BPSK over rayleigh channel performance estimation
标签： performance estimation rayleigh channel
上传时间： 2014-08-08
上传用户：luopoguixiong
Orthogonal Time–Frequency Signalin Over Doubly Dispersive Channels，IEEE上的文章
标签： Orthogonal Dispersive Frequency Channels
上传时间： 2014-01-22
上传用户：xg262122
Modbus RTU simulator,使用visual C++编写,相当不错。支持modbus over serial，modbus over TCP/IP, 相当不错。
标签： simulator Modbus modbus serial
上传时间： 2013-12-26
上传用户：aa54
QoS in ternet IP revolution - from “IP over everything” to “everything over IP” Current Internet guarantee: Best Effort only.
标签： everything over revolution Internet
上传时间： 2016-03-05
上传用户：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!"
标签： Generation5 algorithms for Somebody
上传时间： 2016-03-07
上传用户：siguazgb
Embedded hardware application note - over sampling application of an ADC
标签： application Embedded hardware sampling
上传时间： 2016-03-08
上传用户：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.
标签： bit-error-rate performance simulates the
上传时间： 2014-01-13
上传用户：whenfly
学习mp3格式的好源码A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
标签： high-fidelity decompressor MPEG-Audio DSP-based
上传时间： 2016-04-03
上传用户：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.
标签： recommended the previous current
上传时间： 2016-04-14
上传用户：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
标签： matrix observations Kalman-Bucy prediction
上传时间： 2016-04-28
上传用户：huannan88
