资源列表
BCH_matlab
- BCH信道编译码的matlab仿真程序，附带源代码以及仿真结果图，设计数据流程图，是初学理解BCH码的好文档-BCH channel codec matlab simulation program, with source code, and Simulation results, data flow design is good for beginners to understand BCH code documentation
OFDM-communication
- 这是一个完整的OFDM通信系统仿真代码。包括信源编码信源调制，信道编码，信道估计，峰均抑制比等。实际程序可用直接运行。-This is a complete OFDM communication system simulation code. Including the source modulation source coding, channel coding, channel estimation, peak to average ratio suppression. The actual
OFDM原理探讨
- matlab扩频的，希望对大家有用,谢谢多交流
称重仪表
- 介绍一种累计配料的仪表，使用ARM芯片。具体通讯变送输出
An-adaptive-Beamforming-Algorithm
- 方向性_基于GSC结构的多麦克风数字助听器的自适应波束形成算法_高杰胡广书-An adaptive Beamforming Algorithm in GSC Structure for Multi2 Microphone Digital Hearing Aids
pll-matlab
- 通信系统锁相环pll matlab仿真，基于微分方程的一阶、二阶锁相环-Phase-locked loop pll matlab communication system simulation, based on first-order differential equations, second-order phase-locked loop
莱维飞行轨迹
- 包含莱维飞行模式的二维平面飞行轨迹及其自由游动介绍。
piccode
- 单片机驱动bs18b20温度传感器程序 驱动12864液晶显示程序 iic总线读写eeprom程序 usart串行传输数据程序 ad转换显示在液晶程序-Single-chip temperature sensor driver program bs18b20 12864 LCD driver program to read and write eeprom program usart iic bus serial data transfer program to convert the liqu
The-absolute-type-encoder
- 讲解了绝对式编码器和增量式编码器，重点介绍了绝对式编码器的接口等，具有很好的借鉴作用-Explained the absolute encoder and incremental encoder, focus on absolute type encoder interface and so on, has the very good reference
ofdm_simulation_with_matlab
- 本文先简要介绍了OFDM的基本原理，然后进行了OFDM添加循环前缀后可以抗多径干扰的数学推导，在给出OFDM系统模型的基础上，用MATLAB语言对系统进行了仿真。最后给出不同信道下，循环前缀、均衡技术对系统误码率影响的比较曲线，并得出结论。-This paper first introduces the basic principles of OFDM, and then after the OFDM cyclic prefix can be added anti-multipath inter
spectrum-density-of-NC-OFDM
- 该程序用于基于认知无线电NC-OFDM系统的仿真，用来计算信号的功率谱密度-The program for the NC-OFDM Cognitive Radio system simulation for calculating the power spectral density of the signal。
Hidden-Markov
- 关于隐马尔科夫模型方面的文献资料，介绍了HMM的原理，拓展。创新性将SVM和HMM结合应用-Literature on hidden Markov model aspects, introduced the principle of HMM expand. The innovative application of SVM and HMM combination