Histogram-equalization

《MATLAB程序设计教程》源代码-2660为《MATLAB程序设计教程》附带全部代码(" MATLAB Programming Guide" for the source code-2660 " MATLAB Programming Guide" with all the code)

过这个程序，可以更加深入的了解FIR滤波是如何实现的。用AVR单片机 ATMEGA16L实现32阶FIR低通滤波器设计，低通截止频率为200HZ。原始信号经过AD采集后进行FIR运算，处理好的数据通过串口输出。(About this program, a more in-depth understanding of the FIR filter is how to achieve. The 32-order FIR low-pass filter design, low-pass cut-off frequency AVR microcontroller ATMEGA16L 200HZ. The original signal after AD collection, the FIR computation, the output of the processed data through the serial port.)

噪声谱估计方法，包括“minimum tracking”，“MCRA algorithm”，“IMCRA algorithm”，“Continuous minimal tracking”。(This folder contains noise-estimation algorithms,include: minimum tracking , MCRA algorithm , IMCRA algorithm , Continuous minimal tracking .)

用Hopfield神经网络方法实现TSP旅行商问题(Using Hopfield neural network implementation Traveling Salesman Problem TSP)

matlab数字水印 通过这个程序可以给原图象加上水印 但不可以提取！(a watermark sourcecode implemented by MATLAB. By using this program, primary image can be embedded while the watermark cannot be extracted.)

数字信号处理matlab实验用FFT做谱分析源代码，可放心使用(Experiment with digital signal processing matlab FFT spectrum analysis to do source code can be freely used)

对基于LMS算法的通道失配校正模型进行仿真。仿真不同信噪比条件下校正前后的通道失配度改善情况，参考信号为叠加有噪声的随机方波信号。(LMS algorithm based on channel mismatch correction model for simulation. Channel mismatch before and after the correction to improve the signal to noise ratio of different simulation conditions, the reference signal is a random noise superimposed on a square wave signal.)

高效率FFT计算程序，带有原理说明。简单易懂。(hight effient fft calculation program. including the manual.)

该进的自适应遗传算法，有利于学习遗传算法(The advanced genetic algorithm, genetic algorithm is conducive to learning)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)