dc_pgm

PSK调制与解调，通过MATLAB仿真实现其PSK功能(PSK modulation and demodulation )

说明：  基于matlab的PIV算法，简单易懂，专为初学者编写。(A Simple and easy to understand PIV algorithm, designed for beginners.)

sphere decoding for MIMO communication system (sphere decoding for MIMO communication sy stem)

通信网理论相关书籍资料并且附有书籍课后练习题答案(Data communication network theory books and books after class exercises with answers)

de boor 算法在turbo C2.0开发环境下的程序代码(de boor algorithm development environment in the turbo C2.0 program code)

In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple structure and fast convergence speed. The adaptive learning law of orthogonal neural network is derived to guarantee that the adaptive weight errors and tracking errors are bound by using Lyapunov stability theory. Simulation results are given for a two-link robot in the end of the paper, and the control scheme is validated.

本代码是《通信信号处理》课程的大作业相应的代码。主要是通信信号发射端的仿真，具体功能是：1. 产生任意长度的伪随机序列，将序列映射为I,Q两路的信号，2.均方根升余弦滤波器成型. 3.经过通带衰减为3dB的倾斜滤波器（模拟信道衰落效果）4.插零，半带滤波器升抽样。 5.NCO处理单元调制(This code is communication signal processing courses corresponding to the large code. Mainly is the simulation of the communication signal transmitter, the specific functions are: 1. Produce arbitrary length of the pseudo-random sequence, the sequence mapping for the I, Q two-way signal, 2. Raise the root-mean-square filter forming 3. After passband attenuation 3dB tilt filter (analog channel fading effect) 4. Insert zero, half-band filter l sampling. 5. NCO processing unit modulation)

matalab的书籍，洗碗柜几点发的上课了几分快乐的vfdbfsvfdv (On dem good things and academic research can be used to offer you and progressive)

MATLAB基础知识详解PPT，可以更好的学习MATLAB(Detailed knowledge of MATLAB-based PPT, you can better learn MATLAB)

离散系统结构。包括IIR系统、FIR系统、Lattice结构及其MATLAB实现。(Discrete system structure. Including IIR systems, FIR systems, Lattice structure and its MATLAB implementation.)