d_iceland

说明：  基于加权RLS的自适应去混响算法，包括了混响音频的样本和去混响后的样本，对其运行演示听取到语音处理前后会有些一点儿的差异(Adaptive-Dereverberation-Algorithm-master)

Keeloq编解码例程包含解码编码源程序及应用笔记.rar(KEELOQ decoder codec routines contains source code and application notes. Rar)

流形学习matlab实现源码，好东西大家一起分享(Manifold learning matlab source code to achieve good things to share with everyone)

跟踪连续图像序列中的运动目标--小白车(meanshift code)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

image processing in matlab

包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression)

这是一个完整的无线通信系统中物理层的仿真程序，通过扩频技术（直接序列扩频）让信号通过高斯，瑞利等信道进行信噪比分析，得出结论(This is a complete wireless communication systems in the physical layer of the simulation program, through the spread-spectrum techniques (Direct Sequence Spread Spectrum) to signal through the Gaussian, Rayleigh channel for signal to noise ratio, such as analysis, come to the conclusion)

说明：  介绍了数字滤波器的种类和设计方法,在MATLAB环境下对满足有源滤波器性能要求 的低通数字式滤波器进行了实例设计,并分析了其滤波特性,最后结合有源滤波器中所使用的DSP 控制器,完成了该低通数字滤波器的实现。 (Describes the type and design of digital filter method, under the MATLAB environment to meet the performance requirements of active filter low-pass digital filter design example was carried out, and analyzes its filtering properties, the final combination in the active filter DSP controller is used to complete the low-pass digital filter implementation.)

利用matlab自带的fisheriris数据集（为了可视化将其看成两类）（setosa类和非setosa类）测试svm(test the svmtrain and svmslassify functions by the fisheriris by the matlab software)