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Threeway.tar
- Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbox)-Tucker, B6, GRAM, RAFA and misc. 2nd order models with a test's data et (old version now covered by the N-way Toolbox )
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian m
cdma
- FIR model to use for the multipath delay. e.g. Multi=[1 0 0 0 0.5], has the direct signal at time 0, and a single reflection of 50 strength of the direct signal at a delay of 4 samples. MISC: 1. Over-Sampling: This sets the am
channel
- FIR model to use for the multipath delay. e.g. Multi=[1 0 0 0 0.5], has the direct signal at time 0, and a single reflection of 50 strength of the direct signal at a delay of 4 samples. MISC: 1. Over-Sampling: This sets the am
trancdma
- FIR model to use for the multipath delay. e.g. Multi=[1 0 0 0 0.5], has the direct signal at time 0, and a single reflection of 50 strength of the direct signal at a delay of 4 samples. MISC: 1. Over-Sampling: This sets the am
demodpsk
- FIR model to use for the multipath delay. e.g. Multi=[1 0 0 0 0.5], has the direct signal at time 0, and a single reflection of 50 strength of the direct signal at a delay of 4 samples. MISC: 1. Over-Sampling: This sets the am
simcdma
- FIR model to use for the multipath delay. e.g. Multi=[1 0 0 0 0.5], has the direct signal at time 0, and a single reflection of 50 strength of the direct signal at a delay of 4 samples. MISC: 1. Over-Sampling: This sets the am
famousz-misc
- k-means及Isodata 聚类算法的实现，用c++代码实现，输入数据为Iris，输出分类类结果。 包含Iris数据及所有头文件和.cpp文件。-Isodata k-means clustering algorithm and implementation, using c++ code implement,. the input data is the Iris, the output classification class results. contains Iris d
Misc
- Fast fourier transform computing
Misc
- m.file for image processing applications