BPSK over rayleigh channel performance estimation
標(biāo)簽： performance estimation rayleigh channel
上傳時間： 2014-08-08
上傳用戶：luopoguixiong
Orthogonal Time–Frequency Signalin Over Doubly Dispersive Channels，IEEE上的文章
標(biāo)簽： Orthogonal Dispersive Frequency Channels
上傳時間： 2014-01-22
上傳用戶：xg262122
Modbus RTU simulator,使用visual C++編寫,相當(dāng)不錯。支持modbus over serial，modbus over TCP/IP, 相當(dāng)不錯。
標(biāo)簽： simulator Modbus modbus serial
上傳時間： 2013-12-26
上傳用戶：aa54
QoS in ternet IP revolution - from “IP over everything” to “everything over IP” Current Internet guarantee: Best Effort only.
標(biāo)簽： everything over revolution Internet
上傳時間： 2016-03-05
上傳用戶：小眼睛LSL
Somebody over on the Generation5 forum asked for a "Hello World!" program for genetic algorithms. I took it literally and created a very simple program (138 lines of code) that evolves the phrase "Hello world!"
標(biāo)簽： Generation5 algorithms for Somebody
上傳時間： 2016-03-07
上傳用戶：siguazgb
Embedded hardware application note - over sampling application of an ADC
標(biāo)簽： application Embedded hardware sampling
上傳時間： 2016-03-08
上傳用戶：wang5829
This program simulates the bit-error-rate (BER) performance of OSTBC with L=4 antennas over the frequency flat Rayleigh block fading channel The code is developed for real orthogonal design, code rate 1/2 modulation- 16 QAM with gray coding resulting in 2 bits/sec/Hz.
標(biāo)簽： bit-error-rate performance simulates the
上傳時間： 2014-01-13
上傳用戶：whenfly
學(xué)習(xí)mp3格式的好源碼A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
標(biāo)簽： high-fidelity decompressor MPEG-Audio DSP-based
上傳時間： 2016-04-03
上傳用戶：gaome
Apache 2.0.63 is the current stable version of the 2.0 series, and is recommended over any previous 2.0 release. This release fixes a few potential security vulnerabilites.
標(biāo)簽： recommended the previous current
上傳時間： 2016-04-14
上傳用戶：hullow
runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and error matrix Ey (reshaped) for y and Ea for a along with inovation prob P = P(y_t | D_t-1) = evidence
標(biāo)簽： matrix observations Kalman-Bucy prediction
上傳時間： 2016-04-28
上傳用戶：huannan88
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