Lyapunov

QPSK Transmitter and I/Q Correlator Receiver is based on the technique of queing the information in a bit stream and on the receving end using FFT and some additive filters, as the addition of noise is made to infuse the need of a filter. Necessarily a Baseband filter is used. Modulation acheived at the receiving end. (QPSK Transmitter and I/Q Correlator Recei ver is based on the technique of the infor queing mation in a bit stream and on the receving end usi ng FFT and some additive filters, as the addition of noise is made to infuse the nee d of a filter. Necessarily a Baseband filter is u sed. Modulation achieved at the receiving end.)

Adaptive Contrast Enhancmentusing Low Pass Gaussian Filter

matlab关于解偏微分方程的教程 里面有很多例子和程序供读者学习(Matlab on the solution of partial differential equations. There are many examples and procedures for the readers to learn)

OFDM水声通信系统中的matlab程序仿真(OFDM communication system simulation)

产生一个长为1000的二进制随机序列，“0”的概率为 0.8，”1”的概率为0.2；  对上述数据进行归零AMI编码，脉冲宽度为符号宽度 的50 ，波形采样率为符号率的8倍，画出前20个符 号对应的波形（同时给出前20位信源序列）  改用HDB3码，画出前20个符号对应的波形  改用密勒码，画出前20个符号对应的波形  分别对上述1000个符号的波形进行功率谱估计，画出 功率谱  改变信源“0”的概率，观察AMI码的功率谱变化情况 (Base band signal spectrum)

说明：  全功率变流器，SVPWM（空间矢量脉宽调制技术）技术(Full power converter, SVPWM Technology)

main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting. A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform. * Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets.

interface para el estudio de imagenes

比较全的信号统计特征的调用程序，包括均值MV, 均方根值RMS, 方根幅值RA, 绝对平均值AA, 偏斜度SKEW, 峭度KV, 方差VAR, 最大值maxW, 最小值minW, 峰-峰值PPV(Compare all the statistical characteristics of the signal caller, including mean MV, RMS value RMS, root amplitude RA, absolute average AA, skewness SKEW, kurtosis KV, variance VAR, max maxW, minimum minW , peak- PPV)

Discrete Fourier transform GUI for MATLAB.