Gonzalezdigitalimageprocessingmatlabversionofsourc

Cross frecuency relations

能够实现定点小数的机器数表示、定点小数的变形补码加减运算、定点小数的原码一位乘法运算和浮点数的加减运算。(Able to achieve fixed-point decimal number of machines that the deformation of complement fixed-point decimal addition and subtraction operations, the original code a fixed-point decimal multiplication and floating-point operations of addition and subtraction.)

adaptive filter matlab codes. The folder contains LMS and LMA functions

A pv module is modeled in MATLAB/SIMULINK environment with use of mathematical equations that describe pv module s schematic model. This model has 2 inputs named Vpv and insolation and has 2 outputs named Ipv and Ppv. Insolation signal is varying.

使用matlab绘心形图画，利用弧线画花萼、花瓣等花的细节信息，表白专用(Use matlab heart-shaped picture painted by the arc drawn sepals, petals and other floral details, declare special)

SISI with TWO INPUTS TO SAY WHETHER STUDENT I S GOOD OR NOT

这个一个进行频率检测的程序，简单实用，欢迎大家下载学习(The frequency of detection of an ongoing program, simple and practical, are welcome to download the study)

the example source code for the pmw generate signal

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.

用matlab仿真实现ldpc编解码，BPSK调制, 测定误码率与信噪比的关系(Using matlab simulation to realize LDPC Encoding and decoding, BPSK modulation, and to determine the relationship between bit error rate and signal-to-noise ratio)