LU-factorization

蚂蚁算法求解TSP 很不错的 Matlab程序(ant colony optimization FOR TSP)

自适应线性预测编码问题，利用白噪声序列生成信号序列，进而进行LMS迭代，计算滤波器权系数的轨迹曲线和衰减曲线(Adaptive linear predictive coding problem, the use of white noise sequence to generate signal sequence, and then LMS iteration to calculate the filter weights of the trajectory curve and the attenuation curve)

Low pass and High Pass filters aplied to images as sobel, prewitt, roberts, first derivative

—The minimum variance distortionless response (MVDR) approach is very popular in array processing. It is also employed in spectral estimation where the Fourier matrix is used in the optimization process. First, we give a general form of the MVDR where any unitary matrix can be used to estimate the spectrum. Second and most importantly, we show how the MVDR method can be used to estimate the magnitude squared coherence function, which is very useful in so many applications but so few methods exist to estimate it. Simulations show that our algorithm givesmuchmore reliable results than the one based on the popular Welch’s method.

matlab粗糙集课件,共六讲，讲解matlab下如何使用rough sets(matlab rough set courseware, a total of six speakers to explain how to use rough sets under matlab)

Matlab program generates a unit impulse signal.

Companding is essentially a technique for achieving non-uniform quantization. There are basically 2 methods which are most popular in literature.:-A-law companding and u-law companding. These algorithms help in achieving to an extend, compression. The given code shows how to compress a 14-bit code to 8-bit code and its digital implementation using matlab. Please contact by mail if a detailed description of code is needed.

Speech Noise estimate

放大转发中继通信，理论误码率，蒙特卡洛误码率，直传误码率仿真，信道容量，中断概率，功率分配仿真(Enlarge forwarding relay communication, error rate theory, Monte Carlo error rate, BER simulation forward pass, channel capacity, outage probability, power distribution simulation)

说明：  对肌电信号计算积分肌电值+均方根值+中值频率+平均功率频率(Computation of Integral EMG+RMS+Median Frequency+Average Power Frequency for EMG Signals)