PE-and-HT-

algorithm for determining glottal closure instances

matlab编写的蛙跳聚类算法，可实现聚类分析，输出分类和准确率(Leapfrog clustering algorithm matlab prepared to achieve clustering analysis, classification and output accuracy)

sequential detection

autoregresive model grade 2

说明：  多目标优化，非遗传算法，matlab编程(Multi objective optimization)

用matlab所撰寫的huffman code,裡面沒有使用matlab內建的函示,完全自己撰寫而成,使和初學者練習參考使用.(Using matlab written huffman code, which did not use the matlab built-in letter that is entirely their own written so that beginners practice and their use and reference.)

雷达应用中，杂波背景中区分出有用目标回波的恒虚警(CFAR)检测技术 源程序( Radar applications, clutter useful to distinguish target echo CFAR (CFAR) detection technology source)

说明：  压缩感知重构算法中的子空间追踪算法，是一种迭代贪婪算法。(Subspace pursuit algorithm is a kind of greedy pursuit algorithms in compressed sensing.)

Abstract :- Single-phase Cycloconverters are used for AC-AC power conversion particular for speed control of AC drives. In this work the Single-phase to single phase cycloconverter is simulated in simulink with the loads as R-Load, RL- Load & 1 phase split phase Induction Motor. Thyristors are used as the power switches during this work.

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)