完整的解L1正则化回归问题（lasso）的Lars算法matlab代码

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)

aplication using c# code

包含优化类的几个简单示例程序，基于互功率谱的时延估计，针对EMD方法的不足,非常适合计算机视觉方面的研究使用,最小二乘回归分析算法，详细画出了时域和频域的相关图。

全面讲解matlab7.0的原理与使用方法(Fully explain the principle and use matlab7.0)

摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。(Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.)

该文件是Newton Method for LP Support Vector Machine 文章的程序(This is a procedure for this paper with title "Newton Method for LP Support Vector Machine")

自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems.)

基于单通道的在线次级通道建模的主动 噪声控制FXLMS算法的MATLAB实现( a single channel feed-forward active noise control system based on On-line secondary path modellingthe FxLMS alogrithms You can find many information about this simulation in "Use of random noise for online transducer estimate in an adaptive attenuation system " written by L,J Eriksson and M.A Allie in 1989.)

用卡尔曼滤波方法预测目标轨迹，能够估计目标下一时刻的位置信息(Prediction of Target Trajectory by Kalman Filter)

说明：  三段脉冲体制的调频连续波的信号处理和脉冲压缩(Signal processing and pulse compression of FMCW with three pulse system)