Reshaped Wirtinger Flow for Solving Quadratic System of Equations

Authors: Huishuai Zhang, Yingbin Liang

NeurIPS 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental In this section, we demonstrate the numerical efficiency of reshaped-WF by comparing its performance with other competitive algorithms. Our experiments are run not only for real-valued case but also for complex-valued and CDP cases. All the experiments are implemented in Matlab 2015b and carried out on a computer equipped with Intel Core i7 3.4GHz CPU and 12GB RAM. and Figure 3 plots the fraction of successful trials out of 100 trials for all algorithms, with respect to m. and Table 1: Comparison of iteration count and time cost among algorithms (n = 1000, m = 8n)
Researcher Affiliation Academia Huishuai Zhang Department of EECS Syracuse University Syracuse, NY 13244 hzhan23@syr.edu Yingbin Liang Department of EECS Syracuse University Syracuse, NY 13244 yliang06@syr.edu
Pseudocode Yes Algorithm 1 Reshaped Wirtinger Flow
Open Source Code No The paper does not provide a link to its own source code or an explicit statement of its release. It mentions using codes from 'original papers' for other algorithms, but not its own.
Open Datasets No For the real case, we generate signal x N(0, In n), and the measurement vectors ai N(0, In n) i.i.d. for i = 1, . . . , m. For the complex case, we generate signal x N(0, In n) + j N(0, In n) and measurements ai 1 2N(0, In n) + j 1 2N(0, In n) i.i.d. for i = 1, . . . , m.
Dataset Splits No The paper describes experiments with synthetic data and specific parameters but does not specify explicit training, validation, and test dataset splits with percentages or sample counts.
Hardware Specification Yes All the experiments are implemented in Matlab 2015b and carried out on a computer equipped with Intel Core i7 3.4GHz CPU and 12GB RAM.
Software Dependencies Yes All the experiments are implemented in Matlab 2015b
Experiment Setup Yes Suggested values for parameters are αl = 1, αu = 5 and µ = 0.8. and For reshaped-WF, we follow Algorithm 1 with suggested parameters. and We conduct the experiment for real, complex and CDP cases respectively. For real and complex cases, we set the signal dimension n to be 1000, and the ratio m/n take values from 2 to 6 by a step size 0.1. For each m, we run 100 trials and count the number of successful trials. For each trial, we run a fixed number of iterations T = 1000 for all algorithms. A trial is declared to be successful if z(T ), the output of the algorithm, satisfies dist(z(T ), x)/ x 10 5.