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<li id="4m4gm"></li> The TMS320VC5506/C5507/C5509A USB peripherals can be clocked from either the USB APLL or the USB DPLL. Since the APLL is inherently more NOISE tolerant and has less long-term jitter than the DPLL, it is recommended that you switch to it for any USB operations.
標簽： USB peripherals the clocked
上傳時間： 2014-01-01
上傳用戶：yuzsu
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.
標簽： mean-square multiuser receiver project
上傳時間： 2014-11-21
上傳用戶：ywqaxiwang
The TW2835 has four high quality NTSC/PAL video decoders, dual color display controllers and dual video encoders. The TW2835 contains four built-in analog anti-aliasing filters, four 10bit Analog-to-Digital converters, and proprietary digital gain/clamp controller, high quality Y/C separator to reduce cross-NOISE and high performance free scaler. Four built-in motion,
標簽： dual controllers decoders display
上傳時間： 2017-03-20
上傳用戶：來茴
這是I2c網關Id獨立燒寫程序， 燒寫的ID必須要求是：“0~9”、“a~z”、“A~Z”的16為字符才能燒寫成功。 其中當是輸入的小寫字母時，自動轉換為大些燒入。 如： 1） # ./burnID 0123456789abcdef 燒入的是：0123456789ABCDEF 2] # ./burnID 0123456789@ cdef 燒入不成功，因為有其他字符 3） # ./burnID 0123456789abcdefDfs 燒入也不成，因為超過16個字符 built-in analog anti-aliasing filters, four 10bit Analog-to-Digital converters, and proprietary digital gain/clamp controller, high quality Y/C separator to reduce cross-NOISE and high performance free scaler. Four built-in motion,
上傳時間： 2017-03-20
上傳用戶：playboys0
This paper presents a novel technique to increase the quality of medical images based on Histogram Equalization. In the proposed method first we have applied a NOISE reduction method and then we apply some suitable preprocessing on histogram of the medical images and after that histogram equalization has been applied on the new histogram. Our proposed method in despite of its simplicity has better results in compare to other usual methods based on histogram equalization. The quality of resulted images after applying our proposed methods has been tested on a database (medical images) with a confirmed criterion by viewer. Also we have considered a mathematical criterion for comparing our proposed algorithm with other available methods for contrast enhancement. Results show the better efficiency of the proposed method.
標簽： Histogram technique increase presents
上傳時間： 2017-04-20
上傳用戶：VRMMO
This file include the normalized LMS algorithm and subband LMS algorithm. all of them are in m.file This file can be used to echo NOISE cancellation, and active NOISE control
標簽： algorithm file normalized LMS
上傳時間： 2014-02-06
上傳用戶：czl10052678
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white NOISE criterion and specified false alarm probability.
標簽： detection Classical threshold additive
上傳時間： 2013-12-22
上傳用戶：希醬大魔王
With the Wireless module, OPNET can model both terrestrial and satellite radio systems. In this tutorial, you will use Modeler and Wireless modeling to create a radio network you will also observe variations in the quality of received signal that results from radio NOISE at the receiving node in a dynamic network topology.
標簽： terrestrial satellite Wireless systems
上傳時間： 2017-08-06
上傳用戶：xwd2010
Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1 is sent and the probability that the symbol 0 is sent are all the same. 2) The probability that the symbol 1 is sent is two times than the probability that the symbol 0 is sent. Assume that the NOISE is Gaussian distributed with mean=0 and 2 = 1.
標簽： probability following the Consider
上傳時間： 2017-08-15
上傳用戶：凌云御清風
Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with NOISE generator such as Gaussian NOISE, Salt and Pepper NOISE
標簽： frequency enhancement Gaussian Fourier
上傳時間： 2017-08-24
上傳用戶：xinzhch
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