否可以停止。
標簽： Multi-layer perceptron MLP 程序
上傳時間： 2013-12-24
上傳用戶：caozhizhi
Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square error
標簽： the performances Comparison estimators
上傳時間： 2016-02-01
上傳用戶：hgy9473
Algorithms for the estimation of a channel whose impulse response is characterized by a large number of zero tap coefficients are developed and compared.
標簽： characterized Algorithms estimation response
上傳時間： 2013-12-26
上傳用戶：manking0408
均值漂移算法的詳細介紹，論證均值漂移算法的收斂性，介紹mean-shift算法在圖像分割，目標跟蹤領域的應用
上傳時間： 2016-03-04
上傳用戶：jing911003
The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp or gradual.
標簽： Clustering collection functions Analysis
上傳時間： 2016-03-19
上傳用戶：1427796291
法國cromda編寫的新版本MATRICE 2（矩陣和矢量運算單元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular matrix, except (InvMat and SysLin) // No more need to use the InitMat procedure (suppressed) : // - the routines detect automaticaly the dimensions of matrix and vector // - error code MatDimNul is generated if zero lines or column in matrix and vector (See DimensionMatrice and DimensionVecteur) // - error code MatMauvDim is generated if the dimensions of matrix/vector don t allow valid result // - // The result matrix is dimensioned automaticaly
上傳時間： 2014-01-23
上傳用戶：sy_jiadeyi
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
標簽： CENTRES KMEANS OPTIONS cluster
上傳時間： 2014-01-07
上傳用戶：zhouli
：介紹了一種基于數字信號處理器（DSP）的移相調頻（Phase-Shifted and Frequency-Varied，PSFV）PWM控制 逆變電源，給出了主電路拓撲結構，分析了其控制原理并設計了其控制程序流程圖。新穎的PSFV 控制能夠實現輸出 電壓90％的調整率，輸出電流波動小于單純移相調功PWM方式，并在輕載時保持連續。功率開關器件零電壓零電流 通斷（Zero-Voltage-Zero-Current Switching，ZVZCS）軟開關的實現，有利于進一步提高開關頻率和降低開關損耗。采用 高性能的專用DSP 芯片TMS320F2812 實現了系統的數字控制，滿足了系統控制的靈活性和實時性，減小了系統的 體積和生產成本。仿真分析和實驗結果證明了此控制模式的可行性與合理性。
標簽： Frequency-Varied Phase-Shifted DSP and
上傳時間： 2013-12-04
上傳用戶：kristycreasy
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％
標簽： multidimensional estimation algorithm Gaussian
上傳時間： 2013-12-03
上傳用戶：我們的船長
％ decode with soft-input viterbi algorithm 硬判決 ％ //k=4,r=1/2 ％輸入數據為軟信息，并且數據為均值為1的BPSK調制，如果均值為MEAN,那么62,63,103,104行應做相應修改
標簽： soft-input algorithm viterbi decode
上傳時間： 2014-10-28
上傳用戶：aig85
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