Algorithm-Collections-for-Digital-Signal-Processi

matlab的入门教程,Power point制作(matlab introductory tutorial, Power point production)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Maximal Ration Combining (MRC)

鱼眼畸变校正的论文可以下载国外比较经典的(Fish-eye distortion correction of the paper can be downloaded outside of the more classic)

Solves the system of equations Ax = b = LRx

建立正确的双馈风机模型, 正确模拟风机的端口特性 是进行风机并网运行特性(Establish the correct model of doubly-fed fan, correctly simulate the characteristics of port of the fan Is to conduct parallel operation characteristics of fan)

This function calculates the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT (equal power allocation) and perfect CSIT (waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated.

Gaussian pyramidal model using Matlab

飞天诚信ePass1000在BS结构下的内容读取(Flying in the BS structure integrity ePass1000 read the contents of)

说明：  毕设论文--QPSK信号全数字化解调的研究与设计(Complete set paper- QPSK signal all-digital demodulation Research and Design)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.