搜索结果
找到约 420 项符合
fly-over 的查询结果
通讯/手机编程 BPSK over rayleigh channel performance estimation
BPSK over rayleigh channel performance estimation
系统设计方案 Orthogonal Time–Frequency Signalin Over Doubly Dispersive Channels
Orthogonal Time–Frequency Signalin
Over Doubly Dispersive Channels,IEEE上的文章
串口编程 Modbus RTU simulator,使用visual C++编写,相当不错。支持modbus over serial
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。
文章/文档 QoS in ternet IP revolution - from “IP over everything” to “everything over IP” Current Internet g
QoS in ternet
IP revolution - from “IP over everything” to “everything over IP”
Current Internet guarantee: Best Effort only.
人工智能/神经网络 Somebody over on the Generation5 forum asked for a "Hello World!" program for genetic algorithms. I
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!"
文章/文档 Embedded hardware application note - over sampling application of an ADC
Embedded hardware application note - over sampling application of an ADC
邮电通讯系统 This program simulates the bit-error-rate (BER) performance of OSTBC with L=4 antennas over the fr
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.
Linux/Unix编程 学习mp3格式的好源码A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
学习mp3格式的好源码A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
Java编程 Apache 2.0.63 is the current stable version of the 2.0 series, and is recommended over any previous
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.
数学计算 runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z)
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 ...