Description: This program demonstrates a half-duplex 9600-baud UART using // Timer_A3 using no XTAL and an external resistor for DCO ROSC. DCO used for // TACLK UART baud generation. The program will wait in LPM4, echoing back // a received character using 8N1 protocol. On valid RX character, the // character is echoed back. // Using a 100k resistor on ROSC, with default DCO setting, set DCOCLK ~ 2MHz. // ACLK = n/a, MCLK = SMCLK ~2MHz DCOCLK
標簽： using demonstrates Description half-duplex
上傳時間： 2014-01-14
上傳用戶：cuiyashuo
MATLAB的程序最大熵譜法,Brug法和Levinson法MATLAB procedures maximum entropy spectrum, Brug law and the law Levinson
標簽： MATLAB Brug procedures law
上傳時間： 2014-01-03
上傳用戶：zsjzc
This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
標簽： correlation satisfying function estimate
上傳時間： 2013-12-21
上傳用戶：朗朗乾坤
spserver 是一個實現了半同步/半異步(Half-Sync/Half-Async)和領導者/追隨者(Leader/Follower) 模式的服務器框架，能夠簡化 TCP server 的開發工作。 spserver 使用 c++ 實現，目前實現了以下功能： 1.封裝了 TCP server 中接受連接的功能； 2.使用非阻塞型I/O和事件驅動模型，由主線程負責處理所有 TCP 連接上的數據讀取和發送，因此連接數不受線程數的限制； 3.主線程讀取到的數據放入隊列，由一個線程池處理實際的業務。 4.一個 http 服務器框架，即嵌入式 web 服務器（請參考： SPWebServer：一個基于 SPServer 的 web 服務器框架）
標簽： Half-Async Half-Sync spserver Follower
上傳時間： 2013-12-17
上傳用戶：JasonC
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
標簽： equivalent likelihood algorithm Sejnowski
上傳時間： 2016-09-17
上傳用戶：Altman
Maximum Likelihood Methods in Radar Array Signal Processing
標簽： Likelihood Processing Maximum Methods
上傳時間： 2013-12-29
上傳用戶：dave520l
This an interpolating by 2 half-band filter with 79 taps (40 none-zero coefficients).
標簽： interpolating coefficients half-band none-zero
上傳時間： 2016-10-07
上傳用戶：Andy123456
the text file QMLE contains the quasi maximum likelyhood estimating procedure and performing Information Matrix test for a univariate GARCH(1,1) model
標簽： estimating likelyhood performing the
上傳時間： 2014-11-22
上傳用戶：zhenyushaw
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
97 law to enhance the classic procedure Ridge wavelet extraction Modulus maximum for the wavelet edge detection Small spectral analysis method mallat classic procedure
標簽： wavelet extraction the procedure
上傳時間： 2014-01-09
上傳用戶：xg262122
