java-introduce-matlab-applet

数组图像处理阈值分割 ＭＡＴＬＡＢ源程序

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

maltlab 课程的经典示例是英文原著Matlab programming for engineers 的示例(maltlab course the classic example is the English original Matlab programming for engineers of the sample)

本程序仿真了AWGN信道下，采用DS扩频对bpsk信号的影响，扩频码采用walsh码，扩频因子16； 接收端进行rake接收，然后分集合并，比较了三种分集方式对误码率的影响 从图像可以看出在扩频因子较高的情况下，最大比值合并与等增益合并性能相近(This program simulates the AWGN channel, using DS spread spectrum signal for bpsk influence spreading code using walsh code spreading factor 16 Rake receiver receiving end, and diversity combining, diversity compares three methods on the bit error rate of As can be seen from the image in the case of higher spreading factor, the maximum ratio combining and equal gain combining similar performance)

QPSK软件接收机,对QPSK整个接收过程进行仿真，包括载频捕获、相位跟踪、滤波、判决等。(QPSK software receiver for receiving QPSK whole process simulation, including the carrier frequency acquisition, phase tracking, filtering, and other judgments.)

matlab实现16QAM的调盒解调(matlab achieve 16QAM modulation demodulator box)

matlab skin detection

Qam modulation effective matlab code

MATLAB的恒虚警处理的一种程序 基于高斯杂波分布下的(This is a matlab code.)

用于实现IEEE33节点配电网系统中接入5个微电网的最优注入功率优化，使用粒子群算法实现。(Used to achieve access to the IEEE33 5 node distribution network system in micro grid optimal injection power optimization, using particle swarm algorithm)