4

matlab环境下估计算法pisarenkosus的实现，有不错的实验效果(matlab environment estimation algorithm pisarenkosus implementation, there is a good experimental results)

Dsp Course lec 10 DSP course

这是一个OFDM基于WLAN系统的matlab仿真程序，源代码程序采用了导频符号辅助的OFDM调制机制，采用这种机制对系统误码率进行了仿真。(This is a matlab simulation cede of OFDM based WLAN system used in ETSI BRAN,IEEE 802.11 and ABIB MMAC projects. The program code adopted the pilot symbol-aided OFDM modulation scheme and evaluated the BER performance in the scheme. )

THIS EXAMPLES CODE FOR C++

robot planning path in 3D

Avoid vehicle collision

遗传算法优化BPmatlab代码（标注清晰），保证新手看了原理之后能看懂(Genetic algorithm optimizes the BPmatlab code (clearly marked) to ensure that the novice can understand the principle after reading it.)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

卡尔曼滤波的工程应用及源代码实现(Kalman filter engineering applications and source code)

阵列信号处理的几个程序，是自己找的，可以看看(array signal processing)