资源列表
CFRdemo
- 压缩感知matlab代码，在欠采样的条件下实现模数转换。在超宽带和频谱混叠的情况下亦可通过本软件仿真。具有较高的参考价值。-Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. A more challenging problem is spectrum-blind sub-Nyquist sampling of mult
BCS
- 压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。-The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear
A-job-shop-with-GA-method
- 用遗传算法解决一个np极难问题，即车间调度中的job shop问题。-With genetic algorithm is very difficult to solve a np problem, that is, the workshop dispatch of the job shop problem.
job-shop-with-changed-matrix
- 一个车间调度的程序，其独特之处在于可以任意输入测试矩阵进行测试。-A shop scheduling program, its unique in the input test matrix can be arbitrary test.
genetic-combination
- 一个车间调度程序,它的独特之处在于输入测试矩阵可任意测试。 -A shop scheduling program, its unique in the input test matrix can be arbitrary test.
bizhang
- 实现小车的自动避障功能，当遇到障碍物是，自动改变路径，绕过以后，返回原路径前行-Realize the functions of the handicapped, when faced with obstacles, automatically alter path round, returns the path through
lujingg
- 对智能小车的路径进行合理的规划，使得其俺预想的方式前进-Smart little path to be reasonable planning and made their way forward anticipated
PSOBC-dvhop
- 基于改进的粒子群算法的一个网络节点定位算法，并和传统的DVhop方法做了比较。-Based on the improved particle swarm algorithm of a network node localization algorithm, and the method and traditional DVhop were compared.
F0
- 利用 matlab 分别基于 ACF 和 W-AMDF 求基音频率，程序均调试通过。其中的 word 文档为下载资源，供大家参考对比-compute fundamental frequency of speech signal base on ACF and W-AMDF respectively, while the download word document for your reference.
fir
- 用matlab设计FIR维纳滤波器 假设一个点目标在x，y平面上绕单位圆做圆周运动，由于外界干扰，其运动轨迹发生了偏移。其中，x方向的干扰为均值为0，方差为0.05的高斯噪声；y方向干扰为均值为0，方差为0.06的高斯噪声。用该滤波器处理观测信号，得到其最佳估计。-FIR Wiener filter design using matlab Suppose a point target in the x, y plane around the unit circle in a circul
linkanaylsis
- 此代码是卫星上行链路和下行链路预算分析,程序为matlab程序。-my english is poor.
ROC-and-AUC-analysis
- A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.